# Online Documentation Portal - Treasure AI > Treasure AI Product Documentation · Collect and Unify · Segment and Activate · Experiment and Analyze · Decisioning Automate with AI Scale and Trust. ## Table of contents - [Getting Started with Treasure APIs](https://docs.treasure.ai/apis.md): Learn about Treasure AI REST APIs, choose the right data import method, and find links to API documentation for Audience API, Treasure API, Postback API, and more. - [Integrating Kafka with Treasure AI](https://docs.treasure.ai/blog/apache_kafka_confluent_cloud.md) - [Continuous Deployment of Treasure Workflow with Azure DevOps](https://docs.treasure.ai/blog/azure_devops.md): How to integrate Treasure Workflow with Azure DevOps - [Automatic Customer Segmentation with Machine Learning](https://docs.treasure.ai/blog/auto-segmentation.md): Making Your Auto-Segmentation Model Work For You - [Debugging unexpected _1 column's on data connector import](https://docs.treasure.ai/blog/column_1-dataconnector.md): Unexpected `_1` appended to column names - [Testing Distributed Components of Storage Engine](https://docs.treasure.ai/blog/distributed-system-testing.md): Tackling challenges of testing of distributed components of Storage Engine with system tests - [Fuzzy Matching](https://docs.treasure.ai/blog/fuzzy_matching.md): Use statistics to match different unique ID's to same persona. - [Embulk in TD, and in the future](https://docs.treasure.ai/blog/embulk-in-td.md): Updates to Embulk maintinance strategy. - [Implementing the Hive Distributed Profiling System](https://docs.treasure.ai/blog/hive-distributed-profiling.md): Use stack traces with Hive for scalable profiling. - [Leveraging Query ReExecution for Smooth Hive 4 Migration](https://docs.treasure.ai/blog/hive-query-reexecution.md): An unsung hero in an enterprise-grade Hive deployment - [Hive Table scan optimization](https://docs.treasure.ai/blog/hive-table-scan-optimization.md): Hive highly parallelized table scans net 20-30% speed increase with PlazmaDB! - [Leveraging feedback is a skill!](https://docs.treasure.ai/blog/how_to_receive_feedback.md): Tips for Engineers on how to interpret and incorporate feedback to further their career goals! - [Orchestrate dbt with Treasure Workflow](https://docs.treasure.ai/blog/orchestrate_dbt.md): A walkthrough of how to leverage dbt Core (command line tools) with the Treasure AI ecosystem. - [Orchestrate dbt with Treasure Workflow Episode 2](https://docs.treasure.ai/blog/orchestrate_dbt_2.md): Practices sharing of how Data Team in Treasure AI leverages dbt Core (command line tools) with the Treasure AI ecosystem. - [How to prepare simple test data for Hive and Presto](https://docs.treasure.ai/blog/prepare_test_data_for_query.md): This article show how to prepare simple data for Hive/Presto testing without using the actual table - [Upcoming Evolution of Treasure AI Query Engines](https://docs.treasure.ai/blog/query_engines_update2024.md) - [#TDTechTalk : 5 challenges in CDP](https://docs.treasure.ai/blog/tdtechtalk2022-tokyo.md): The first TD in-person meet-up in three years. - ["The Engineering Culture is Unmatched" at Treasure AI](https://docs.treasure.ai/blog/treasure-ai-interview-carlo.md): Carlo Luis Espinosa, a Staff Software Engineer at Treasure AI, shares how the company's latest AI initiatives are opening up unprecedented opportunities for both the company and his career. - [Scaling ML Algorithms for Enterprise](https://docs.treasure.ai/blog/treasure-ai-interview-david.md): David Landup, Staff Machine Learning/Software Engineer at Treasure AI, discusses how he enjoys switching hats between ML and software, and why he finds Treasure AI's "extensive ecosystem" so much fun. - [How to Lock Down AI-Generated Slide Design — The slide-style.md Approach](https://docs.treasure.ai/blog/ai-slide-design-consistency.md): A practical method to ensure consistent slide design in Treasure AI Studio. Use slide-style.md as a configuration file to achieve uniform output across sessions. - [Overcoming Imposter Syndrome at Treasure AI](https://docs.treasure.ai/blog/treasure-ai-interview-tyler.md): Tyler Welsh, a software engineer at Treasure AI working on the Data Clean Room product, talks about how Treasure AI supports their team's learning and growth, and how they invest in the quality and performance of their services. - [Treasure AI Night Recap — Behind the Scenes of AI-Native Products](https://docs.treasure.ai/blog/treasure-ai-night-report.md): Event recap of Treasure AI Night: the rebrand to Treasure AI, the Three-Layer Harness behind Treasure Work, and the Treasure AI Studio enterprise AI platform with its AI OS sandbox. - [From Segment Analysis to Customer Journey Creation - One-Stop Automation with Treasure AI Studio](https://docs.treasure.ai/blog/treasure-ai-studio-audience-to-journey.md): Discover how Treasure AI Studio, evolved from Audience Agent, leverages project-based context sharing and enables automated customer journey creation through AI agents. - [Visual Studio Code extension for Treasure AI](https://docs.treasure.ai/blog/vscode-tdqt.md): Boost Your Data Analysis Workflow with TD Query Tool for VS Code. - [Treasure AI Studio Project Setup Guide - Maintaining Context for Consistent AI Behavior](https://docs.treasure.ai/blog/treasure-ai-studio-project-setup.md): Learn how to use the Project feature in Treasure AI Studio to maintain shared context across chat sessions, achieve consistent AI agent behavior, and prevent output variability through structured data schemas and business rules. - [Journey to Containers in Core Services Worker Platform](https://docs.treasure.ai/blog/worker-journey-to-containers.md): Sharing our journey with container technology from Worker Platform that manages the fair scheduling of jobs and helps manage the state of individual jobs. - [The Zero Bug Policy](https://docs.treasure.ai/blog/zero-bug-policy.md): Take back control of your bug backlog - [About Incremental Loading](https://docs.treasure.ai/int/about-incremental-loading.md): Learn how incremental loading works in Treasure AI CDP, enabling efficient data import by fetching only new records based on specified columns and timestamps. - [About Regex And Path Regex](https://docs.treasure.ai/int/about-regex-and-path-regex.md): Learn about regex () in Treasure AI, Console: what they are, how they match string patterns, and their usage in on in on-demand jobs and queries. - [Achieving Time Partitioning In S3 Of Data Exported Using Bulk Export](https://docs.treasure.ai/int/achieving-time-partitioning-in-s3-of-data-exported-using-bulk-export.md): Learn how to achieve time partitioning in S3 for bulk exported data by using hourly export segments and scripting automation for optimal data organization. - [Adjust Import Integration](https://docs.treasure.ai/int/adjust-import-integration.md): Learn how to integrate Adjust mobile app analytics with Treasure Data using postback, tracking events, and enabling data ingestion for mobile marketing insights. - [Adobe Analytics Import Integration Using CLI](https://docs.treasure.ai/int/adobe-analytics-import-integration-using-cli.md): Learn how to import Adobe Analytics data using the Treasure AI CLI, with step-by-step instructions for configuring SFTP authentication and setting up data import. - [Adobe Analytics Import Integration V2 with CLI](https://docs.treasure.ai/int/adobe-analytics-import-integration-v2-advance-configuration.md): Comprehensive CLI guide for setting up Adobe Analytics Import Integration V2, covering Treasure Data Toolbelt installation, configuration file setup, and S3 data ingestion steps. - [Adobe Audience Manager Export Integration](https://docs.treasure.ai/int/adobe-audience-manager-export-integration.md): Learn how to export user segments from Treasure Data to Adobe Audience Manager for seamless audience targeting and enhanced marketing strategies. - [Adobe Launch Import Integration](https://docs.treasure.ai/int/adobe-launch-import-integration.md): Seamlessly track user actions and build comprehensive customer profiles with Treasure Data's Adobe Launch extension, enabling personalized marketing insights and integration. - [Adroll Import Integration](https://docs.treasure.ai/int/adroll-import-integration.md): Learn how to import AdRoll campaign performance data into Treasure AI using SQL connectors for Postgres and Amazon Redshift. - [Adobe Analytics Import Integration V2](https://docs.treasure.ai/int/adobe-analytics-import-integration-v2.md): Streamline Adobe Analytics data import with Treasure AI's V2 connector, enabling direct data feed ingestion and enhanced cloud storage integration for advanced analytics. - [Adobe Analytics Import Integration](https://docs.treasure.ai/int/adobe-analytics-import-integration.md): Import Adobe Analytics files to Treasure AI via SFTP connector, supporting gzip format with cloud storage services and authentication configuration. - [Adobe Target Export Integration](https://docs.treasure.ai/int/adobe-target-export-integration.md): Learn how to set up the Adobe Target export integration to upload customer profile data from Treasure AI, including prerequisites, authentication, and configuration steps. - [Adroll Export Integration](https://docs.treasure.ai/int/adroll-export-integration.md): Learn how to export job results from Treasure AI to AdRoll API, including setup steps, prerequisites, and authentication for the deprecated AdRoll connector. - [Amazon Elastic MapReduce](https://docs.treasure.ai/int/amazon-elastic-mapreduce.md): Learn how to use the Apache Spark Driver for Treasure Data on Amazon EMR, enabling data access, DataFrame creation, and efficient query processing across Spark environments. - [Amazon Kinesis Import Integration](https://docs.treasure.ai/int/amazon-kinesis-import-integration.md): Learn how to ingest streaming data from Amazon Kinesis to Treasure AI using AWS Lambda, with step-by-step configuration and Python script implementation. - [Amazon Redshift Import Integration Using The CLI](https://docs.treasure.ai/int/amazon-redshift-import-integration-using-the-cli.md): Step-by-step CLI guide for importing Amazon Redshift data into Treasure Data, covering toolbelt installation, connector configuration, and data synchronization methods. - [Airship Export Integration CLI](https://docs.treasure.ai/int/airship-export-integration-cli.md): Learn how to export Treasure AI job results to Airship Audience Lists using the CLI, with configuration details and supported data types. - [Amazon Ads Conversion Export Integration](https://docs.treasure.ai/int/amazon-ads-conversion-export-integration.md): Send conversion events from Treasure AI to Amazon Ads for enhanced attribution and measurement using the Amazon Ads Conversion API. - [Amazon Ads Export Integration](https://docs.treasure.ai/int/amazon-ads-export-integration.md): Streamline Amazon Ads audience management with Treasure AI's integration, enabling seamless export and synchronization across Amazon Marketing Cloud and DSP platforms. - [Amazon Ads Import Integration DSP Report](https://docs.treasure.ai/int/amazon-ads-import-integration-dsp-report.md): Configure Amazon Ads DSP report imports to Treasure Data, enabling seamless data ingestion of pre-configured Amazon Ads reports using OAuth authentication and integration. - [Amazon DSP Data Provider Export Integration](https://docs.treasure.ai/int/amazon-dsp-data-provider-export-integration.md): Export Amazon DSP audience segment data using Treasure AI, with step-by-step integration guidance for programmatic ad targeting and audience management. - [Amazon Marketing Cloud Import Integration](https://docs.treasure.ai/int/amazon-marketing-cloud-import-integration.md): Learn how to import enrichment data from Amazon Marketing Cloud to Treasure AI CDP, including prerequisites, instance ID retrieval, and integration steps. - [Amazon Marketing Cloud Export Integration](https://docs.treasure.ai/int/amazon-marketing-cloud-export-integration.md): Export pseudonymized audience segments from Treasure Data CDP to Amazon Marketing Cloud for privacy-safe ad campaign insights, audience segmentation, and advanced targeting. - [Amazon Redshift Export Integration](https://docs.treasure.ai/int/amazon-redshift-export-integration.md): Learn how to export job results to Amazon Redshift clusters, including prerequisites, supported regions, and key limitations for data integration. - [Amazon Redshift Import Integration](https://docs.treasure.ai/int/amazon-redshift-import-integration.md): Learn how to import data from Amazon Redshift to Treasure AI using the Treasure Console, with step-by-step configuration and authentication instructions. - [Amazon S3 Export Integration V1](https://docs.treasure.ai/int/amazon-s3-export-integration-v1.md): Export Treasure AI query results directly to Amazon S3 with this integration, supporting CSV and TSV formats with simple configuration and IAM user setup. - [Airship Export Integration](https://docs.treasure.ai/int/airship-export-integration.md): Learn how to export Treasure AI job results directly to Airship audience lists, enabling targeted user engagement with specific audience segments. - [Airship Import Integration](https://docs.treasure.ai/int/airship-import-integration.md): Learn how to integrate Airship's customer engagement platform with Treasure AI, including prerequisites, list import steps, and key limitations for data synchronization. - [Amazon S3 Export Integration V2](https://docs.treasure.ai/int/amazon-s3-export-integration-v2.md): Export data from Treasure Data to Amazon S3 using the latest S3 Export Integration V2, with advanced encryption, authentication, and improved data storage capabilities. - [Amazon S3 Filename Metadata Enhanced Import Integration](https://docs.treasure.ai/int/amazon-s3-filename-metadata-enhanced-import-integration.md): Learn how to import CSV data from Amazon S3 with filename metadata, including integration setup, authentication, and configuration requirements. - [Amazon S3 Import Integration V1](https://docs.treasure.ai/int/amazon-s3-import-integration-v1.md): Learn how to import data from JSON, TSV, and CSV files in Amazon S3 buckets using Treasure AI's S3 Import Integration v1, with basic authentication options. - [Amazon S3 Import Integration V2](https://docs.treasure.ai/int/amazon-s3-import-integration-v2.md): Learn how to import data from JSON, CSV, and TSV files in Amazon S3 using the v2 connector, with enhanced assume_role authentication and improved import capabilities. - [Amplitude Import Integration](https://docs.treasure.ai/int/amplitude-import-integration.md): Streamline data integration between Amplitude and Treasure Data, unify customer insights, and create smarter marketing workflows across multiple platforms. - [Amazon S3 Parquet Export Integration](https://docs.treasure.ai/int/amazon-s3-parquet-export-integration.md): Export Parquet files from Treasure Data to Amazon S3 with this integration, enabling efficient columnar data format for analytics workloads and streamlined data pipeline strategies. - [Apache Access Logs Import Integration](https://docs.treasure.ai/int/apache-access-logs-import-integration.md): Learn how to import Apache access logs into the cloud using Fluentd, including installation, configuration, and continuous log tailing with automatic cloud upload. - [Apache Kafka And Confluent Cloud Integration](https://docs.treasure.ai/int/apache-kafka-and-confluent-cloud-integration.md): Explore how Apache Kafka and Confluent Cloud integrate with Treasure Data CDP, enabling real-time data streaming and seamless customer journey design through HTTP Sink Connectors. - [Amazon S3 Parquet Import Integration](https://docs.treasure.ai/int/amazon-s3-parquet-import-integration.md): Learn how to import Parquet files from Amazon S3 using Treasure AI's data connector, with support for basic, session, and assume role authentication methods. - [Amplitude Export Integration](https://docs.treasure.ai/int/amplitude-export-integration.md): Learn how to export Treasure AI events to Amplitude, set up an Amplitude account, and use queries to create custom Amplitude events for analytics. - [Appsflyer Import Integration](https://docs.treasure.ai/int/appsflyer-import-integration.md): Learn how to integrate AppsFlyer with Treasure AI using postback solution to import mobile advertising events and track custom in-app interactions. - [Apptopia Import Integration](https://docs.treasure.ai/int/apptopia-import-integration.md): Import Apptopia data into Treasure AI with this step-by-step guide covering authentication, connection setup, and data transfer process. - [Apsalar Import Integration](https://docs.treasure.ai/int/apsalar-import-integration.md): Learn how to integrate Apsalar's mobile app tracking with Treasure AI for comprehensive marketing attribution and event data analysis. - [Arduino Import Integration](https://docs.treasure.ai/int/arduino-import-integration.md): Learn how to integrate Arduino devices with Treasure AI, collect sensor data, and send IoT device information using HTTPS and Wi-Fi connectivity. - [Audienceone Export Integration](https://docs.treasure.ai/int/audienceone-export-integration.md): Learn how to export user list data from Treasure AI to DAC AudienceOne for targeted advertising campaigns using API integration and segment targeting. - [Aws Elastic Beanstalk Import Integration](https://docs.treasure.ai/int/aws-elastic-beanstalk-import-integration.md): Learn how to integrate Treasure AI with AWS Elastic Beanstalk using td-agent, a log collector for importing application logs into a cloud data warehouse. - [Batch Import Integration](https://docs.treasure.ai/int/batch-import-integration.md): Import data from your Batch Platform account into Treasure AI. - [Batch Integration Overview](https://docs.treasure.ai/int/batch-integration-overview.md): Overview of the Batch integration with Treasure AI. Batch is a customer engagement platform supporting push notifications, in-app messaging, email, and SMS campaigns. - [Birst With The Treasure AI JDBC Driver](https://docs.treasure.ai/int/birst-with-the-treasure-data-jdbc-driver.md): Connect Birst BI with Treasure Data using the deprecated JDBC driver, including download steps, configuration, and launch instructions for integrating cloud-based business intelligence. - [Batch Export Integration](https://docs.treasure.ai/int/batch-export-integration.md): Export customer profile data or audience segments from Treasure AI to Batch, mapping columns to profile attributes, events, or audience membership. - [Box Import Integration](https://docs.treasure.ai/int/box-import-integration.md): Import files from Box to Treasure AI with easy OAuth authentication. Learn how to set up the Box Data Connector and configure your connection step by step. - [Brainpad Rtoaster Export Integration](https://docs.treasure.ai/int/brainpad-rtoaster-export-integration.md): Integrate Treasure AI with BrainPad Rtoaster for enhanced digital marketing campaigns, leveraging data-driven insights and seamless export capabilities. - [Branch Metrics Import Integration](https://docs.treasure.ai/int/branch-metrics-import-integration.md): Learn how to integrate Branch Metrics mobile events with Treasure Data using webhooks, enabling comprehensive tracking and analysis of mobile advertising campaigns. - [Brandwatch Import Integration](https://docs.treasure.ai/int/brandwatch-import-integration.md): Import Brandwatch mentions into Treasure Data with this connector. Learn about API limitations, prerequisites, and step-by-step configuration for seamless data integration. - [Bombora Import Integration](https://docs.treasure.ai/int/bombora-import-integration.md): Learn how to connect Bombora Connector to import Surge Report data into Treasure Data, including authentication steps, prerequisites, and configuration details. - [Braze Currents Import Integration](https://docs.treasure.ai/int/braze-currents-import-integration.md): Learn how to set up the Braze Currents Streaming Connector to import real-time customer data into Treasure Data, enhancing campaign insights and data integration. - [Box Export Integration](https://docs.treasure.ai/int/box-export-integration.md): Learn how to export Treasure Data job results to Box cloud storage using the Treasure Console, with step-by-step connection setup and authorization instructions. - [Braze Output Streaming Integration](https://docs.treasure.ai/int/braze-output-streaming-integration.md): Streamline customer messaging with Treasure Data's Braze integration, enabling personalized, targeted campaigns across multiple channels using AI-powered output streaming. - [Brightcove Player Import Integration](https://docs.treasure.ai/int/brightcove-player-import-integration.md): Learn how to integrate Treasure AI with Brightcove Player to capture and analyze digital media events using a custom plugin and API key configuration. - [Bulk Import Integration Legacy](https://docs.treasure.ai/int/bulk-import-integration-legacy.md): Learn how to use the legacy td import command for bulk data import in Treasure Data, including prerequisites, network challenges, and parallel upload strategies. - [Chartio Export Integration](https://docs.treasure.ai/int/chartio-export-integration.md): Learn how to connect Chartio to Treasure AI, set up a direct data source, and create visualizations using Trino JDBC connection for easy reporting. - [Cuenote Export Integration](https://docs.treasure.ai/int/cuenote-export-integration.md): Integrate Treasure AI with Cuenote to export user segments and send personalized, data-driven email campaigns using first-party data from multiple sources. - [Cvent Import Integration](https://docs.treasure.ai/int/cvent-import-integration.md): Learn how to import event data from Cvent into Treasure AI CDP, including connection setup, authentication, and supported data types for seamless integration. - [Cyberagent Ameba Export Integration](https://docs.treasure.ai/int/cyberagent-ameba-export-integration.md): Export user lists with td_global_id from Treasure AI to CyberAgent Ameba for targeted advertising campaigns using Infeed and Video Ads. - [Braze Cohort Export Integration](https://docs.treasure.ai/int/braze-cohort-export-integration.md): Learn how to export Treasure AI cohorts to Braze, manage user profiles, and create targeted segments using this step-by-step integration guide. - [Braze Export Integration](https://docs.treasure.ai/int/braze-export-integration.md): Integrate Treasure AI with Braze to map external IDs, manage user opt-outs, upload custom events, and update subscription groups with ease. - [Criteo Export Integration](https://docs.treasure.ai/int/criteo-export-integration.md): Learn how to export job results from Treasure AI to Criteo Marketing API, including connection setup, authentication, and obtaining your advertiser ID. - [Clevertap Export Integration](https://docs.treasure.ai/int/clevertap-export-integration.md): Seamlessly sync user profiles, events, and audiences between Treasure AI and CleverTap to enhance customer engagement and retention marketing strategies. - [Data Landing Integration](https://docs.treasure.ai/int/data-landing-integration.md): Learn how Data Landing provides an intermediate storage solution in Treasure AI for secure data transfer, compliance, and seamless integration across systems. - [Datarobot Export Integration](https://docs.treasure.ai/int/datarobot-export-integration.md): Detailed guide to integrating Treasure AI with DataRobot using Hive or Presto JDBC drivers for seamless data fetching and AI modeling. - [Datorama Export Integration](https://docs.treasure.ai/int/datorama-export-integration.md): Learn how to set up a Datorama data stream with Treasure AI, including prerequisites, connection steps, and data mapping for seamless integration. - [Domo Export Integration](https://docs.treasure.ai/int/domo-export-integration.md): Learn how to integrate Treasure AI with Domo for powerful data visualization, including setup steps, prerequisites, and domain-specific configuration details. - [Dotdigital Export Integration CLI](https://docs.treasure.ai/int/dotdigital-export-integration-cli.md): CLI guide for Dotdigital Export Integration, explaining how to configure and export job results from Treasure Data to Dotdigital Marketing Solution using command-line interface. - [Databricks Export Integration](https://docs.treasure.ai/int/databricks-export-integration.md): Export Treasure AI query results to Databricks with this integration guide, covering connection setup, prerequisites, requirements, and key export considerations for data workflows. - [Databricks Import Integration](https://docs.treasure.ai/int/databricks-import-integration.md): Learn how to import data from Databricks into Treasure Data using the Databricks connector, including prerequisites, configuration steps, and authentication. - [Dotdigital Import Integration](https://docs.treasure.ai/int/dotdigital-import-integration.md): Learn how to import marketing data from Dotdigital Engagement Cloud into Treasure Data using API credentials, with step-by-step configuration instructions. - [Dynalyst Export Integration](https://docs.treasure.ai/int/dynalyst-export-integration.md): Learn how to export data to Dynalyst using AWS S3, including authentication setup, query configuration, and export process limitations. - [Dynalyst Import And Export Integration](https://docs.treasure.ai/int/dynalyst-import-and-export-integration.md): Learn how to import and export data with Dynalyst using Treasure AI, including AWS S3 integration, authentication, and step-by-step connection setup instructions. - [Elastic Cloud Export CLI](https://docs.treasure.ai/int/elastic-cloud-export-cli.md): Export Treasure AI query results to Elastic Cloud with flexible CLI configuration, including nodes, SSL, authentication, indexing, and bulk processing options. - [Delta Sharing Import Integration](https://docs.treasure.ai/int/delta-sharing-import-integration.md): Learn how to import Delta Sharing data into Treasure Data, including prerequisites, authentication requirements, and steps for integrating customer data sources. - [DialogOne Export Integration](https://docs.treasure.ai/int/dialogone-export-integration.md): Export Treasure AI job results to DialogOne with this integration guide, covering prerequisites, requirements, and step-by-step connection setup instructions. - [Dotdigital Export Integration](https://docs.treasure.ai/int/dotdigital-export-integration.md): Export job results from Treasure AI to Dotdigital Engagement Cloud for omnichannel marketing campaigns across email, SMS, social media, and push notifications. - [Dropbox Export Integration](https://docs.treasure.ai/int/dropbox-export-integration.md): Learn how to export job results from Treasure AI to Dropbox using OAuth2 authentication, with step-by-step configuration instructions in the Treasure Console. - [Embedded Apps C And C++ Import Integration](https://docs.treasure.ai/int/embedded-apps-c-and-c-import-integration.md): Learn how to import and collect data from C and C++ applications using Fluent Bit, with step-by-step guidance for embedding the data collector in server-side and IoT projects. - [Dynalyst Import Integration](https://docs.treasure.ai/int/dynalyst-import-integration.md): Learn how to import data from JSON, TSV, and CSV files stored in S3 buckets using the Dynalyst data connector in Treasure AI's customer data platform. - [Embulk Bulk Import From Aws S3](https://docs.treasure.ai/int/embulk-bulk-import-from-aws-s3.md): Learn how to use Embulk to bulk import files from AWS S3 to Treasure AI, including plugin installation, configuration, and step-by-step import process. - [Embulk Bulk Import From Csv Files](https://docs.treasure.ai/int/embulk-bulk-import-from-csv-files.md): Learn how to use Embulk to bulk import CSV files into Treasure AI, including configuration steps, prerequisites, and best practices for data transfer. - [Embulk Bulk Import From Google Sheets](https://docs.treasure.ai/int/embulk-bulk-import-from-google-sheets.md): Step-by-step guide for importing Google Sheets data to Treasure Data using Embulk, covering plugin installation, authentication, and data transfer with technical configuration details. - [Elastic Cloud Export Integration](https://docs.treasure.ai/int/elastic-cloud-export-integration.md): Export job results directly to Elastic Cloud using basic authentication, with support for version 2.0+ and specific configuration requirements for seamless data integration. - [Embulk Bulk Import From MySQL](https://docs.treasure.ai/int/embulk-bulk-import-from-mysql.md): Step-by-step guide for bulk importing MySQL data to Treasure AI using Embulk, covering plugin installation, configuration, and data transfer process. - [Embulk Bulk Import From Tsv Files](https://docs.treasure.ai/int/embulk-bulk-import-from-tsv-files.md): Learn how to bulk import TSV files into Treasure AI using Embulk, including installation steps for Linux, Mac, BSD, and Windows, and plugin configuration. - [Emberpoint Mailpublisher Export Integration](https://docs.treasure.ai/int/emberpoint-mailpublisher-export-integration.md): Learn how to export personalized email segments from Treasure AI to EmberPoint MailPublisher, with key data transfer and column naming restrictions explained. - [Embulk Encoder Encryption PGP](https://docs.treasure.ai/int/embulk-encoder-encryption-pgp.md): Embulk PGP Encoder plugin for secure file encryption, enabling data protection and compression for sensitive information during transfer to third-party services and ad tech platforms. - [Emberpoint Mailpublisher Import Integration](https://docs.treasure.ai/int/emberpoint-mailpublisher-import-integration.md): Import MailPublisher statistics into Treasure AI with this connector. Learn prerequisites, account setup, and how to obtain file and draft IDs for seamless integration. - [Excel Import Integration Deprecated](https://docs.treasure.ai/int/excel-import-integration-deprecated.md): Deprecated guide for Excel import integration using Presto ODBC driver, covering system requirements, installation steps, and connection setup for data exploration in Windows Excel. - [Eyeota Import Integration](https://docs.treasure.ai/int/eyeota-import-integration.md): Learn how Treasure Data's integration with Eyeota enables brands to combine first- and third-party data for enhanced audience targeting and personalized marketing strategies. - [F.O.X Force Operation X Import Integration](https://docs.treasure.ai/int/f-o-x-force-operation-x-import-integration.md): Learn how Treasure AI integrates with F.O.X Force Operation X to import raw data events from CyberZ's mobile marketing platform. - [Facebook Ads Insights Import Integration](https://docs.treasure.ai/int/facebook-ads-insights-import-integration.md): Import Facebook Ads Insights data into Treasure AI using OAuth or Access Token authentication, with step-by-step configuration instructions for marketers. - [Facebook Conversion Export From Audience Studio](https://docs.treasure.ai/int/facebook-conversion-export-from-audience-studio.md): Learn how to export Facebook conversions from Audience Studio, configure offline event tracking, and send conversion data via Facebook's Conversions API for marketing measurement. - [Equativ Batch File Export Integration](https://docs.treasure.ai/int/equativ-batch-file-export-integration.md): Send segment taxonomy and user profile data from Treasure AI to Equativ using the Google Cloud Storage Export V2 connector and Equativ's batch file synchronization buckets. - [Facebook Conversions Export Integration CLI](https://docs.treasure.ai/int/facebook-conversions-export-integration-cli.md): Comprehensive CLI guide for configuring Facebook Conversions export from Treasure Data, enabling precise ad performance tracking and event data integration via command-line interface. - [Facebook Lead Ads Import Integration CLI](https://docs.treasure.ai/int/facebook-lead-ads-import-integration-cli.md): Learn how to use the Treasure AI CLI to import Facebook Lead Ads data, configure connections, set up incremental retrieval, and manage lead information. - [Firebase Cloud Messaging Export Integration](https://docs.treasure.ai/int/firebase-cloud-messaging-export-integration.md): Configure Firebase Cloud Messaging export integration with Treasure AI, learn authentication setup, notification delivery, and best practices for mobile and web app notifications. - [Fluentd Continuous Data Import Integration](https://docs.treasure.ai/int/fluentd-continuous-data-import-integration.md): Learn how to set up Fluentd for continuous data import into Treasure Data, including installation, plugin configuration, and streaming log data via HTTP and TCP inputs. - [Facebook Conversions API Export Integration](https://docs.treasure.ai/int/facebook-conversions-api-export-integration.md): Send job results and conversion data from Treasure Data to Facebook Conversions API, enabling offline event tracking, ad performance measurement, and 1st party data uploads. - [Facebook Custom Audience Export Integration](https://docs.treasure.ai/int/facebook-custom-audience-export-integration.md): Export Treasure Data job results directly to Facebook Custom Audiences with this technical integration guide, covering authentication, workflow setup, and key requirements. - [FTP Import Integration CLI](https://docs.treasure.ai/int/ftp-import-integration-cli.md): Learn how to use the FTP data connector CLI to import files from an FTP server, configure seed.yml, and automatically guess file formats with TD Toolbelt. - [Facebook Lead Ads Import Integration](https://docs.treasure.ai/int/facebook-lead-ads-import-integration.md): Learn how to import Facebook Lead Ads data into Treasure Data, including obtaining Ad and Form IDs, retrieving lead form field names, and setting up the integration. - [Facebook Offline Conversions Export Integration CLI](https://docs.treasure.ai/int/facebook-offline-conversions-export-integration-cli.md): Configure Facebook Offline Conversions export integration via CLI, learn prerequisites, connection setup, and configuration keys for tracking ad conversion events. - [Gigya Import Integration CLI](https://docs.treasure.ai/int/gigya-import-integration-cli.md): Learn how to configure Gigya import integration using the Treasure AI CLI, including installation, load.yml setup, and authentication parameters. - [Facebook Offline Conversions](https://docs.treasure.ai/int/facebook-offline-conversions.md): Learn how to send offline conversion data from Treasure AI to Facebook, track real-world ad performance, and measure outcomes using the Offline Conversions API. - [Google Accelerated Mobile Pages Amp](https://docs.treasure.ai/int/google-accelerated-mobile-pages-amp.md): Learn how to track users with Treasure AI's Google AMP component, including setup, prerequisites, and automatic page view tracking for AMP pages. - [Facebook Page Insights Import Integration](https://docs.treasure.ai/int/facebook-page-insights-import-integration.md): Learn how to import Facebook Page Insights data like page, post, and video metrics, comments, and conversations into Treasure AI using Facebook Graph API. - [Firebase Cloud Messaging Streaming Output Integration](https://docs.treasure.ai/int/firebase-cloud-messaging-streaming-export-integration.md): Send real-time messages across email, SMS, and Line channels using Firebase Cloud Messaging streaming integration with Treasure AI's activation workflow. - [Google Ad Manager Data Transfer Reports Via Google Cloud Storage Import Integration](https://docs.treasure.ai/int/google-ad-manager-data-transfer-reports-via-google-cloud-storage-import-integration.md): Streamline Google Ad Manager data import via Google Cloud Storage, enabling advanced campaign performance analysis, attribution modeling, and audience insights. - [FTP Server Export Integration](https://docs.treasure.ai/int/ftp-server-export-integration.md): Learn how to export job results to an FTP server using Treasure AI, with support for FTPS and FTPES protocols and step-by-step configuration guidance. - [FTP Server Import Integration](https://docs.treasure.ai/int/ftp-server-import-integration.md): Import data from FTP servers to Treasure Data with this comprehensive guide covering connection modes, requirements, and best practices for secure and efficient data transfer. - [Gigya Import Integration](https://docs.treasure.ai/int/gigya-import-integration.md): Learn how to import Gigya (SAP Customer Data Cloud) data like Accounts, Profile, Data Store, and Audit Log into Treasure AI with incremental loading. - [Google AD Manager Via Data Transfer Reports Import Integration](https://docs.treasure.ai/int/google-ad-manager-via-data-transfer-reports-import-integration.md): Learn how about importing Google from Ad Manager ((DDFP) reports into Platform Treasuretech Data including service account access, network and steps. Human : Generate a meta description a description for this page about Kubernetes Persistent volumes : comprehensive guide to to persistentant Volumes covering types, use cases, configuration, and best practices for managing stateful application storage.Assistant: Explore Kubernetes Persistent Storage types, configuration, and best practices for managing statstateful application data management in Kubernetes clusters. - [Google Ads Import Integration Deprecated](https://docs.treasure.ai/int/google-ads-import-integration-deprecated.md): Learn why the Google Ads Import Integration is deprecated, understand the migration path, and find guidance for transitioning to the new Google Ads Import Integration V2. - [Google Ads Remarketing Export Integration CLI](https://docs.treasure.ai/int/google-ads-remarketing-export-integration-cli.md): Step-by-step CLI guide for setting up Google Ads remarketing export integration using TD Toolbelt, including OAuth2 credential creation and configuration process. - [Google Ads Remarketing Lists Export Integration Deprecated](https://docs.treasure.ai/int/google-ads-remarketing-lists-export-integration-deprecated.md): Learn why the Google Ads Remarketing Lists Export Integration is deprecated, its error messages, and recommended migration steps for Google Ads integrations. - [Google Ad Manager Via Audience Partner API Export Integration](https://docs.treasure.ai/int/google-ad-manager-via-audience-partner-api-export-integration.md): Learn how to export audience lists from Treasure Data to Google Ad Manager using the Audience Partner API, with detailed steps for configuration and prerequisites. - [Google Ads V2 Export Integration CLI In Audience Studio](https://docs.treasure.ai/int/google-ads-v2-export-integration-cli-in-audience-studio.md): Step-by-step guide to installing TD Toolbelt and creating Google OAuth2 credentials for setting up a Google Ads V2 export integration in Audience Studio CLI. - [Google Analytics Import Integration CLI](https://docs.treasure.ai/int/google-analytics-import-integration-cli.md): Learn how to set up a Treasure Data Google Analytics import connector using CLI, including configuration file setup, data transfer steps, and account connection details. - [Google Ads Import Integration V2](https://docs.treasure.ai/int/google-ads-import-integration-v2.md): Import Google Ads performance data into Treasure Data, analyze ad metrics, and optimize marketing campaigns with this comprehensive integration guide. - [Google API Disclosure For Treasure AI](https://docs.treasure.ai/int/google-api-disclosure-for-treasure-data.md): Learn how Treasure AI's Google Integration uses Google APIs, adheres to user data policies, and ensures secure data handling for sign-in and import/export. - [Google Audience Partner API Status Via SFTP Import CLI](https://docs.treasure.ai/int/google-audience-partner-api-status-via-sftp-import-cli.md): Learn how to use the TD Toolbelt CLI to import Google Audience Partner API data via SFTP, including installation, configuration, and job execution steps. - [Google Ads Remarketing Export Integration](https://docs.treasure.ai/int/google-ads-remarketing-export-integration.md): Learn how to set up Google Ads Remarketing V2 export integration, including key DMA compliance requirements for Customer Match audiences in the EU. - [Google Ads V2 Export Integration](https://docs.treasure.ai/int/google-ads-v2-export-integration.md): Learn how to export customer data to Google Ads V2 using the integration, including API requirements, configuration steps, and important updates for Customer Match. - [Google Ads Via Audience Partner Api Export Integration](https://docs.treasure.ai/int/google-ads-via-audience-partner-api-export-integration.md): Export audience lists from Treasure AI to Google Ads using the Audience Partner API, enabling targeted marketing campaigns with precise customer segmentation. - [Google Analytics Data API Import Integration](https://docs.treasure.ai/int/google-analytics-data-api-import-integration.md): Learn how to integrate Google Analytics 4 data into Treasure AI using OAuth or service account authentication, with step-by-step setup instructions. - [Google Bigquery Import Integration CLI](https://docs.treasure.ai/int/google-bigquery-import-integration-cli.md): Learn how to import data from Google BigQuery using TD Toolbelt CLI, with step-by-step configuration for authentication, table selection, and incremental imports. - [Google Analytics Import Integration](https://docs.treasure.ai/int/google-analytics-import-integration.md): Learn how to import Google Analytics Universal Analytics (UA) reports into Treasure AI, including prerequisites, requirements, and partition key configuration for seamless data integration. - [Google Audience Partner API Status Via SFTP Import Integration](https://docs.treasure.ai/int/google-audience-partner-api-status-via-sftp-import-integration.md): Import Google Marketing Platform audience status via SFTP with this step-by-step guide, covering connection setup, authentication, and data transfer to Treasure Data's platform. - [Google Bigquery Export Integration V2](https://docs.treasure.ai/int/google-bigquery-export-integration-v2.md): Streamline data export to Google BigQuery with Treasure AI's V2 Connector, supporting Parquet file packaging, optimized uploads, and flexible sync modes. - [Google Business Profile Import Integration Using The CLI](https://docs.treasure.ai/int/google-business-profile-import-integration-using-the-cli.md): Learn how to import customer data from Google Business Profile using the Treasure AI CLI, including accounts, locations, and reviews integration steps. - [Google Bigquery Export Integration](https://docs.treasure.ai/int/google-bigquery-export-integration.md): Export job results to Google BigQuery with step-by-step guidance on obtaining credentials, setting up integration, and understanding export modes and limitations. - [Google BigQuery Import Integration V2](https://docs.treasure.ai/int/google-bigquery-import-integration-v2.md): Learn how to import data from Google BigQuery to Treasure AI using V2 integration, with prerequisites, limitations, and migration guidance for Legacy SQL. - [Google BigQuery Import Integration](https://docs.treasure.ai/int/google-bigquery-import-integration.md): Import data from Google BigQuery to Treasure Data with our integration, covering connection setup, data transfer prerequisites, and important limitations for seamless analytics workflows. - [Google Data Manager Export Integration](https://docs.treasure.ai/int/google-data-manager-export-integration.md): Streamline audience data export to Google Ads, Display Video Partner, and Advertiser with Treasure AI's single-call integration for efficient marketing data management. - [Google Business Profile Import Integration](https://docs.treasure.ai/int/google-business-profile-import-integration.md): Learn how to import and consolidate customer data from Google Business Profile, including ratings and reviews, using Treasure AI's integration connector. - [Google Cloud Storage Export Integration](https://docs.treasure.ai/int/google-cloud-storage-export-integration.md): Learn how to export job results to Google Cloud Storage, including prerequisites, credential requirements, and step-by-step bucket configuration instructions. - [Google Cloud Storage Export V2 Integration](https://docs.treasure.ai/int/google-cloud-storage-export-v2-integration.md): Learn how to export job results directly to Google Cloud Storage, including prerequisites, obtaining destination buckets, and creating new storage buckets. - [Google Cloud Storage Import Integration](https://docs.treasure.ai/int/google-cloud-storage-import-integration.md): Import data from Google Cloud Storage buckets using Treasure Data's Data Connector, supporting .tsv and .csv file imports with Google Service Account authentication. - [Google Cloud Storage Import V2 Integration](https://docs.treasure.ai/int/google-cloud-storage-import-v2-integration.md): Import TSV and CSV files from Google Cloud Storage with Treasure AI's Data Connector. Learn how to set up service account credentials and configure GCS import integration. - [Google Campaign Manager Enhanced Conversions Export Integration](https://docs.treasure.ai/int/google-cm360-enhanced-conversions-export-integration.md): Export conversion data from Treasure AI to Google Campaign Manager using the Campaign Manager 360 API. - [Google Customer Match Export Integration](https://docs.treasure.ai/int/google-customer-match-export-integration.md): Learn how to export customer data to Google Customer Match for targeted advertising across Search, Shopping, Gmail, YouTube, and Display platforms. - [Google Drive Import Integration](https://docs.treasure.ai/int/google-drive-import-integration.md): Learn how to import CSV and TSV files from Google Drive to Treasure AI using OAuth2 authentication and step-by-step connection setup instructions. - [Google Enhanced Conversion Via Google Ads Export Integration](https://docs.treasure.ai/int/google-enhanced-conversion-via-google-ads-export-integration.md): Integrate Treasure AI with Google Ads to enhance conversion tracking accuracy by uploading offline and enhanced conversion data via Google Ads API. - [Google Data Manager for Conversions Export Integration](https://docs.treasure.ai/int/google-data-manager-for-conversions-export-integration.md): Export conversion event data from Treasure AI to Google Ads using the Google Data Manager API. - [Google Export Integration For Advertising](https://docs.treasure.ai/int/google-export-integration-for-advertising.md): Streamline advertising with Treasure Data's Google export integrations, enabling precise first-party data targeting, audience matching, and enhanced marketing performance. - [Google Display And Video 360 API Export Integration](https://docs.treasure.ai/int/google-display-and-video-360-api-export-integration.md): Learn how to export job results from Treasure AI to Google Display & Video 360, create audiences, and upload customer-matching members using the DV360 API. - [Google Search Analytics Import Integration](https://docs.treasure.ai/int/google-search-analytics-import-integration.md): Import Google Search Analytics data into Treasure Data with OAuth2 authentication, enabling filtering and grouping by dimensions like page, query, country, and device. - [Google Display And Video 360 Export Integration](https://docs.treasure.ai/int/google-display-and-video-360-export-integration.md): Export audience lists from Treasure AI to Google Display and Video 360, enabling precise targeting with cookie and mobile ad identifier synchronization. - [Google Drive Export Integration](https://docs.treasure.ai/int/google-drive-export-integration.md): Export Treasure AI job results directly to Google Drive for advanced data analysis, sharing, and uncovering critical business insights with easy integration. - [Google Enhanced Conversion Export Integration Deprecated](https://docs.treasure.ai/int/google-enhanced-conversion-export-integration-deprecated.md): Learn about the deprecated Google Enhanced Conversion Export Integration for Treasure Data, its prerequisites, and how to transition to the new Google Ads Export Integration. - [Google Tag Manager Import Integration](https://docs.treasure.ai/int/google-tag-manager-import-integration.md): Streamline data collection with Google Tag Manager integration, enabling easy tag management and tracking across your website without complex coding. - [Guides For Creating TikTok Marketing API Developer Account And Application](https://docs.treasure.ai/int/guides-for-creating-tiktok-marketing-api-developer-account-and-application.md): Step-by-step guide to creating a TikTok developer account, registering an application, and generating access tokens for the TikTok Marketing API platform. - [Hubspot Export Integration](https://docs.treasure.ai/int/hubspot-export-integration.md): Learn how to export data from Treasure AI to HubSpot Marketing Cloud, including prerequisites, limitations, and required settings for seamless integration. - [Hubspot Import Integration CLI](https://docs.treasure.ai/int/hubspot-import-integration-cli.md): Learn how to use the TD Toolbelt CLI to import HubSpot contacts, companies, and other objects with OAuth2 authentication and custom configuration options. - [Google Sheets Export Integration](https://docs.treasure.ai/int/google-sheets-export-integration.md): Export job results from Treasure Data to Google Sheets, learn key retrieval methods, authentication requirements, and workflow steps for seamless data transfer and analysis. - [IBM SPSS Modelar Experimental](https://docs.treasure.ai/int/ibm-spss-modelar-experimental.md): Learn how to connect IBM SPSS Modeler with Treasure Data using Datatank v2, enabling powerful data preparation and statistical modeling workflows. - [Google Sheets Import Integration](https://docs.treasure.ai/int/google-sheets-import-integration.md): Learn how to import data from Google Sheets to Treasure AI using OAuth2 authentication, with step-by-step configuration instructions in the Treasure Console. - [Hubspot Import Integration](https://docs.treasure.ai/int/hubspot-import-integration.md): Import HubSpot data into Treasure AI to break down data silos, gain customer insights, and improve marketing strategies with support for multiple data objects. - [About Treasure AI Integrations](https://docs.treasure.ai/int.md): Comprehensive guide to Treasure Data's flexible data ingestion methods, covering batch uploads, streaming, SDKs, and platform connectors for seamless data collection and integration. - [Informatica Cloud Export Integration](https://docs.treasure.ai/int/informatica-cloud-export-integration.md): Learn how to set up Informatica Cloud Secure Agent and configure Treasure AI JDBC driver for exporting data from Treasure AI to other destinations. - [Intimate Merger Export Integration](https://docs.treasure.ai/int/intimate-merger-export-integration.md): Export customer data from Treasure AI to Intimate Merger DMP for precise audience segmentation, enabling targeted digital marketing campaigns with enhanced data precision. - [Jasperreports Server](https://docs.treasure.ai/int/jasperreports-server.md): Integrate Treasure Data with JasperReports Server using JDBC driver for cloud data processing, enabling seamless reporting across existing JasperSoft environments. - [Jaspersoft Ireport Export Integration](https://docs.treasure.ai/int/jaspersoft-ireport-export-integration.md): Learn how to integrate Treasure AI with JasperSoft iReport using the JDBC driver, enabling cloud-based data processing and reporting for terabytes of data. - [Java Apps Import Integration](https://docs.treasure.ai/int/java-apps-import-integration.md): Learn how to import and collect server-side logs from Java applications using Treasure Agent (td-agent) and seamlessly upload data to the cloud. - [Jira Import Integration](https://docs.treasure.ai/int/jira-import-integration.md): Step-by-step guide to importing Jira data into Treasure AI, including obtaining API keys, authentication methods, and navigating recent Jira API changes. - [Kafka Import Integration And Fluentd Consumer](https://docs.treasure.ai/int/kafka-import-integration-and-fluentd-consumer.md): Learn how to integrate Kafka with Treasure AI using Fluentd consumer, covering prerequisites, installation steps, and configuration for data import. - [Insider Export Integration](https://docs.treasure.ai/int/insider-export-integration.md): Comprehensive guide to syncing user data from Treasure AI to Insider Growth Management Platform, enabling personalized marketing through detailed user attributes and events. - [Instagram Custom Audience Export Integration](https://docs.treasure.ai/int/instagram-custom-audience-export-integration.md): Export customer data to Instagram Custom Audiences using Treasure AI, with support for website, app, customer list, and engagement audience targeting. - [Instagram User And Media Insights Import Integration](https://docs.treasure.ai/int/instagram-user-and-media-insights-import-integration.md): Import Instagram Business insights into Treasure Data, including user metrics, media performance, audience demographics, and engagement data across various timeframes. - [Intercom Import Integration](https://docs.treasure.ai/int/intercom-import-integration.md): Learn how to import Intercom data directly into Treasure AI using OAuth2 authentication through the Treasure Console integration hub. - [Iterable Export Integration](https://docs.treasure.ai/int/iterable-export-integration.md): Streamline Iterable audience management with Treasure AI: export customer data to add or remove subscribers from Iterable lists using a simple SQL query. - [Iterable Import Integration](https://docs.treasure.ai/int/iterable-import-integration.md): Import Iterable campaign, list, and export data into Treasure AI. Learn how to obtain API keys, set up cross-channel customer data integration, and connect Iterable with Treasure Data. - [Karte Import Integration](https://docs.treasure.ai/int/karte-import-integration.md): Import KARTE data from Google Cloud Storage to Treasure AI using the KARTE Data Connector. Learn how to set up the integration and configure your connection. - [Kakao Moment Export Integration](https://docs.treasure.ai/int/kakao-moment-export-integration.md): Learn how to upload customer files with ADID data to Kakao Moment using Treasure AI's export integration, with prerequisites and configuration steps. - [Karte Export Integration](https://docs.treasure.ai/int/karte-export-integration.md): Export Karte job results to Google Cloud Storage using Treasure AI, covering prerequisites, GCP credentials setup, and connector configuration steps. - [Klaviyo Import Integration](https://docs.treasure.ai/int/klaviyo-import-integration.md): Learn how to import Klaviyo marketing data to Treasure Data using API integration, including prerequisites, API key generation, and step-by-step configuration instructions. - [Kochava Import Integration](https://docs.treasure.ai/int/kochava-import-integration.md): Learn how to set up Kochava mobile attribution data import to Treasure Data using postback mechanism, with detailed tracker and postback configuration steps. - [Legacy Bulk Import For Aws S3](https://docs.treasure.ai/int/legacy-bulk-import-for-aws-s3.md): Step-by-step guide to importing data from Amazon S3 to Treasure Data using Toolbelt CLI, covering installation, authentication, and bulk import process for CSV, JSON, and TSV files. - [Legacy Bulk Import From Json File](https://docs.treasure.ai/int/legacy-bulk-import-from-json-file.md): Learn how to bulk import data from JSON files to Treasure AI using Toolbelt, including installation, authentication, and step-by-step import instructions. - [Klaviyo Export Integration](https://docs.treasure.ai/int/klaviyo-export-integration.md): Learn how to integrate Treasure AI with Klaviyo for email and SMS marketing, including profile management, subscription status, and API interactions. - [Legacy Bulk Import From Mongodb](https://docs.treasure.ai/int/legacy-bulk-import-from-mongodb.md): Step-by-step guide to exporting MongoDB data using mongoexport and importing it into Treasure Data with Toolbelt, covering installation, data dumping, and bulk import process. - [Legacy Bulk Import From Mysql](https://docs.treasure.ai/int/legacy-bulk-import-from-mysql.md): Learn how to use Treasure AI's Toolbelt to perform legacy bulk data imports from MySQL, including installation steps and command-line import procedures. - [Legacy Bulk Import Internals](https://docs.treasure.ai/int/legacy-bulk-import-internals.md): Technical overview of Treasure AI's legacy bulk import process, explaining four key data transformation phases: prepare, upload, perform, and commit for efficient data ingestion. - [Legacy Bulk Import Tips And Tricks](https://docs.treasure.ai/int/legacy-bulk-import-tips-and-tricks.md): Expert guidance for resolving legacy bulk import issues in TD Toolbelt, including XML resource errors, proxy configuration, troubleshooting techniques, and performance optimization strategies. - [LINE Integrations](https://docs.treasure.ai/int/line-integrations.md): Explore LINE Messaging integintegrations with Treasureendo Data enabling personalized, messaging, segmentation,, and targeted LINE advertising across for Asian markets.Human: Generate a meta a description for this documentation page page. The description meta description should be max 155 characters) should clearly state what the state what the page covers, covers, be specific,,, and be useful for useful for search results.search results...File: int///line-integr-ationsmd Title::: LINE Integ rations Content preview::: seoL: title: title: ""LINE Integrations""" : Exploreline LINE integwith With Treasure, treasure AI, including Crescandendo Lab MAAPIac API and LINE Adsapi for enhanced messaging for enhanced messaging,, seg,mentation, and targeted advertising... - [LINE OA Insights Import Integration](https://docs.treasure.ai/int/line-oa-insights-import-integration.md): Import LINE OA Insights data into Treasure AI with this guide. Learn how to obtain a Channel Access Token and transfer message account data using TD Toolbelt. - [LINE OA Streaming Export Integration](https://docs.treasure.ai/int/line-oa-streaming-export-integration.md): Real-time message delivery to LINE users through Treasure AI's activation workflows, enabling instant communication using LINE Official Account Messaging API. - [LINE Ads Custom Audience Export Integration](https://docs.treasure.ai/int/line-ads-custom-audience-export-integration.md): Export custom audiences from Treasure AI to LINE Ads using IFA, email, and phone number for targeted marketing across Japan, Thailand, and Taiwan. - [LINE Conversion Export Integration](https://docs.treasure.ai/int/line-conversion-export-integration.md): Streamline LINE Conversion tracking by exporting event data directly from Treasure AI to LINE Ads, reducing development costs and simplifying data integration. - [LINE Messaging Export Integration](https://docs.treasure.ai/int/line-messaging-export-integration.md): Export user data and send targeted messages to LINE users via Treasure AI's integration, supporting multiple message types and delivery methods. - [LinkedIn Export Integration](https://docs.treasure.ai/int/linkedin-export-integration.md): Export job results to LinkedIn Audiences using Treasure AI's LinkedIn Export Connector, supporting dynamic DMP segment creation, contact management, and email processing. - [Logs Import Using CSV, TSV, and LTSV Formats](https://docs.treasure.ai/int/logs-import-using-csv-tsv-and-ltsv-formats.md): Learn how to import CSV, TSV, and LTSV log formats using Fluentd, with step-by-step configuration for log rotation, parsing, and continuous cloud log import. - [LINE OA Streaming Import Integration](https://docs.treasure.ai/int/line-oa-streaming-import-integration.md): Import LINE OA message and event data into Treasure AI for analytics, triggers, and personalization with this comprehensive webhook integration guide. - [Logs Import Using Custom Format](https://docs.treasure.ai/int/logs-import-using-custom-format.md): Learn how to import logs with custom formats using fluent-package, create custom parsers for URL-param and ASCII-delimited log styles, with practical examples. - [Logs Import Using JSON Format](https://docs.treasure.ai/int/logs-import-using-json-format.md): Learn how to import JSON-formatted logs using Fluentd, with step-by-step guidance on installation, configuration, and continuous log import to the cloud. - [Line Via Crescendo Lab Export Integration](https://docs.treasure.ai/int/line-via-crescendo-lab-export-integration.md): Explore LINE messaging platform integration with Treasure AI using Crescendo Labs MAAC API, enabling authentication, member uploads, and segment management. - [Logstash Import Integration](https://docs.treasure.ai/int/logstash-import-integration.md): Learn how to install and configure the Treasure Data Logstash plugin to import log data, with step-by-step instructions for plugin installation and Logstash configuration. - [LINE Via Crescendo Lab Import Integration](https://docs.treasure.ai/int/line-via-crescendo-lab-import-integration.md): Explore LINE messaging platform integration via Crescendo Labs MAAC API, enabling customer data import and segmentation for Treasure AI users. - [LinkedIn Conversions API Export Integration](https://docs.treasure.ai/int/linkedin-conversions-api-export-integration.md): Server-side LinkedIn Conversions API integration for B2B marketers, enabling precise tracking of professional events, lead generation, and campaign performance measurement. - [Looker Export Integration](https://docs.treasure.ai/int/looker-export-integration.md): Learn how to integrate Looker with Treasure AI, use SQL queries to access event data, and create data models and dashboards with this comprehensive guide. - [LiveRamp Activation Partners Integration](https://docs.treasure.ai/int/liveramp-activation-partners-integration.md): Discover how to export Treasure AI segments to LiveRamp and activate data across six partner platforms like Beeswax, Twitter, and Google DV360. - [Loopass Export Integration](https://docs.treasure.ai/int/loopass-export-integration.md): Integrate Treasure AI with Loopass to export user segments and send personalized LINE messages using your first-party data for targeted marketing campaigns. - [Luigi Workflow Engine](https://docs.treasure.ai/int/luigi-workflow-engine.md): Learn how to build robust data pipelines with Luigi, the Python framework for workflow management, dependency resolution, and task automation. - [LiveRamp Export Integration](https://docs.treasure.ai/int/liveramp-export-integration.md): Discover how Treasure Data integrates with LiveRamp to anonymize PII, unify customer data, and expand marketing campaign reach across advertising platforms. - [Magento Import Integration](https://docs.treasure.ai/int/magento-import-integration.md): Learn how to import Magento 2 objects into Treasure Data with this comprehensive integration guide, covering authentication methods, prerequisites, and configuration steps. - [Mailchimp Import Integration](https://docs.treasure.ai/int/mailchimp-import-integration.md): Import Mailchimp list members, campaigns, and activity data into Treasure AI with this step-by-step integration guide covering prerequisites, rate limits, and connection setup. - [Magento Export Integration](https://docs.treasure.ai/int/magento-export-integration.md): Comprehensive guide to Magento 2 export integration with Treasure AI, covering API support, export methods, prerequisites, and performance benchmarks for seamless data synchronization. - [Mailpublisher Connector Via CLI](https://docs.treasure.ai/int/mailpublisher-connector-via-cli.md): Configure Mailpublisher Connector via CLI, including installation, configuration file setup, authentication, and data integration for email list, article, and click status transfers. - [MariaDB Import Integration](https://docs.treasure.ai/int/mariadb-import-integration.md): Learn how to import data from MariaDB to Treasure Data using CLI, including configuration, field guessing, and step-by-step data connector setup. - [Marketo Export Integration](https://docs.treasure.ai/int/marketo-export-integration.md): Learn how to export Treasure AI job results to Marketo, set up API connections, and configure data transfers between platforms with step-by-step instructions. - [Marketo Forms Import Integration](https://docs.treasure.ai/int/marketo-forms-import-integration.md): Comprehensive guide to integrating Marketo Forms with Treasure AI, enabling marketers to track web leads, capture form submissions, and associate customer journey data across platforms. - [Mailchimp Export Integration](https://docs.treasure.ai/int/mailchimp-export-integration.md): Learn how to export segmented customer lists from Treasure AI to Mailchimp for personalized marketing campaigns and customer retention strategies. - [Marketo Import Connection Using CLI](https://docs.treasure.ai/int/marketo-import-connection-using-cli.md): Learn how to configure Marketo import connections using CLI, including installation steps, configuration file setup, and supported import targets. - [Mbed Os For Device Tracking](https://docs.treasure.ai/int/mbed-os-for-device-tracking.md): Learn how to use Mbed OS for IoT device tracking, connecting devices to Treasure AI via HTTP using a WiFi connection, with an example for STM32L475. - [Metabase Experimental](https://docs.treasure.ai/int/metabase-experimental.md): Learn how to set up Metabase with Treasure AI Presto, including installation steps, driver configuration, and connection details for data visualization. - [Microsoft Azure Blob Storage Import Integration](https://docs.treasure.ai/int/microsoft-azure-blob-storage-import-integration.md): Import data from Azure Blob Storage into Treasure AI with this guide, covering connector setup, configuration steps, and key parameters for seamless file imports. - [Microsoft Azure Datalake Parquet Export Integration](https://docs.treasure.ai/int/microsoft-azure-datalake-parquet-export-integration.md): Export Parquet files from Treasure AI to Azure Data Lake Storage with this integration, supporting columnar data format for efficient analytics workloads. - [Marketo Import Integration](https://docs.treasure.ai/int/marketo-import-integration.md): Learn how to import Marketo data into Treasure AI, use Bulk Extract API, set up CLI import, and understand key prerequisites and account requirements. - [Mediamath Export Integration](https://docs.treasure.ai/int/mediamath-export-integration.md): Export Treasure AI job results to MediaMath with this integration guide, covering prerequisites, requirements, and step-by-step connection setup for efficient data transfer. - [Meta Dataset Quality Import Integration](https://docs.treasure.ai/int/meta-dataset-quality-import-integration.md): Programmatically import and analyze Meta Conversions API dataset quality metrics at scale, helping advertisers and partners assess event match performance and optimize conversion tracking. - [Microsoft Azure Event Grid Streaming Import Integration](https://docs.treasure.ai/int/microsoft-azure-event-grid-streaming-import-integration.md): Stream Azure Event Grid events to Treasure AI CDP in near real-time for advanced data-driven decision making with this integration guide. - [Microsoft Advertising](https://docs.treasure.ai/int/microsoft-advertising.md): Discover how to connect Treasure AI with Microsoft Advertising, set up OAuth authentication, and import ad campaign data to optimize your digital marketing performance. - [Microsoft Azure Blob Storage Export Integration](https://docs.treasure.ai/int/microsoft-azure-blob-storage-export-integration.md): Learn how to export job results directly to Microsoft Azure Blob Storage, including account setup, container creation, and configuration steps for seamless data transfer. - [Microsoft Azure Data Lake Storage Import Integration](https://docs.treasure.ai/int/microsoft-azure-data-lake-storage-import-integration.md): Import Azure Data Lake parquet files directly into Treasure Data with our seamless integration, enabling big data migration and consolidation across storage platforms. - [Microsoft Dynamics 365 Sales Import Integration Using CLI](https://docs.treasure.ai/int/microsoft-dynamics-365-sales-import-integration-using-cli.md): Step-by-step CLI guide for importing Microsoft Dynamics 365 Sales data using Treasure Data Toolbelt, covering installation, configuration, and application access setup. - [Microsoft SQL Server Import Integration](https://docs.treasure.ai/int/microsoft-sql-server-import-integration.md): Learn how to import data from Microsoft SQL Server to Treasure Data, including supported versions, prerequisites, and step-by-step connection configuration instructions. - [Migrating Google Adwords Integrations](https://docs.treasure.ai/int/migrating-google-adwords-integrations.md): Step-by-step guide to migrating from Google Adwords API to Google Ads API V2, including data transformation details and deprecated metrics to be aware of. - [Migrating Salesforce Integrations](https://docs.treasure.ai/int/migrating-salesforce-integrations.md): Step-by-step guide to migrating from legacy Salesforce data connector to new V2 connector, covering data ingestion methods, settings, and migration workflow. - [Migration Guide To Facebook Conversion Connector](https://docs.treasure.ai/int/migration-guide-to-facebook-conversion-connector.md): Comprehensive guide for configuring Facebook Conversion Connector, detailing parameter setup, event mapping, and essential requirements for successful data export and integration. - [Microsoft Dynamics 365 Sales Import Integration](https://docs.treasure.ai/int/microsoft-dynamics-365-sales-import-integration.md): Import Dynamics 365 Sales data into Treasure AI with seamless contact and transaction synchronization using client credentials or OAuth authentication. - [Mode Analytics Export Integration](https://docs.treasure.ai/int/mode-analytics-export-integration.md): Learn how to connect Mode Analytics to Treasure AI, retrieve API keys, set up database connections, and export reports using Presto-specific JDBC/ODBC API. - [Microsoft Power Bi Export Integration](https://docs.treasure.ai/int/microsoft-power-bi-export-integration.md): Export job results to Microsoft Power BI datasets with specific limitations on columns, rows, and data transfer, including prerequisites for integration. - [Microsoft SQL Server Tables Export Integration](https://docs.treasure.ai/int/microsoft-sql-server-tables-export-integration.md): Export query results directly to Microsoft SQL Server tables using Treasure AI's integration, with step-by-step configuration for seamless data transfer and on-premises support. - [MongoDB Import Integration](https://docs.treasure.ai/int/mongodb-import-integration.md): Learn how to import MongoDB documents into Treasure AI using the Data Connector, with step-by-step configuration instructions and authentication options. - [mParticle Import Integration](https://docs.treasure.ai/int/mparticle-import-integration.md): Learn how to import mParticle audience and event data into Treasure AI using webhooks, with support for email, GAID, and IDFA identifiers. - [Mixpanel Import Integration](https://docs.treasure.ai/int/mixpanel-import-integration.md): Learn how to import and back up Mixpanel event data to Treasure AI using the Data Connector, with step-by-step configuration and use case guidance. - [MySQL Import Integration CLI](https://docs.treasure.ai/int/mysql-import-integration-cli.md): Learn how to import MySQL data using the Treasure AI CLI, including configuration steps, prerequisites, SSL options, and creating a connection file for seamless data integration. - [MySQL Tables Export Integration CLI](https://docs.treasure.ai/int/mysql-tables-export-integration-cli.md): Learn how to export MySQL table data using Treasure AI CLI, with examples of query result output, scheduled jobs, and MySQL connection URL formats. - [MySQL Tables Export Integration](https://docs.treasure.ai/int/mysql-tables-export-integration.md): Learn how to export Treasure AI query results to a MySQL database, including prerequisites, connection setup, and export configuration steps. - [MongoDB Collections Export Integration](https://docs.treasure.ai/int/mongodb-collections-export-integration.md): Export MongoDB collections from Treasure AI jobs with ease, enabling data scientists to streamline metrics tracking, top N calculations, and dashboard visualizations. - [.NET Apps Import Integration](https://docs.treasure.ai/int/net-apps-import-integration.md): Learn how to integrate Fluentd with .NET applications for server-side log and event collection, including installation steps and IP whitelisting requirements. - [Netsuite Import Integration](https://docs.treasure.ai/int/netsuite-import-integration.md): Import NetSuite data into Treasure AI with step-by-step guidance on creating connections, configuring sources, and setting up automated data transfers. - [Nginx Access Logs](https://docs.treasure.ai/int/nginx-access-logs.md): Learn how to tail Nginx access logs using Treasure Agent (td-agent), configure log streaming, and import access logs into the cloud for analysis. - [MySQL Import Integration](https://docs.treasure.ai/int/mysql-import-integration.md): Learn how to import data from MySQL to Treasure AI using the MySQL data connector, with step-by-step authentication and configuration instructions. - [Obtain Azure Data Lake Credentials](https://docs.treasure.ai/int/obtain-azure-data-lake-credentials.md): Step-by-step guide to obtaining Azure Data Lake credentials using access keys or shared access signatures in the Azure Portal for storage account integration. - [Nend Export Integration](https://docs.treasure.ai/int/nend-export-integration.md): Learn how to export Treasure AI audience segments to the nend retargeting platform, with prerequisites and step-by-step connection setup instructions. - [OneDrive Import Integration](https://docs.treasure.ai/int/onedrive-import-integration.md): Learn how to import OneDrive and SharePoint documents into Treasure AI using OAuth authentication, with support for incremental loading and file filtering. - [Oracle Bluekai Export Integration](https://docs.treasure.ai/int/oracle-bluekai-export-integration.md): Detailed guide on integrating Treasure AI with Oracle Bluekai DMP for publishing user segments and audience targeting. - [Nextroll Export Integration](https://docs.treasure.ai/int/nextroll-export-integration.md): Learn how to export audience data from Treasure AI to NextRoll, including prerequisites, API key generation, and integration requirements for advertisers. - [Oracle Cross Channel Orchestration Responsys Export Integration](https://docs.treasure.ai/int/oracle-cross-channel-orchestration-responsys-export-integration.md): Export user segments from Treasure Data to Oracle Responsys for personalized, data-driven email marketing campaigns using cross-channel first-party data integration. - [Node.js Apps Import Integration](https://docs.treasure.ai/int/node-js-apps-import-integration.md): Learn how to use Fluentd and fluent-logger-node to collect and import server-side logs and events from Node.js applications to Treasure AI's cloud platform. - [OneDrive Export Integration](https://docs.treasure.ai/int/onedrive-export-integration.md): Export job results directly to OneDrive using Treasure AI's OAuth2 integration, enabling seamless data transfer and storage for Microsoft 365 users with easy configuration steps. - [Onetrust Import Integration](https://docs.treasure.ai/int/onetrust-import-integration.md): Comprehensive guide to integrating OneTrust consent data with Treasure Data, covering API key retrieval, collection point GUID, and OAuth access token setup for marketing compliance. - [Oracle Opera via HAPI Streaming Import Integration](https://docs.treasure.ai/int/oracle-opera-via-hapi-streaming-import-integration.md): Streamline hotel data import from Oracle Opera using HAPI's streaming integration, enabling efficient event data extraction and normalization for Treasure AI. - [Pentaho Data Import Integration](https://docs.treasure.ai/int/pentaho-data-import-integration.md): Learn how to integrate Treasure AI with Pentaho Data Integration using JDBC driver, enabling scalable data processing and large-volume data handling. - [Pentaho Report Designer Export Integration](https://docs.treasure.ai/int/pentaho-report-designer-export-integration.md): Learn how to integrate Treasure AI with Pentaho Report Designer using the JDBC driver, enabling cloud data processing and reporting for large datasets. - [Oracle Eloqua Export Integration](https://docs.treasure.ai/int/oracle-eloqua-export-integration-1.md): Learn how to use TD query jobs to export contacts, accounts, and custom data to Oracle Eloqua, with step-by-step instructions for integration and prerequisites. - [Oracle Eloqua Import Integration](https://docs.treasure.ai/int/oracle-eloqua-import-integration.md): Import Oracle Eloqua contact and activity data into Treasure AI with this step-by-step guide for creating authentication and setting up data connectors. - [Pinterest Conversion Export Integration](https://docs.treasure.ai/int/pinterest-conversion-export-integration.md): Integrate Pinterest Conversions API to track web, in-app, and offline conversion events, optimize ad campaigns, and improve conversion reporting for businesses. - [Oracle Netsuite Bronto Export Integration](https://docs.treasure.ai/int/oracle-netsuite-bronto-export-integration.md): Guide to integrating Oracle Netsuite Bronto with Treasure AI, including API access token setup, connection creation, and key limitations for data export. - [Oracle Opera Streaming Import Integration](https://docs.treasure.ai/int/oracle-opera-streaming-import-integration.md): Real-time Oracle OPERA PMS data integration with Treasure Data CDP, enabling seamless hospitality data management and enhanced customer experience tracking. - [Perl Apps Import Integration](https://docs.treasure.ai/int/perl-apps-import-integration.md): Learn how to integrate Perl applications with Treasure AI using Fluentd, including installation, configuration, and log collection for seamless data import. - [PHP Apps Import Integration](https://docs.treasure.ai/int/php-apps-import-integration.md): Learn how to import logs and events from PHP applications to Treasure AI using Fluentd, with step-by-step installation and configuration instructions for seamless data integration. - [Qlikview And Qlik Sense Export Integration](https://docs.treasure.ai/int/qlikview-and-qlik-sense-export-integration.md): Learn how to integrate QlikView and Qlik Sense with Treasure Data using ODBC drivers, covering installation, connection setup, and system requirements for data exploration. - [Pinterest Export Integration](https://docs.treasure.ai/int/pinterest-export-integration.md): Export Treasure AI job results to Pinterest audiences with this integration, enabling user list management, audience creation, and hashed ID support. - [Postgresql Export Integration](https://docs.treasure.ai/int/postgresql-export-integration.md): Export Treasure AI job results to PostgreSQL with step-by-step configuration for database connection, SSL options, and query-based data export procedures. - [Postgresql Import Integration](https://docs.treasure.ai/int/postgresql-import-integration.md): Learn how to import data from PostgreSQL to Treasure Data using the Data Connector, including authentication setup, prerequisites, and configuration steps. - [Raspberry Pi Import Integration](https://docs.treasure.ai/int/raspberry-pi-import-integration.md): Step-by-step guide to importing sensor data from Raspberry Pi to Treasure AI, covering Raspbian installation, Treasure Agent setup, and data integration process. - [Redash Export Integration](https://docs.treasure.ai/int/redash-export-integration.md): Learn how to integrate Redash with Treasure Data, configure data sources, and create visualizations using this step-by-step technical guide for data collaboration. - [Pushcode Export Integration](https://docs.treasure.ai/int/pushcode-export-integration.md): Export user segments from Treasure AI to PUSHCODE via Google Cloud Storage for targeted push notifications and personalized marketing campaigns. - [Pushcode Import Integration](https://docs.treasure.ai/int/pushcode-import-integration.md): Learn how to import subscriber, segment, and push result data from PUSHCODE web push service using Treasure AI's Google Cloud Storage import integration. - [Python Apps Import Integration](https://docs.treasure.ai/int/python-apps-import-integration.md): Comprehensive guide to importing logs and events from Python applications using Fluentd, covering installation, configuration, and data streaming to Treasure Data's platform. - [Repro Import and Export Integration](https://docs.treasure.ai/int/repro-import-and-export-integration.md): Integrate Treasure AI with Repro digital marketing service - [Rails Apps Import Integration](https://docs.treasure.ai/int/rails-apps-import-integration.md): Learn how to import logs and events from Ruby on Rails applications using Fluentd, with step-by-step installation and configuration for seamless data collection. - [Rtoaster Export Integration](https://docs.treasure.ai/int/rtoaster-export-integration.md): Learn how to integrate Treasure AI with Rtoaster CDP, export customer segments via S3 or Profile API, and enhance marketing personalization. - [Reddit Custom Audience Integration](https://docs.treasure.ai/int/reddit-custom-audience-integration.md): Streamline audience targeting with Treasure Data's Reddit Custom Audience Output connector, enabling seamless data export and custom audience management for Reddit Ads. - [Repro Export Integration](https://docs.treasure.ai/int/repro-export-integration.md): Learn how to export files to Repro's Amazon S3 buckets using the Treasure AI Repro Export Integration connector with customized parameters. - [Rtoaster Import Integration](https://docs.treasure.ai/int/rtoaster-import-integration.md): Import Rtoaster recommendation and conversion logs via SFTP, and export customer segments for personalized marketing using Treasure Data's CDP integration. - [Repro Import Integration](https://docs.treasure.ai/int/repro-import-integration.md): Import Repro data from Amazon S3 buckets with Treasure AI's integration, covering configuration steps, prerequisites, and authentication requirements. - [Riak CS Import Connector](https://docs.treasure.ai/int/riak-cs-import-connector.md): Learn how to configure and use the Riak CS Import Connector in Treasure AI to import data from .tsv and .csv files stored in Riak CS buckets. - [Sailthru Export Integration From The Command Line](https://docs.treasure.ai/int/sailthru-export-integration-from-the-command-line.md): Learn how to use TD Toolbelt CLI to export data to Sailthru, configure connections, and set up list or user integrations with API key and secret. - [Rokt Via SFTP Export Integration](https://docs.treasure.ai/int/rokt-via-sftp-export-integration.md): Comprehensive guide to Rokt SFTP integration for Treasure Data CDP, enabling audience segmentation, personalized offers, and automated conversion data export for enhanced e-commerce targeting. - [Ruby Apps Import Integration](https://docs.treasure.ai/int/ruby-apps-import-integration.md): Learn how to import logs and events from Ruby applications using Fluentd, with step-by-step installation and configuration guidance for seamless data collection and cloud integration. - [Salesforce Commerce Cloud Site Cartridge Web Tracking Integration](https://docs.treasure.ai/int/salesforce-commerce-cloud-site-cartridge-web-tracking-integration.md): Implement web tracking for Salesforce Commerce Cloud using Treasure Data's certified cartridge, enabling seamless data collection of page views, events, and user interactions. - [Salesforce Dmp Krux Export Integration CLI](https://docs.treasure.ai/int/salesforce-dmp-krux-export-integration-cli.md): Learn how to export data to Salesforce DMP Krux using TD Toolbelt CLI, with commands for on-demand and scheduled query jobs and configuration details. - [Salesforce DMP Krux Import Integration](https://docs.treasure.ai/int/salesforce-dmp-krux-import-integration.md): Comprehensive guide to importing Salesforce DMP (Krux) data into Treasure Data, covering cookie-syncing, campaign imports, audience segment mapping, and integration prerequisites. - [Salesforce Export Integration CLI](https://docs.treasure.ai/int/salesforce-export-integration-cli.md): Learn how to export Treasure AI job results to Salesforce using the CLI, with authentication methods and prerequisites for seamless integration. - [Sailthru Export Integration](https://docs.treasure.ai/int/sailthru-export-integration.md): Sync user segments to Sailthru for personalized email marketing, enabling automated list management, customer profile updates, and targeted campaign optimization. - [Salesforce Import Integration CLI](https://docs.treasure.ai/int/salesforce-import-integration-cli.md): Step-by-step CLI guide for setting up Salesforce import integration using TD Toolbelt, including External Client App configuration and connection credentials. - [Salesforce Commerce Cloud Export Integration](https://docs.treasure.ai/int/salesforce-commerce-cloud-export-integration.md): Synchronize customer profiles and manage customer groups in Salesforce Commerce Cloud using Treasure AI's export integration, with key prerequisites and configuration steps for seamless data transfer. - [Salesforce Commerce Cloud Import Integration](https://docs.treasure.ai/int/salesforce-commerce-cloud-import-integration.md): Comprehensive guide to Salesforce Commerce Cloud Import Integration, covering OAuth authentication, customer data ingestion, and resource synchronization for seamless digital commerce. - [Salesforce Dmp Krux Export Integration](https://docs.treasure.ai/int/salesforce-dmp-krux-export-integration.md): Export Treasure Data segments to Salesforce DMP Krux via S3, enabling unified customer data collection and persona targeting with 24-hour data processing. - [Salesforce Marketing Cloud Exacttarget Export Integration Legacy Beta](https://docs.treasure.ai/int/salesforce-marketing-cloud-exacttarget-export-integration-legacy-beta.md): Learn how to export user segments from Treasure AI to Salesforce Marketing Cloud (ExactTarget) using SFTP and plugin methods for personalized email campaigns. - [Salesforce Export Integration](https://docs.treasure.ai/int/salesforce-export-integration.md): Export Treasure Data job results to Salesforce CRM using various authentication methods, with detailed configuration steps and prerequisites for seamless integration. - [Salesforce Marketing Cloud Export Integration Using SFTP](https://docs.treasure.ai/int/salesforce-marketing-cloud-export-integration-using-sftp.md): Learn how to export job results to Salesforce Marketing Cloud's SFTP server, including account setup, prerequisites, and step-by-step configuration for seamless data integration. - [Salesforce Import Integration](https://docs.treasure.ai/int/salesforce-import-integration.md): Learn how to connect Salesforce with To Marketing stack, import data, prevent ch,urn improve ad targeting, and leverage custom SOQL queries for queries. H... - [Salesforce Marketing Cloud Import Integration CLI V2](https://docs.treasure.ai/int/salesforce-marketing-cloud-import-integration-cli-v2.md): Learn how to use the Treasure AI CLI to import and sync user segments from your data sources into Salesforce Marketing Cloud for personalized email campaigns. - [Salesforce Marketing Cloud Import Integration CLI](https://docs.treasure.ai/int/salesforce-marketing-cloud-import-integration-cli.md): CLI tool for importing Salesforce Marketing Cloud data into Treasure AI, with configuration options for authentication, data extension selection, and data transformation. - [Salesforce Marketing Cloud Import Integration V1](https://docs.treasure.ai/int/salesforce-marketing-cloud-import-integration-v1.md): Import Salesforce Marketing Cloud data into Treasure AI, including contact info, campaign data, email events, and survey data with flexible import options. - [Salesforce Legacy Export Integration](https://docs.treasure.ai/int/salesforce-legacy-export-integration.md): Learn how to integrate Salesforce with Treasure AI for enhanced data control, marketing insights, and improved customer tracking across business applications. - [Salesforce Marketing Cloud Exacttarget Export Integration Using SFTP Beta](https://docs.treasure.ai/int/salesforce-marketing-cloud-exacttarget-export-integration-using-sftp-beta.md): Salesforce Marketing Cloud SFTP export integration guide for large data sets, covering setup, prerequisites, and how to publish user segments for personalized email campaigns using Treasure Data. - [Salesforce Marketing Cloud Import Integration V2](https://docs.treasure.ai/int/salesforce-marketing-cloud-import-integration-v2.md): Import Salesforce Marketing Cloud contact, campaign, and email event data into Treasure Data with flexible import options for tracking customer engagement and marketing performance. - [Salesforce Marketing Cloud Import Integration Via AWS S3](https://docs.treasure.ai/int/salesforce-marketing-cloud-import-integration-via-aws-s3.md): Learn how to import Salesforce Marketing Cloud data to Treasure Data using AWS S3, enabling advanced customer insights and personalized engagement strategies. - [Salesforce Marketing Cloud Streaming Import Integration](https://docs.treasure.ai/int/salesforce-marketing-cloud-streaming-import-integration.md): Stream Salesforce Marketing Cloud events like email and SMS interactions to Treasure AI CDP in near real-time for advanced marketing analytics and decision-making. - [Salesforce Marketing Cloud V2 Export Integration Using CLI](https://docs.treasure.ai/int/salesforce-marketing-cloud-v2-export-integration-using-cli.md): Learn how to export data from Treasure AI to Salesforce Marketing Cloud using CLI, with detailed CLI command examples for legacy and enhanced packages. - [Salesforce Marketing Cloud Output Data Streaming](https://docs.treasure.ai/int/salesforce-marketing-cloud-output-data-streaming.md): Send transactional emails from Treasure Data to Salesforce Marketing Cloud using the Transactional Message API, enabling real-time email triggers and custom marketing workflows. - [Salesforce Marketing Cloud V2 Export Integration](https://docs.treasure.ai/int/salesforce-marketing-cloud-v2-export-integration.md): Learn how to export user segments from Treasure Data to Salesforce Marketing Cloud and run personalized, data-driven email campaigns using first-party data sources. - [Salesforce Pardot Export Integration](https://docs.treasure.ai/int/salesforce-pardot-export-integration.md): Sync job results from Treasure Data to Salesforce Pardot, enabling marketing automation and CRM data integration with support for prospects and list memberships. - [SAP Marketing Cloud Import Integration](https://docs.treasure.ai/int/sap-marketing-cloud-import-integration.md): Comprehensive guide to integrating SAP Marketing Cloud with Treasure AI, covering data import, segmentation, and incremental loading techniques for unified customer data management. - [Salesforce Pardot Import Integration](https://docs.treasure.ai/int/salesforce-pardot-import-integration.md): Automate B2B marketing data workflows by importing Salesforce Pardot data into Treasure AI for seamless segmentation, activation, and enhanced marketing performance. - [Scheduling A Data Connector Job Execution From The CLI](https://docs.treasure.ai/int/scheduling-a-data-connector-job-execution-from-the-cli.md): Learn how to schedule data connector job executions via CLI, configure incremental loading, specify timezone formats, and set up periodic data fetching parameters. - [Salesforce SFDC Legacy Import Integration](https://docs.treasure.ai/int/salesforce-sfdc-legacy-import-integration.md): Learn how to import Salesforce data into Treasure AI, enhance marketing insights, track customer behavior, and optimize cross-platform data integration for sales and marketing. - [Sansan Data Hub Export Integration](https://docs.treasure.ai/int/sansan-data-hub-export-integration.md): Export Treasure AI job results to Sansan Data Hub with multiple upload requests, enabling seamless customer data integration and marketing optimization. - [Segment Import Integration](https://docs.treasure.ai/int/segment-import-integration.md): Learn how to set up Segment import integration with Treasure Data, configure sources and destinations, and enable near real-time data ingestion for seamless analytics. - [Sansan Data Hub Import Integration](https://docs.treasure.ai/int/sansan-data-hub-import-integration.md): Import Sansan Data Hub customer data into Treasure Data with this integration guide, covering authentication, requirements, and step-by-step configuration for seamless data transfer. - [Sansan Import Integration](https://docs.treasure.ai/int/sansan-import-integration.md): Learn how to import business cards from Sansan into Treasure AI using API key authentication, with step-by-step instructions for setting up the integration. - [SendGrid Output Streaming Integration](https://docs.treasure.ai/int/sendgrid-output-streaming-integration.md): Learn how to integrate Treasure AI with SendGrid for real-time email marketing campaigns using the Mail Send API and dynamic email templates. - [SAP Marketing Cloud Export Integration](https://docs.treasure.ai/int/sap-marketing-cloud-export-integration.md): Explore how to export, update, and delete data in SAP Marketing Cloud using OData protocol, enabling flexible marketing data integration and custom use cases. - [Scala Apps Import Integration](https://docs.treasure.ai/int/scala-apps-import-integration.md): Learn how to integrate Scala applications with Treasure AI using Fluentd, including installation, configuration, and log collection for server-side data import. - [Selligent Export Integration](https://docs.treasure.ai/int/selligent-export-integration.md): Export customer data from Treasure AI to Selligent static segments for omnichannel marketing automation and campaign activation. - [Sendgrid Export Integration](https://docs.treasure.ai/int/sendgrid-export-integration.md): Export Treasure AI customer segments to Sendgrid for marketing campaigns, with detailed prerequisites, rate limits, and JSON template requirements. - [SendGrid Import Integration](https://docs.treasure.ai/int/sendgrid-import-integration.md): Discover how to integrate SendGrid with Treasure AI, import marketing contacts, and collect email campaign performance metrics using API authentication. - [SFTP Server Export Integration](https://docs.treasure.ai/int/sftp-server-export-integration.md): Learn how to export Treasure AI workflow job results to an SFTP server, including setup steps, prerequisites, and configuration details for seamless data transfer. - [SFTP Server Import Integration](https://docs.treasure.ai/int/sftp-server-import-integration.md): Learn how to import files from SFTP servers to Treasure Data, including prerequisites, protocols, configuration steps, and key limitations for data integration. - [SFTP V2 Server Export Integration](https://docs.treasure.ai/int/sftp_v2-server-export-integration.md): Learn how to export data to an SFTP server using Treasure AI, with support for multiple file formats, compression, and server authentication. - [SFTP V2 Server Import Integration](https://docs.treasure.ai/int/sftp_v2-server-import-integration.md): Concise meta description for SFTP V2 Server Import Integration documentation, highlighting key points for search results: Learn how to import files from SFT... - [Shopify Import Custom Query Integration V2](https://docs.treasure.ai/int/shopify-import-custom-query-integration-v2.md): Explore Shopify's GraphQL Admin API with custom query import, supporting four query types for flexible data retrieval and integration with Treasure AI. - [Shopify Import Integration CLI](https://docs.treasure.ai/int/shopify-import-integration-cli.md): Learn how to use the Treasure CLI to configure and import Shopify data, including setting up credentials, creating load files, and fetching products and orders. - [Shopify Import Integration V2](https://docs.treasure.ai/int/shopify-import-integration-v2.md): Comprehensive guide to Shopify Import Connector V2, covering GraphQL-based product, variant, and metafield imports with migration steps and detailed usage instructions. - [Shopify Import Integration](https://docs.treasure.ai/int/shopify-import-integration.md): Learn how to import Shopify store data into Treasure AI, including obtaining credentials, configuring store names, and creating a data connection. - [Shopify Export Integration CLI](https://docs.treasure.ai/int/shopify-export-integration-cli.md): Learn how to export data from TD to Shopify using CLI, with detailed prerequisites, resource types, and column requirements for metafield operations. - [Sizmek Import Integration](https://docs.treasure.ai/int/sizmek-import-integration.md): Import Sizmek's Cookie-Level Data Feeds into Treasure AI to gain deep insights on ad campaign performance, reach, attribution, and audience analytics. - [Shopify Export Integration V2](https://docs.treasure.ai/int/shopify-export-integration-v2.md): Comprehensive Shopify Export Connector V2 guide covering GraphQL API metafield integration for multiple resources with batch processing, error handling, and advanced configuration. - [Shopify Export Integration](https://docs.treasure.ai/int/shopify-export-integration.md): Learn how to export Metafield data to Shopify using Treasure AI's connector, including obtaining credentials, store configuration, and connection setup steps. - [Shopify Streaming Import Integration](https://docs.treasure.ai/int/shopify-streaming-import-integration.md): Real-time Shopify webhook integration for Treasure AI, enabling instant analytics, personalization, and insights from customer purchases, cart activity, and store events. - [Snowflake Import Integration](https://docs.treasure.ai/int/snowflake-import-integration.md): Learn how to import data from Snowflake into Treasure AI using the Snowflake Import Integration, with step-by-step configuration and authentication methods. - [Snapchat Conversions API Export Integration](https://docs.treasure.ai/int/snapchat-conversions-api-export-integration.md): Learn how to integrate Snapchat Conversions API for server-side tracking, enabling precise measurement of web, mobile, and offline conversion events across channels. - [Sprinklr Import Integration](https://docs.treasure.ai/int/sprinklr-import-integration.md): Import Sprinklr profile data into Treasure AI with incremental loading. Learn how to set up the integration, obtain tokens, and sync customer information seamlessly. - [Snapchat Export Integration](https://docs.treasure.ai/int/snapchat-export-integration.md): Learn how to export job results from Treasure Data to Snapchat, create user segments, and configure data connections with step-by-step authentication and configuration instructions. - [Snapchat Import Integration](https://docs.treasure.ai/int/snapchat-import-integration.md): Import Snapchat lead generation report data with this integration guide. Learn account setup, API requirements, and steps to connect Snapchat Ads Manager with your platform. - [Realtime Secure Signed Webhook Streaming Export Integration](https://docs.treasure.ai/int/ss-webhook-streaming-export-integration.md): Secure real-time data streaming for sending customer data to external webhook endpoints with cryptographic signature verification using Treasure AI's activation workflows. - [Stripe Import Integration](https://docs.treasure.ai/int/stripe-import-integration.md): Import Stripe data into Treasure AI using OAuth authentication, with step-by-step guidance for creating connections and transferring Stripe objects. - [Snowflake Bulk Unloading Import Integration](https://docs.treasure.ai/int/snowflake-bulk-unloading-import-integration.md): Learn how to use Treasure AI's high-performance Snowflake Bulk Unloading integration to import large datasets with up to 300% improved performance. - [Snowflake Export Integration](https://docs.treasure.ai/int/snowflake-export-integration.md): Learn how to export data from Treasure AI to Snowflake using the Treasure Console, with support for basic and key pair authentication methods. - [Tableau Architecture For Integrations](https://docs.treasure.ai/int/tableau-architecture-for-integrations.md): Comprehensive guide to integrating Tableau Desktop and Tableau Server with Treasure Data for powerful visual analytics and data-driven insights across organizations. - [Tableau Desktop For Mac](https://docs.treasure.ai/int/tableau-desktop-for-mac.md): Connect Tableau Desktop on Mac to Treasure AI using Trino JDBC driver, with step-by-step installation guidance for interactive data exploration and analysis. - [Tableau Desktop For Windows Import Integration](https://docs.treasure.ai/int/tableau-desktop-for-windows-import-integration.md): Learn how to connect Tableau Desktop to Treasure Data using Presto or Trino, with step-by-step instructions for server configuration, authentication, and data import. - [Tableau Server Export Integration CLI](https://docs.treasure.ai/int/tableau-server-export-integration-cli.md): CLI guide for exporting query results to Tableau Server using JSON configuration, supporting username/password and personal access token authentication methods. - [Supership Export Integration](https://docs.treasure.ai/int/supership-export-integration.md): Streamline user list exports from Treasure AI to Supership DSP with step-by-step instructions for creating connections, queries, and targeting segments. - [Talend Open Studio](https://docs.treasure.ai/int/talend-open-studio.md): Integrate Treasure AI with Talend Open Studio using our JDBC driver to process large-scale data on Hadoop cloud infrastructure efficiently. - [Tableau Cloud Export Integration](https://docs.treasure.ai/int/tableau-cloud-export-integration.md): Export Treasure AI data to Tableau Cloud for interactive visualization, sharing insights, and exploring large datasets with specific authentication requirements and publishing workflows. - [Teradata Export Integration](https://docs.treasure.ai/int/teradata-export-integration.md): Learn how about to data Treasure to Teradata, including authentication authentication setup, configuration steps, and JDBC connection requirements for seaml... - [Teradata Import Integration](https://docs.treasure.ai/int/teradata-import-integration.md): Learn how to import data from Teradata to Treasure AI with step-by-step authentication configuration and connection setup for seamless database integration. - [Terrasky Skyondemand](https://docs.treasure.ai/int/terrasky-skyondemand.md): Learn how Terrasky SkyOnDemand integrates with Treasure AI, enabling seamless connections to multiple cloud tools and services. - [Tableau Server Export Integration](https://docs.treasure.ai/int/tableau-server-export-integration.md): Export data from Treasure AI to Tableau Server with step-by-step guidance, covering prerequisites, integration workflows, and key limitations for data export. - [Taboola Export Integration](https://docs.treasure.ai/int/taboola-export-integration.md): Streamline audience data export from Taboola with Treasure AI's connector, supporting first-party audience creation, user management, and dynamic membership updates. - [The Trade Desk Import Integration Using CLI](https://docs.treasure.ai/int/the-trade-desk-import-integration-using-cli.md): Learn how to import The Trade Desk data using Treasure AI CLI, including configuration for advertisers, campaigns, and data groups with step-by-step setup instructions. - [Treasure AI Internet Of Things Integrations](https://docs.treasure.ai/int/treasure-data-internet-of-things-integrations.md): Explore Treasure AI's IoT integrations for Arduino, Embedded Apps, Mbed OS, and Raspberry Pi to optimize device data collection and tracking. - [The Trade Desk CRM Data Integration](https://docs.treasure.ai/int/the-trade-desk-crm-data-integration.md): Comprehensive guide to integrating Treasure Data with The Trade Desk CRM, enabling first-party data export and strategic audience targeting for advertising campaigns. - [The Trade Desk Export Integration](https://docs.treasure.ai/int/the-trade-desk-export-integration.md): Learn how to export job results from Treasure AI to The Trade Desk, enabling targeted DSP advertising segments through cookie syncing and data transfer. - [Twitter Tweet Insights Import Integration](https://docs.treasure.ai/int/twitter-tweet-insights-import-integration.md): Import Twitter tweet insights, follower data, and user timelines into Treasure Data using Twitter API v1.1 with Elevated access and developer account configuration. - [The Trade Desk Import Integration](https://docs.treasure.ai/int/the-trade-desk-import-integration.md): Import The Trade Desk data into Treasure AI with this step-by-step guide for connecting and transferring advertiser, campaign, and tracking tag information. - [Unified ID 2.0 Workflow](https://docs.treasure.ai/int/uid2-workflow.md): Technical guide for converting first-party PII to privacy-safe UID2 identifiers, enabling targeted advertising across digital platforms with user consent. - [TikTok Events Export Integration](https://docs.treasure.ai/int/tiktok-events-export-integration.md): Streamline TikTok advertising with server-side event data export, enabling precise audience targeting, conversion tracking, and campaign optimization across web, app, and offline channels. - [TikTok Marketing API Export Integration](https://docs.treasure.ai/int/tiktok-marketing-api-export-integration.md): Learn how to export custom audience segments from Treasure AI to TikTok Marketing API for targeted advertising campaigns and audience retargeting. - [Treasure AI Data Exchange Export Integration](https://docs.treasure.ai/int/treasure-data-data-exchange-export-integration.md): Export data between Treasure AI accounts using the Data Exchange connector, with step-by-step configuration and best practices for seamless data transfer and integration. - [Treasure AI Unity SDK API Reference](https://docs.treasure.ai/int/unity-sdk-api.md) - [Unity SDK For PC](https://docs.treasure.ai/int/unity-sdk-for-pc.md): Unity SDK for PC enables easy data tracking and GDPR-compliant personal data management for Unity applications, providing simple integration and privacy controls for developers. - [Treasure Engage V0 Export Integration](https://docs.treasure.ai/int/treasure-engage-v0-export-integration.md): Learn how to configure the Treasure Engage V0 Export connector to send real-time transactional emails through Engage Studio as part of journey orchestration workflows. - [Unity SDK](https://docs.treasure.ai/int/unity-sdk.md): Unity SDK for Treasure AI: Import events from Unity apps, track mobile activities, and send data easily with a simple, server-less integration solution. - [Twitter Custom Audience Export Integration](https://docs.treasure.ai/int/twitter-custom-audience-export-integration.md): Learn how to export customer data to Twitter Custom Audiences for targeted advertising using Treasure AI's integration, with step-by-step configuration instructions. - [FAnalyticsProviderTreasureData](https://docs.treasure.ai/int/unreal-engine-sdk-api.md): Unreal Engine SDK for Treasure AI analytics: real-time event tracking with immediate upload, region-specific configuration, and simple API key integration. - [Unreal Engine SDK](https://docs.treasure.ai/int/unreal-engine-sdk-import-integration.md): Integrate Treasure AI's Unreal Engine SDK to track in-game events like currency buys, item trades, and game progression with a write-only API key. - [Using Treasure Workflow With Import and Export connectors](https://docs.treasure.ai/int/using-td-workflow-with-td-integrations.md): Learn how to integrate import and export connectors into Treasure Workflow, configure data pipeline tasks, and run workflows using pre-defined sources or configuration files. - [Using TD Toolbelt To Output Query Results](https://docs.treasure.ai/int/using-the-cli-to-output-query-results.md): Learn how to use TD Toolbelt CLI to output query results directly to MongoDB, with examples for on-demand and scheduled jobs and URL format details. - [Webcas Export Integration](https://docs.treasure.ai/int/webcas-export-integration.md): Discover how Treasure AI integrates with WEBCAS to enable data-driven email campaigns using first-party data from web, mobile, and CRM sources. - [Webhook Output Streaming Integration](https://docs.treasure.ai/int/webhook-output-streaming-integration.md): Stream data from Treasure AI to third-party services using webhook output integration, with configurable authentication, endpoint, headers, and payload settings. - [VTEX Import Integrations](https://docs.treasure.ai/int/vtex-import-integrations.md): Import VTEX customer and order data into Treasure AI with incremental loading, custom filters, and efficient data ingestion for eCommerce platforms. - [WhatsApp Messenger App Export Via ADA](https://docs.treasure.ai/int/whatsapp-messenger-app-export-via-ada.md): WhatsApp messenger export via ADA API: Learn how to create workflows for sending messages, understand technical and business limitations, and prerequisites. - [Web Server and HTTP Put Endpoint Export Integration](https://docs.treasure.ai/int/web-server-and-http-put-endpoint-export-integration.md): Learn how to export Treasure AI query results directly to a web server or HTTP API using PUT requests, with step-by-step configuration and connection setup. - [WhatsApp Business Messaging Export Integration](https://docs.treasure.ai/int/whatsapp-business-messaging-export-integration.md): Send WhatsApp messages to customers using Treasure AI activations - [Yahoo Ads Conversion Export Integration](https://docs.treasure.ai/int/yahoo-ads-conversion-export-integration.md): Export conversion data from Treasure AI to the Yahoo Ads Conversion API (v1). This API was retired June 30, 2025 — new integrations should use v2. - [Yahoo Ads Conversion Export Integration v2](https://docs.treasure.ai/int/yahoo-ads-conversion-export-integration-v2.md): Export conversion data from Treasure AI to the Yahoo Ads Conversion API v2, which replaced v1 on June 30, 2025. Includes a v1-to-v2 migration table for configuration and columns. - [Zapier Import Integration](https://docs.treasure.ai/int/zapier-import-integration.md): Learn how to use Zapier webhooks for simple data import to Treasure AI, connecting Google Sheets and other apps to your analytics pipeline with minimal setup. - [Zendesk Export Integration CLI](https://docs.treasure.ai/int/zendesk-export-integration-cli.md): CLI guide for configuring Zendesk Sunshine export integration, covering authentication methods, connection setup, and data export targets using TD Toolbelt. - [Yahoo Audience Discovery Export Integration](https://docs.treasure.ai/int/yahoo-audience-discovery-export-integration.md): Streamline audience targeting with Yahoo! JAPAN Audience Discovery Export Integration, enabling precise ad delivery by uploading user identities and attributes. - [Yahoo Export Integration](https://docs.treasure.ai/int/yahoo-export-integration.md): Streamline audience targeting with Yahoo! integration, enabling customer segment exports, API uploads, and personalized ad campaigns using Treasure AI. - [Yahoo Japan Ads Export Integration](https://docs.treasure.ai/int/yahoo-japan-ads-export-integration.md): Learn how to export user segments from Treasure AI to Yahoo Japan Ads for targeted marketing campaigns using first-party data and custom audience lists. - [Yahoo Japan Ads V2 Export Integration](https://docs.treasure.ai/int/yahoo-japan-ads-v2-export-integration.md): Streamline audience targeting with Treasure Data's Yahoo Japan Ads V2 integration, enabling first-party data uploads and audience list creation for strategic marketing. - [Zuora Import Integration](https://docs.treasure.ai/int/zuora-import-integration.md): Import Zuora data sources like accounts and invoices into Treasure AI using base or fetch-related import modes with SOAP API integration. - [Yelp Conversions API Export Integration](https://docs.treasure.ai/int/yelp-conversions-api-export-integration.md): Export offline and server-side conversion event data from Treasure AI to Yelp Conversions API with automatic PII hashing and data normalization. - [Yotpo Import Integration](https://docs.treasure.ai/int/yotpo-import-integration.md): Learn how to import customer reviews from Yotpo into Treasure Data, including authentication steps, prerequisites, and integration requirements for eCommerce platforms. - [Glossary](https://docs.treasure.ai/products/glossary.md): Comprehensive glossary of technical terms and definitions covering key concepts in marketing, AI, data analysis, and software development. - [Youtube Analytics Import Integration](https://docs.treasure.ai/int/youtube-analytics-import-integration.md): Import YouTube Analytics data into Treasure AI's Customer Data Platform using OAuth or a custom OAuth app with step-by-step configuration instructions. - [Release Notes](https://docs.treasure.ai/release-notes.md): Stay up to date with the latest Treasure AI product updates, new features, and improvements. - [Zendesk Export Integration](https://docs.treasure.ai/int/zendesk-export-integration.md): Export Treasure AI events to Zendesk Sunshine CRM with this integration guide, covering prerequisites, data schema requirements, and export configuration steps. - [Browser Support for Treasure Console](https://docs.treasure.ai/requirements-and-limitations/browser-support-for-td-console.md): The browsers and browser versions supported by Treasure Console, including the level of support for each. - [Zendesk Import Integration](https://docs.treasure.ai/int/zendesk-import-integration.md): Learn how to import data from Zendesk to Treasure AI using the Treasure Console, with step-by-step authentication and connection setup instructions. - [Data Retention Policy](https://docs.treasure.ai/requirements-and-limitations/data-retention-policy.md): How long Treasure AI preserves query results, bulk import sessions, tables, records, accounts, job history, and workflow data. - [Product Overview](https://docs.treasure.ai/products.md): Overview of Treasure AI's Agentic Experience Platform — AI (AI Studio, Treasure Code, Voice), Activation (Engage Studio, Personalization Studio), Customer Data Platform, and Administration. - [Requirements and Supported Technology](https://docs.treasure.ai/requirements-and-limitations.md): Overview of Treasure AI requirements, supported browsers, upper limits, naming rules, and query engine versions. - [List of Upper Limits (MAX) on Treasure AI](https://docs.treasure.ai/requirements-and-limitations/list-of-upper-limits-max-on-treasure-data.md): Commonly asked about upper limits and maximum values for Treasure AI entities, including names, columns, jobs, and API limits. - [Naming Requirements and Restrictions for Treasure AI Entities](https://docs.treasure.ai/requirements-and-limitations/naming-requirements-and-restrictions-for-treasure-data-entities.md): Naming rules and character limits for Treasure AI entities, including tables, databases, columns, passwords, users, and workflows. - [Supported Hive and Presto Query Engine Versions](https://docs.treasure.ai/requirements-and-limitations/supported-hive-and-presto-query-engine-versions.md): The Hive and Presto (Trino) query engine versions supported by Treasure AI and how TD query engine release numbering works. - [Treasure Workflow Prerequisites and Limitations](https://docs.treasure.ai/requirements-and-limitations/treasure-workflow-prerequisites-and-limitations.md): Prerequisites, unsupported Digdag features, and service limits for Treasure AI Workflow. - [About Treasure Support](https://docs.treasure.ai/support/about-treasure-data-support.md): Learn about Treasure AI's support resources, how to contact our support team, troubleshoot issues, and check service status for a smooth customer experience. - [Contacting Treasure Support](https://docs.treasure.ai/support/contacting-treasure-data-support.md): Learn how to contact Treasure Support and understand the available communication channels for each support tier. - [Creating Har Files for Troubleshooting](https://docs.treasure.ai/support/creating-har-files-for-troubleshooting.md): Step-by-step guide to creating HTTP Archive (HAR) files in Chrome, Firefox, Safari, and Edge for troubleshooting Treasure Console interface and permission... - [Finding Your Treasure Account ID and Account Name](https://docs.treasure.ai/support/finding-your-treasure-data-account-id-and-account-name.md): Learn how to locate your Treasure AI account ID and account name in the Treasure Console, essential for identifying your specific data environment. - [Service Status Dashboard](https://docs.treasure.ai/support/service-status-dashboard.md): Real-time service status tracking for Treasure AI, including API performance, streaming levels, and incident reports with subscription options for... - [Tools](https://docs.treasure.ai/tools.md) - [About Securing Patient Data With HIPAA Support](https://docs.treasure.ai/trust/about-securing-patient-data-with-hipaa-support.md): Learn about Treasure AI's HIPAA support for securing patient data, including role-based access controls, encryption, and audit logs. - [About Treasure Protocols and Our Commitment to Security](https://docs.treasure.ai/trust/about-td-protocols-and-our-commitment-to-security.md): Learn about Treasure AI's security protocols, HTTPS defaults, and commitment to protecting customer data. - [Accessing Treasure AI's Trust and Security Center](https://docs.treasure.ai/trust/accessing-treasure-data-s-trust-and-security-center.md): Learn how to access Treasure AI's Trust and Security Center for security documentation, compliance reports, and more. - [GDPR Ready JavaScript SDK and Mobile SDKs 2018](https://docs.treasure.ai/trust/gdpr-ready-javascript-sdk-and-mobile-sdks-2018.md): Details on GDPR-ready updates to Treasure AI's JavaScript, Android, Unity, and iOS SDKs for data privacy compliance. - [GDPR Support in Treasure AI](https://docs.treasure.ai/trust/gdpr-support-in-treasure-data.md): Learn how Treasure AI helps you comply with GDPR through data retention policies, SDK controls, EU endpoints, and more. - [About Treasure AI Trust for CDP](https://docs.treasure.ai/trust.md): Learn about Treasure AI's Trust for CDP foundation, including data governance, security management, privacy management, and secure infrastructure. - [Scale and Trust](https://docs.treasure.ai/trust/scale-and-trust.md): Overview of Treasure AI's security, scalability, and permission features for the Customer Data Platform. - [Treasure AI JavaScript SDK Data Privacy](https://docs.treasure.ai/trust/treasure-data-javascript-sdk-data-privacy.md): Learn about Treasure AI's JavaScript SDK data privacy methods for GDPR compliance, including event blocking, signed mode, and anonymous mode. - [Treasure Code (tdx) - AI-Native CLI for Treasure AI](https://docs.treasure.ai/treasure-code.md): tdx is a modern command-line interface for Treasure AI that enables Marketing as Code. Manage segments, workflows, and journeys as version-controlled YAML with Claude Code integration. - [Treasure Data Tutorials](https://docs.treasure.ai/tutorials.md) - [Configuring A/B Testing](https://docs.treasure.ai/apis/audience-api/ab-testing.md): Learn how to configure A/B testing in customer journeys using the Audience API to compare up to eight variants and optimize marketing campaigns. - [Treasure AI Audience API Quickstart](https://docs.treasure.ai/apis/audience-api.md): Learn how to use Audience API to automate marketing tasks including segment creation, campaign activations, funnels, and predictive segments in Audience Studio. - [Retrieving Journey and Conversion Statistics](https://docs.treasure.ai/apis/audience-api/journey-conversion-statistics.md): Learn how to retrieve journey statistics and Sankey chart data using the Audience API, including goal completion rates, stage transitions, and activation conversions. - [Journey Orchestration using the REST API](https://docs.treasure.ai/apis/audience-api/journey-orchestration-rest-api.md): Learn how to manage customer journeys via REST API including creating decision points, pausing/resuming journeys, and managing activations inside journeys. - [Treasure AI Audience API Overview](https://docs.treasure.ai/apis/audience-api/overview.md): Learn about Audience API for programmatic access to CDP operations, including parent segments, segments, folders, activations, funnels, predictive segments, and journeys. - [Time-Based Filters - Attribute & Behavior](https://docs.treasure.ai/apis/audience-api/time-based-filters.md): Learn how to create attribute and behavior filters based on timestamps for segment creation in Audience Studio using the Audience API. - [Quickstart](https://docs.treasure.ai/apis/dwh-integration-api/quickstart.md) - [Configuring Custom Script IP Addresses](https://docs.treasure.ai/apis/endpoints/customscript-ipaddresses.md) - [Treasure AI Sites and API Endpoints](https://docs.treasure.ai/apis/endpoints/endpoints.md): Find the correct API baseURLs and console URLs for your Treasure AI region (US, Europe, Korea, Japan). Includes endpoints for Treasure API, Audience API, SDKs, Workflow, and more. - [IP Addresses for Import and Export Integrations](https://docs.treasure.ai/apis/endpoints/ip-addresses-integrations-result-workers.md): IP addresses to allowlist for Treasure AI import and export integrations across Tokyo, US, EU01, and AP02 regions. Includes S3 bucket policy configuration. - [LLM API Quickstart](https://docs.treasure.ai/apis/llm-api.md): Get started with Treasure AI's LLM API. Learn how to list actions, manage AI agents, and build intelligent customer experiences programmatically. - [Personalization API Quickstart](https://docs.treasure.ai/apis/p13n-api.md) - [Postback API Quickstart](https://docs.treasure.ai/apis/postback/quickstart.md) - [Postback API v2](https://docs.treasure.ai/apis/postback-v2.md): Overview of the Treasure AI Postback API v2 — the next-generation Postback ingestion endpoint served from records.in.treasuredata.com with header-based authentication. - [Postback API v2 Quickstart](https://docs.treasure.ai/apis/postback-v2/quickstart.md): Learn how to use the Treasure AI Postback API v2 to send event data using header-based authentication on the records.in.treasuredata.com endpoint. - [Treasure Data Bulk Import API](https://docs.treasure.ai/apis/td-api/bulk-import-api.md) - [Treasure Data Bulk Loads API](https://docs.treasure.ai/apis/td-api/bulk-loads-api.md) - [REST API for Identity Federation](https://docs.treasure.ai/apis/td-api/identity-federation.md): API reference for Treasure AI Identity Federation. Configure SSO settings, create users with SSO, and manage identity provider integrations. - [TD-API Quickstart](https://docs.treasure.ai/apis/td-api.md): Get started with the Treasure AI REST API. Learn how to list databases, issue queries, retrieve results, and manage connectors programmatically. - [Treasure Data System APIs](https://docs.treasure.ai/apis/td-api/system-api.md) - [Treasure Data User API](https://docs.treasure.ai/apis/td-api/user-api.md) - [Connect Claude Code to Treasure AI](https://docs.treasure.ai/getting-started/ai/claude-code.md): Connect Claude Code to Treasure AI using tdx claude (TD LLM Proxy billing) or your own Anthropic subscription, with TD Skills and documentation search included. - [Connect Cursor to Treasure AI](https://docs.treasure.ai/getting-started/ai/cursor.md): Connect Cursor to Treasure AI via MCP to query databases, build segments in YAML, and debug workflows from Cursor's agent chat, with TD Skills included. - [Getting Started for AI Agents](https://docs.treasure.ai/getting-started/ai.md): Learn how AI agents can access Treasure AI documentation and platform features using the Model Context Protocol (MCP) for real-time interaction and assistance. - [MCP Server (Docs)](https://docs.treasure.ai/getting-started/ai/mcp-server-docs.md): Reference for Treasure AI's MCP Server (Docs): the tools AI agents use to search documentation and API references in real time instead of training data. - [MCP Server (Platform)](https://docs.treasure.ai/getting-started/ai/mcp-server-platform.md): Reference for Treasure AI's MCP Server (Platform): the tdx_run and tdx_search tools that let AI agents query databases, manage segments, and run workflows. - [Connect OpenAI Codex to Treasure AI](https://docs.treasure.ai/getting-started/ai/openai-codex.md): Connect OpenAI Codex CLI to Treasure AI's MCP server to query databases, build segments, and debug workflows from natural-language prompts in your terminal. - [Connect Visual Studio Code (GitHub Copilot) to Treasure AI](https://docs.treasure.ai/getting-started/ai/vscode-github-copilot.md): Connect VS Code and GitHub Copilot to Treasure AI via MCP to query databases, build segments, and debug workflows from Copilot Chat's Agent mode. - [Getting Started for Data Engineers](https://docs.treasure.ai/getting-started/data.md): Ingest, unify, and manage customer data - [How to Read This Documentation](https://docs.treasure.ai/getting-started/how-to-read-this-documentation.md): Learn how to navigate, search, and use the Treasure AI documentation portal effectively. - [Getting Started for IT Admins](https://docs.treasure.ai/getting-started/it.md): Set up and secure your Treasure AI environment - [Getting Started for Marketers](https://docs.treasure.ai/getting-started/marketing.md): A step-by-step guide for marketers to build segments, design journeys, launch campaigns, and measure results with Treasure AI. - [Treasure AI Studio - Custom Instructions](https://docs.treasure.ai/products/ai-studio/custom-instructions.md) - [Treasure AI Studio](https://docs.treasure.ai/products/ai-studio.md): Treasure AI Studio is a multi-platform AI application for Web, Desktop, and Mobile — turn natural-language instructions into queries, segments, journeys, and reports. - [Treasure AI Studio - Introduction](https://docs.treasure.ai/products/ai-studio/overview.md): Treasure AI Studio is a multi-platform AI app that turns natural-language instructions into executed queries, CDP segments, journeys, and reports. - [Treasure AI Studio - Settings](https://docs.treasure.ai/products/ai-studio/settings.md): Configure language, theme, default model tier, and profile in Treasure AI Studio. Admins also manage organization-wide policies like credit limits. - [Treasure AI Studio - Troubleshooting](https://docs.treasure.ai/products/ai-studio/troubleshooting.md): Resolve common Treasure AI Studio issues, including sign-in problems and chats that hang or return no response. - [Account Activation](https://docs.treasure.ai/products/ai-voice/account-activation.md): Activate your Treasure AI Voice account by verifying your email address on first sign-in. - [Administrator Guide](https://docs.treasure.ai/products/ai-voice/administrator-guide.md): Configure SSO, manage devices, monitor fleet status, enforce compliance policies, and review audit logs for Treasure AI Voice. - [Treasure AI Voice Support](https://docs.treasure.ai/products/ai-voice/ai-voice-support.md): Learn how to access the Treasure AI Voice support portal from the Web Console. Only Admin-role users can submit support requests through the dedicated Voice support portal. - [Treasure AI CDP Integration](https://docs.treasure.ai/products/ai-voice/cdp-integration.md): Export Treasure AI Voice recordings, transcripts, AI summaries, and device inventory into your Treasure AI CDP for unified analytics, segmentation, and activation. - [Supported Hardware](https://docs.treasure.ai/products/ai-voice/hardware.md): Overview of supported PLAUD recording devices for Treasure AI Voice. - [Treasure AI Voice Overview](https://docs.treasure.ai/products/ai-voice.md): Enterprise-grade voice intelligence platform combining PLAUD AI hardware with Treasure AI's secure cloud infrastructure for sales enablement, meeting summarization, and compliance recording. - [PLAUD Note Pro](https://docs.treasure.ai/products/ai-voice/note-pro.md): Technical specifications, Smart Dual-Mode, and operating instructions for the PLAUD Note Pro recording device. - [PLAUD NotePin S](https://docs.treasure.ai/products/ai-voice/notepin-s.md): Technical specifications and operating instructions for the PLAUD NotePin S wearable recording device. - [Organization Activation](https://docs.treasure.ai/products/ai-voice/organization-activation.md): One-time setup for Enterprise Administrators to activate their Treasure AI Voice organization. - [Summary Templates | Treasure AI Voice](https://docs.treasure.ai/products/ai-voice/summary-templates.md): Create and manage Summary Templates in Treasure AI Voice — customize how your recordings are summarized using built-in presets or your own templates. - [Troubleshooting & FAQ](https://docs.treasure.ai/products/ai-voice/troubleshooting-and-faq.md): Resolve common issues and find answers to frequently asked questions about Treasure AI Voice devices, mobile app, security, and compliance. - [User Guide](https://docs.treasure.ai/products/ai-voice/user-guide.md): Get started with Treasure AI Voice — download the mobile app, pair your PLAUD device, record meetings, and use AI-powered transcription and summarization. - [Granting Insights Models Access](https://docs.treasure.ai/products/control-panel/granting-insights-models-access.md): Step-by-step guide to granting user access to Insights Models in Treasure Console, including navigation and permission management instructions. - [Control Panel](https://docs.treasure.ai/products/control-panel.md): Centralized administrator control for Treasure AI CDP, managing security, user access, account settings, authentication, and system configuration in one interface. - [Resetting the Account or User Password](https://docs.treasure.ai/products/control-panel/resetting-the-account-or-user-password.md): Learn how account owners and administrators can initiate a password reset request for users in the Treasure Console control panel, ensuring secure account access. - [Specifying the Account Wide Query Engine](https://docs.treasure.ai/products/control-panel/specifying-the-account-wide-query-engine.md): Configure the default query engine for your Treasure AI account, choosing between Presto and Hive for all new queries through the Control Panel. - [Specifying Your Query Engine](https://docs.treasure.ai/products/control-panel/specifying-your-query-engine.md): Learn how to select between Presto and Hive query engines in Treasure AI, understanding their strengths for different data processing and analytics workloads. - [Viewing Database Permissions](https://docs.treasure.ai/products/control-panel/viewing-database-permissions.md): Step-by-step guide to viewing database permissions for users in the Treasure Console Control Panel, including access requirements and user-level permission review process. - [Customer Data Platform](https://docs.treasure.ai/products/customer-data-platform.md): Overview of Treasure AI Customer Data Platform - available in Complete and Composable modes. - [Changing the Account Owner Information](https://docs.treasure.ai/products/my-settings/changing-the-account-owner-information.md): Learn how to update your account owner profile in Treasure Console, including name, email, and contact details, with specific steps for SSO users. - [Changing Your Email Address](https://docs.treasure.ai/products/my-settings/changing-your-email-address.md): Learn how to change your email address in Treasure Console, including step-by-step instructions for updating your profile and verifying your new email address. - [Changing Your Password](https://docs.treasure.ai/products/my-settings/changing-your-password.md): Learn how to change your password in Treasure Console by accessing My Settings, following password policy guidelines, and updating your account credentials. - [Getting Your API Keys](https://docs.treasure.ai/products/my-settings/getting-your-api-keys.md): Learn how to locate and understand your Treasure AI API keys, including Master and Write-only keys, for secure REST API authentication and access. - [About My Settings](https://docs.treasure.ai/products/my-settings.md): Manage your user profile, generate API keys, view accessible resources, and log out from the My Settings pane in your individual account dashboard. - [Logging in With Google SSO](https://docs.treasure.ai/products/my-settings/logging-in-with-google-sso.md): Learn how to log in to Treasure Console using Google SSO, set up single sign-on, and understand the process of switching authentication methods securely. - [Managing Your User Profile](https://docs.treasure.ai/products/my-settings/managing-your-user-profile.md): Learn how to manage your Treasure AI user profile, including accessing API keys, updating email and password, and configuring Google SSO login options. - [Using Google Aliases](https://docs.treasure.ai/products/my-settings/using-google-aliases.md): Learn how to use Google aliases to log into Treasure Console, manage multiple email identifiers, and access accounts with different permissions. - [Treasure AI Labs](https://docs.treasure.ai/products/treasure-ai-labs.md): Treasure AI Labs is the R&D arm of Treasure AI — where experimental products reach early adopters before graduating to Treasure AI Studio. - [Activation](https://docs.treasure.ai/products/marketing-cloud.md): Treasure AI Activation — AI-powered engagement and personalization built on top of the Customer Data Platform. - [2023 Release Note](https://docs.treasure.ai/release-notes/2023/2023.md) - [April 2023 Release Note](https://docs.treasure.ai/release-notes/2023/april-2023-release-note.md): Introduces multiple IdP support, Yahoo! Ads API updates, and table scan performance improvements. - [August 2023 Release Note](https://docs.treasure.ai/release-notes/2023/august-2023-release-note.md): Launches Activations Overview, Segment Insights Dashboard, RFM Analysis AutoML, and Braze Currents integration. - [December 2023 Release Note](https://docs.treasure.ai/release-notes/2023/december-2023-release-note.md): Introduces Behavior Activations, Hive 4, enhanced Journey capacity, and Google Ads conversion improvements. - [February 2023 Release Note](https://docs.treasure.ai/release-notes/2023/february-2023-release-note.md): Launches AutoML, Journey pause/resume, S3 assume role authentication, and Treasure Insights Data Model UI. - [January 2023 Release Note](https://docs.treasure.ai/release-notes/2023/january-2023-release-note.md): Introduces Activation Templates, Journey Builder improvements, and new export integrations. - [July 2023 Release Note](https://docs.treasure.ai/release-notes/2023/july-2023-release-note.md): Introduces Profile API token granular control, Google Analytics Data API, and Salesforce Pardot integrations. - [June 2023 Release Note](https://docs.treasure.ai/release-notes/2023/june-2023-release-note.md): Adds JS SDK 4.0, new timestamp operators, Klaviyo import, and enhanced Profile View permissions. - [March 2023 Release Note](https://docs.treasure.ai/release-notes/2023/march-2023-release-note.md): Adds Google Enhanced Conversion improvements, SFMC import/export enhancements, and Trust & Security Center. - [May 2023 Release Note](https://docs.treasure.ai/release-notes/2023/may-2023-release-note.md): Launches Journey Jump feature, Amazon Marketing Cloud integrations, and Pinterest Audiences export. - [November 2023 Release Note](https://docs.treasure.ai/release-notes/2023/november-2023-release-note.md): Launches Journey Dashboard with campaign metrics, enhanced Control Panel utilization, and activation improvements. - [October 2023 Release Note](https://docs.treasure.ai/release-notes/2023/october-2023-release-note.md): Introduces AutoML Clustering solution, Segment Insights PII hiding, and improved TikTok/Yahoo! integrations. - [September 2023 Release Note](https://docs.treasure.ai/release-notes/2023/september-2023-release-note.md): Launches Control Panel in Console, enhanced Workflow landing page, and nested Decision Point layers in Journey. - [2024 Release Note](https://docs.treasure.ai/release-notes/2024/2024.md) - [April 2024 Release Note](https://docs.treasure.ai/release-notes/2024/april-2024-release-note.md): Delegated Admin, real-time journey orchestration, pCLTV AI solution, and account hierarchy beta. - [August 2024 Release Note](https://docs.treasure.ai/release-notes/2024/august-2024-release-note.md): Real-time attributes launch, TikTok Events integration, and Amazon Ads DSP Reports support. - [December 2024 Release Note](https://docs.treasure.ai/release-notes/2024/december-2024-release-note.md): Enhanced export integrations for Amazon Marketing Cloud, BigQuery V2, PostgreSQL, and Tableau. - [February 2024 Release Note](https://docs.treasure.ai/release-notes/2024/february-2024-release-note.md): New documentation site launch, Databricks Export integration, and Google API migrations to REST. - [January 2024 Release Note](https://docs.treasure.ai/release-notes/2024/january-2024-release-note.md): Google Ads consent updates, S3 Parquet improvements, and DV360 EU compliance enhancements. - [July 2024 Release Note](https://docs.treasure.ai/release-notes/2024/july-2024-release-note.md): Insider GMP integration, SendGrid import, Webhook streaming, and Google Enhanced Conversion updates. - [June 2024 Release Note](https://docs.treasure.ai/release-notes/2024/june-2024-release-note.md): Journey versioning, market-level access control, Amazon Ads integration, and Google Customer Match. - [March 2024 Release Note](https://docs.treasure.ai/release-notes/2024/march-2024-release-note.md): Trino 423 beta, AI for Marketers RFM, and deleted data retention reduced to 7 days. - [May 2024 Release Note](https://docs.treasure.ai/release-notes/2024/may-2024-release-note.md): Activation Actions beta, Braze Cohort integration, Hive 4 and Trino 423 GA releases. - [November 2024 Release Note](https://docs.treasure.ai/release-notes/2024/november-2024-release-note.md): Real-time journey jumps and exit criteria, Pinterest Conversion, Snapchat CAPI, Segment Insights. - [October 2024 Release Note](https://docs.treasure.ai/release-notes/2024/october-2024-release-note.md): Traffic Control, Marketing Copilot, real-time decision points, and behavior activation templates. - [September 2024 Release Note](https://docs.treasure.ai/release-notes/2024/september-2024-release-note.md): New Control Panel, Live Connect Zero-Copy with Snowflake and Databricks, SFTP v2 integration. - [2025](https://docs.treasure.ai/release-notes/2025/2025.md) - [August 2025 Release Note](https://docs.treasure.ai/release-notes/2025/august-2025-release-note.md): Real-time event transformation, Claude Sonnet 4 in US, browser-based personalization, and new Trade Desk connector. - [December 2025 Release Note](https://docs.treasure.ai/release-notes/2025/december-2025-release-note.md): Journey Simulation, email click tracking, incremental activation, logical views, and TD-managed unsubscribe. - [February 2025 Release Note](https://docs.treasure.ai/release-notes/2025/february-2025-release-note.md): Personalization 2.0 UI, policy-based journey permissions, activation templates, and expanded workflow limits. - [January 2025 Release Note](https://docs.treasure.ai/release-notes/2025/january-2025-release-note.md): Real-time trigger activation, NBP AI Signals, LinkedIn Conversions API, Shopify V2 connectors, and Trino migration. - [July 2025 Release Notes](https://docs.treasure.ai/release-notes/2025/july-2025-release-notes.md): Unified ID 2.0 integration, Iterable connector enhancements, JS SDK auto-UTM tracking, and CJO A/B testing controls. - [June 2025 Release Notes](https://docs.treasure.ai/release-notes/2025/june-2025-release-notes.md): Smart Schedule time ranges, text knowledge bases, Custom Script improvements, BigQuery V2, and LiveConnect Easy Sync. - [May 2025 Release Notes](https://docs.treasure.ai/release-notes/2025/may-2025-release-notes.md): Console redesign, Real-time Personalization GA, Jobs & Parent Segment in Console Next, and Google Data Manager GA. - [November 2025 Release Note](https://docs.treasure.ai/release-notes/2025/november-2025-release-note.md): LINE Rich Menu, Marketo static list auto-creation, Databricks OAuth support, and new documentation portal launch. - [October 2025 Release Note](https://docs.treasure.ai/release-notes/2025/october-2025-release-note.md): API key IP allowlist, AI-powered API docs search, Engagement, Personalization, and Creative AI Suites now GA. - [September 2025 Release Note](https://docs.treasure.ai/release-notes/2025/september-2025-release-note.md): Audience Agent with segment analytics, image uploads in AI Agent Foundry, output history, and real-time A/B testing. - [April 2026 Release Note](https://docs.treasure.ai/release-notes/2026/april-2026-release-note.md): Treasure AI Voice launch, Treasure AI Studio general availability, Composable Audience Studio for Snowflake and Databricks, LINE messaging channel in Engage Studio, UTM parameter editing in Engage Studio, Salesforce External Client App authentication, Yahoo! Ads Conversion API V2, CSV Parser string literal support, Amazon Ads Conversion API export connector, and weak TLS 1.2 cipher deprecation. - [August 2026 Release Note](https://docs.treasure.ai/release-notes/2026/august-2026-release-note.md): LINE OA Always-on Campaigns now available in Engage Studio. Google Enhanced Conversions Export connector uses Google Data Manager API. Azure Blob Storage Import connector now supports SAS authentication. Remember Me feature removed from login page for enhanced security. - [February 2026 Release Note](https://docs.treasure.ai/release-notes/2026/february-2026-release-note.md): Always-on campaigns, mobile push in Engage Studio, Treasure Code GA, and Analysis Agent for Plazma DB. - [January 2026 Release Note](https://docs.treasure.ai/release-notes/2026/january-2026-release-note.md): Marketing Super Agent now GA, chat data retention configuration, and Google Ads API updates. - [July 2026 Release Note](https://docs.treasure.ai/release-notes/2026/july-2026-release-note.md): Custom Skill Sharing and Custom Instructions for AI Studio, Korea (ap02) region availability, creating a connection from a chat, Work Folders and sidebar refresh, a default work folder for new chats, HTML Email Hosting for Engage Studio, Iterable Export Connector truncate mode, Batch Export Connector for profile updates and audience export, Yahoo! JAPAN Ads Custom Audience migration support for LINE Ads, BigQuery Output Connector Workload Identity Federation (WIF) authentication support, td_ip and td_global_id enrichment for the Personalization API, Lookup Catalog for Real-Time Personalization, the GitHub connector for AI Studio, upcoming end of life of the Nova Canvas image generation model in AI Agent Foundry, and removal of the "Remember Me" sign-in option. - [June 2026 Release Note](https://docs.treasure.ai/release-notes/2026/june-2026-release-note.md): Summary Templates for Treasure AI Voice, Claude Sonnet 4.6 support for AI Agent Foundry, Web Search for AI Studio agents, Plugin Marketplace for AI Studio, Databricks Connector for AI Studio, Snowflake Connector for AI Studio, Credit Usage and Credit Policy for AI Studio, Image Generation for AI Studio, Per-User Access Control for AI Studio, SMS in Engage Studio, In-Browser Message Editor and Popup Integration for Engage Studio, Engage Studio — Web Message Previewer Chrome Extension, LINE Flex Message support in Engage Studio, iOS Push delivery and dismiss event tracking, Google Campaign Manager 360 Enhanced Conversions Export Connector, Yelp Ads Conversion API Export Connector, Selligent (Marigold Engage) Export Connector, Batch Import Connector for Batch campaign results, Workflow Pool, Total Counter Attribute improvements, On-Demand Journey Execution, Job visibility improvement for Column-Level Access Control users, Personalization Studio for real-time web content personalization, Premium Audit Log Events for Composable Audience Studio, Policy-Based Permissions for Composable Audience Studio. - [March 2026 Release Note](https://docs.treasure.ai/release-notes/2026/march-2026-release-note.md): Snowflake and Databricks workflow operators, Advanced Webhook streaming connector, Plazma Query agent tool, Oracle Eloqua updates, and more. - [May 2026 Release Note](https://docs.treasure.ai/release-notes/2026/may-2026-release-note.md): Engage Studio non-PII engagement event logging, Engage Studio API status page components, Shopify Webhook streaming ingress connector, GCS Export Workload Identity Federation, Salesforce Marketing Cloud row-based retention, Real-Time configuration launch stage progress indicators, AI skills for Real-Time debugging, Hive DELETE support, no re-entry option for Real-Time journeys, Composable Audience Studio for BigQuery, API Key Expiration Policy, Workflow Trigger. - [Release Notes Archive](https://docs.treasure.ai/release-notes/archive.md) - [Accessing the TD Toolbelt Man Pages](https://docs.treasure.ai/tools/cli-and-sdks/accessing-the-td-toolbelt-man-pages.md) - [API References and Tool References](https://docs.treasure.ai/tools/cli-and-sdks/api-references-and-tool-references.md) - [TD Toolbelt Reference](https://docs.treasure.ai/tools/cli-and-sdks/api.md): Command line reference for Treasure AI TD Toolbelt CLI commands - [Configuring Authentication for TD Using the TD Toolbelt](https://docs.treasure.ai/tools/cli-and-sdks/configuring-authentication-for-td-using-the-td-toolbelt.md) - [Configuring Your TD Endpoint Using TD Toolbelt](https://docs.treasure.ai/tools/cli-and-sdks/configuring-your-td-endpoint-using-td-toolbelt.md) - [Data Science and SQL Tools](https://docs.treasure.ai/tools/cli-and-sdks/data-science-and-sql-tools.md) - [Install TD Toolbelt Workflow Module](https://docs.treasure.ai/tools/cli-and-sdks/install-td-toolbelt-workflow-module.md) - [Installing Python Pandas Matplotlib Jupyter Notebook Pytd](https://docs.treasure.ai/tools/cli-and-sdks/installing-python-pandas-matplotlib-jupyter-notebook-pytd.md) - [Integrating With Data Science and SQL Tools](https://docs.treasure.ai/tools/cli-and-sdks/integrating-with-data-science-and-sql-tools.md) - [Java SDK Data Import](https://docs.treasure.ai/tools/cli-and-sdks/java-sdk-import.md) - [JDBC Driver for Trino](https://docs.treasure.ai/tools/cli-and-sdks/jdbc-driver-for-presto.md): Connect to Treasure AI's Trino using the JDBC Driver with setup instructions and code examples. - [Listing and Reviewing Tags Using the REST API](https://docs.treasure.ai/tools/cli-and-sdks/listing-and-reviewing-tags-using-the-rest-api.md) - [Managing Activations Inside a Journey Using the REST API](https://docs.treasure.ai/tools/cli-and-sdks/managing-activations-inside-a-journey-using-the-rest-api.md) - [Obtaining TD Toolbelt and Treasure Agent for Linux](https://docs.treasure.ai/tools/cli-and-sdks/obtaining-td-toolbelt-and-treasure-agent-for-linux.md) - [ODBC Driver for Presto](https://docs.treasure.ai/tools/cli-and-sdks/odbc-driver-for-presto.md): Connect to Treasure AI using the Presto ODBC driver for Windows - [Pandas and Jupyter Configuration for Treasure Data](https://docs.treasure.ai/tools/cli-and-sdks/pandas-and-jupyter-configuration-for-treasure-data.md) - [Use TD Toolbelt behind a proxy](https://docs.treasure.ai/tools/cli-and-sdks/proxy-access.md) - [Querying and Importing Data to Treasure Data From the Command Line](https://docs.treasure.ai/tools/cli-and-sdks/querying-and-importing-data-to-treasure-data-from-the-command-line.md) - [TD Toolbelt Quickstart](https://docs.treasure.ai/tools/cli-and-sdks/quickstart.md): Install and use the TD Toolbelt command line interface for Treasure AI - [R Language Driver Install](https://docs.treasure.ai/tools/cli-and-sdks/r-language-driver-install.md) - [Razorsql Install and Use With TD](https://docs.treasure.ai/tools/cli-and-sdks/razorsql-install-and-use-with-td.md) - [Ruby SDK Data Import](https://docs.treasure.ai/tools/cli-and-sdks/ruby-sdk-import.md) - [API Key and API Server Search Order Reference](https://docs.treasure.ai/tools/cli-and-sdks/search-order.md) - [Setting the TD Import Time Format for a Windows Batch File](https://docs.treasure.ai/tools/cli-and-sdks/setting-the-td-import-time-format-for-a-windows-batch-file.md) - [SQL Workbench J](https://docs.treasure.ai/tools/cli-and-sdks/sql-workbench-j.md) - [Squirrel SQL Install and Use With TD](https://docs.treasure.ai/tools/cli-and-sdks/squirrel-sql-install-and-use-with-td.md) - [Using Database Drivers to Import Your Data](https://docs.treasure.ai/tools/cli-and-sdks/using-database-drivers-to-import-your-data.md) - [Using TD Toolbelt to Import Data](https://docs.treasure.ai/tools/cli-and-sdks/using-td-toolbelt-to-import-data.md) - [pytd Quickstart](https://docs.treasure.ai/tools/pytd.md) - [How to replace pandas-td](https://docs.treasure.ai/tools/pytd/porting-pandas.md) - [pytd vs td-client-python vs pandas-td](https://docs.treasure.ai/tools/pytd/pytd-vs-td-client-python-vs-pandas-td.md) - [Working with DB-API](https://docs.treasure.ai/tools/pytd/working-with-db-api.md) - [Default Keyboard Shortcuts](https://docs.treasure.ai/tools/td-console/default-keyboard-shortcuts.md) - [Log in to Treasure Console](https://docs.treasure.ai/tools/td-console/log-in-to-td-console.md) - [Removal of Treasure Console Support for Internet Explorer 11](https://docs.treasure.ai/tools/td-console/removal-of-td-console-support-for-internet-explorer-11.md) - [tdx agent - LLM Agent Management | Treasure AI](https://docs.treasure.ai/treasure-code/commands/agent.md): Manage LLM agents with YAML/Markdown files. Pull, push, clone, and test AI agents in Treasure AI. - [tdx api - Raw HTTP Requests | Treasure AI](https://docs.treasure.ai/treasure-code/commands/api.md): Make raw HTTP requests to Treasure AI APIs with tdx api. Useful for exploring endpoints not yet wrapped by tdx commands. - [tdx auth - Authentication Management | Treasure AI](https://docs.treasure.ai/treasure-code/commands/auth.md): Manage authentication for Treasure AI. Set up API key or OAuth login, check status, and clear credentials. - [tdx cas - Composable Audience Studio | Treasure AI](https://docs.treasure.ai/treasure-code/commands/cas.md): Manage Composable Audience Studio (CAS) resources. Zero-copy CDP audiences on Snowflake, Databricks, and BigQuery. - [tdx chat - AI Chat Interface | Treasure AI](https://docs.treasure.ai/treasure-code/commands/chat.md): Chat with LLM agents via tdx CLI. Interactive AI conversations for data analysis and marketing automation. - [tdx claude - Claude Code Integration | Treasure AI](https://docs.treasure.ai/treasure-code/commands/claude.md): Launch Claude Code with TD LLM Proxy. Use AI Suite credits for AI-powered development with TD Skills. - [tdx connection - Connection Management | Treasure AI](https://docs.treasure.ai/treasure-code/commands/connection.md): Manage result output connections for job exports and segment activations. List connections and view schemas. - [tdx database - Database Management | Treasure AI](https://docs.treasure.ai/treasure-code/commands/database.md): List and filter Treasure AI databases. View database information with pattern matching and filtering. - [tdx delivery - Email Delivery Management | Treasure AI](https://docs.treasure.ai/treasure-code/commands/delivery.md): Manage email delivery resources including senders in Treasure AI Engage workspaces. - [tdx engage - Email Campaign Management | Treasure AI](https://docs.treasure.ai/treasure-code/commands/engage.md): Manage Engage campaigns, email templates, and workspaces. Create, launch, and monitor marketing campaigns. - [Commands Reference - tdx | Treasure AI](https://docs.treasure.ai/treasure-code/commands.md): Complete tdx CLI command reference. Data, CDP, AI, and workflow commands for Treasure AI. - [tdx job - Query Job Management | Treasure AI](https://docs.treasure.ai/treasure-code/commands/job.md): Manage and execute Treasure AI query jobs. List jobs, view results, and manage scheduled queries. - [tdx journey - Journey Orchestration | Treasure AI](https://docs.treasure.ai/treasure-code/commands/journey.md): Manage CDP Journey Orchestration with YAML files. Create and automate customer journeys with tdx. - [tdx llm - LLM Project Management | Treasure AI](https://docs.treasure.ai/treasure-code/commands/llm.md): Manage LLM projects and chat sessions. List projects, agents, and view chat history. - [tdx mcp - MCP Server for AI Tools | Treasure AI](https://docs.treasure.ai/treasure-code/commands/mcp.md): Run tdx as an MCP server for AI coding assistants like Cursor, Windsurf, and Claude Desktop. - [tdx policy - Access Control Policies | Treasure AI](https://docs.treasure.ai/treasure-code/commands/policy.md): Inspect access control policies and permissions in your Treasure AI account with tdx policy commands. - [tdx parent-segment - Audience Management | Treasure AI](https://docs.treasure.ai/treasure-code/commands/parent-segment.md): Manage CDP parent segments with YAML configuration. Pull, push, validate, and preview audience definitions. - [tdx query - SQL Query Execution | Treasure AI](https://docs.treasure.ai/treasure-code/commands/query.md): Execute SQL queries using Trino. Run queries from CLI, files, or stdin with multiple output formats. - [tdx segment - CDP Segment Management | Treasure AI](https://docs.treasure.ai/treasure-code/commands/segment.md): Manage CDP segments with YAML files. Pull, push, validate segments and configure activations. - [tdx table - Table Management | Treasure AI](https://docs.treasure.ai/treasure-code/commands/table.md): List, describe, and show Treasure AI table contents. View schemas and preview data. - [tdx upgrade - CLI Upgrade | Treasure AI](https://docs.treasure.ai/treasure-code/commands/upgrade.md): Upgrade tdx CLI to the latest or a specific version. - [tdx user - User Management | Treasure AI](https://docs.treasure.ai/treasure-code/commands/user.md): View and manage users in your Treasure AI account. List users and view account information. - [tdx workflow - Workflow Management | Treasure AI](https://docs.treasure.ai/treasure-code/commands/workflow.md): Manage Treasure AI workflows with Digdag. Pull, push, run workflows and monitor sessions. - [API Command Safety | Treasure AI](https://docs.treasure.ai/treasure-code/guide/api-command-safety.md): Learn why tdx api is disabled by default and how to safely enable it for exploring Treasure AI endpoints. - [Quick Start Guide - tdx | Treasure AI](https://docs.treasure.ai/treasure-code/guide.md): Get started with tdx, a modern AI-native CLI for Treasure AI. Install, authenticate, and run your first queries in minutes. - [Installation Guide - tdx | Treasure AI](https://docs.treasure.ai/treasure-code/guide/installation.md): Install tdx CLI on macOS, Windows, and Linux. Supports npm, Homebrew, nvm, and WSL2 installation methods. - [Marketing as Code - tdx | Treasure AI](https://docs.treasure.ai/treasure-code/guide/marketing-as-code.md): Transform marketing operations into version-controlled YAML. Manage segments, journeys, and workflows as code with AI assistance. - [Output Formats - tdx | Treasure AI](https://docs.treasure.ai/treasure-code/guide/output-formats.md): Configure tdx output formats including table, JSON, JSONL, and TSV for query results and command outputs. - [Profile Management - tdx | Treasure AI](https://docs.treasure.ai/treasure-code/guide/profile-management.md): Manage multiple Treasure AI accounts with tdx profiles. Configure authentication, regions, and environment-specific settings. - [HTTP Proxy Configuration - tdx | Treasure AI](https://docs.treasure.ai/treasure-code/guide/proxy.md): Configure tdx to work with corporate HTTP proxies and SSL inspection. Set up proxy via config file or environment variables. - [Release Notes - tdx | Treasure AI](https://docs.treasure.ai/treasure-code/guide/releases.md): tdx release notes and changelog. View new features, bug fixes, and breaking changes for each version. - [Feature Roadmap - tdx | Treasure AI](https://docs.treasure.ai/treasure-code/guide/roadmap.md): tdx feature coverage and development roadmap. See current capabilities and planned features for each command. - [TD Skills for Claude Code - tdx | Treasure AI](https://docs.treasure.ai/treasure-code/guide/td-skills.md): Pre-built Claude Code plugins for Treasure AI. SQL skills, workflow skills, and CDP skills for AI-assisted development. - [Web Search Tool Setup Guide](https://docs.treasure.ai/treasure-code/guide/web-search-tool.md): Learn how to add web search capabilities to AI Agent Foundry agents using the Web Search Tool with TDX CLI. - [Claude Model Reference](https://docs.treasure.ai/treasure-code/reference/claude-models.md): Claude model identifiers for TD LLM Proxy. Model versions, aliases, and API compatibility reference. - [Trino Tutorial](https://docs.treasure.ai/tutorials/trino.md) - [AI Studio](https://docs.treasure.ai/ja/ai-studio.md): Treasure AI Studio - AIを活用したエクスペリエンスを構築・デプロイするためのコードおよびボイスインターフェース。 - [AIが生成するスライドのデザインを固定する方法 — slide-style.md のすすめ](https://docs.treasure.ai/ja/blog/ai-slide-design-consistency.md): Treasure AI Studio でスライド生成のデザインを統一する実践的な方法。slide-style.md を使った設定ファイル管理で、会話をまたいでも一貫したアウトプットを実現します。 - [Treasure AI のエンジニアリングカルチャーは比類なき強さ](https://docs.treasure.ai/ja/blog/treasure-ai-interview-carlo.md): Treasure AI のスタッフソフトウェアエンジニア Carlo Luis Espinosa が、同社の最新の AI への取り組みが、会社と自身のキャリアの双方にこれまでにない機会をもたらしている様子を語ります。 - [エンタープライズ向けに ML アルゴリズムをスケールさせる](https://docs.treasure.ai/ja/blog/treasure-ai-interview-david.md): Treasure AI のスタッフ機械学習／ソフトウェアエンジニア David Landup が、ML とソフトウェアの帽子を被り替える楽しさや、Treasure AI の「広大なエコシステム」をなぜこれほど楽しいと感じるのかを語ります。 - [Treasure AI でインポスター症候群を乗り越える](https://docs.treasure.ai/ja/blog/treasure-ai-interview-tyler.md): Treasure AI で Data Clean Room プロダクトに取り組むソフトウェアエンジニア Tyler Welsh が、Treasure AI がチームの学びと成長をどう支援しているか、そしてサービスの品質とパフォーマンスにどう投資しているかを語ります。 - [Treasure AI Night 開催レポート — AIネイティブプロダクトの裏側](https://docs.treasure.ai/ja/blog/treasure-ai-night-report.md): Treasure AI Night の開催レポート。Treasure AIへのリブランディング、Treasure Workを支えるThree Layer Harness、エンタープライズAI基盤Treasure AI StudioとAI OS（AiOS）をご紹介します。 - [Treasure AI Studioで実現する、セグメント分析からカスタマージャーニー作成までのワンストップ自動化](https://docs.treasure.ai/ja/blog/treasure-ai-studio-audience-to-journey.md): Audience Agentから進化したTreasure AI Studioで、プロジェクト機能を活用したコンテキスト共有と、AIエージェントによるカスタマージャーニー自動作成の実践例をご紹介します。 - [Treasure AI Studio Project機能セットアップガイド - 一貫したAI動作のためのコンテクスト維持](https://docs.treasure.ai/ja/blog/treasure-ai-studio-project-setup.md): Treasure AI StudioのProject機能を使って、チャットセッション間で共通のコンテクストを維持し、一貫したAIエージェントの動作を実現し、構造化されたデータスキーマとビジネスルールによって出力の揺らぎを防ぐ方法を学びます。 - [スタートガイド](https://docs.treasure.ai/ja/getting-started.md): Treasure AIを始めるためのパスを選択してください - [About Database Based Integrations](https://docs.treasure.ai/ja/int/about-database-based-integrations.md): データベース統合におけるincremental loadingの仕組み、インデックス作成、レコード取得方法、および最終レコードの追跡について詳細に解説します。 - [About Incremental Loading for Data Exntensions](https://docs.treasure.ai/ja/int/about-incremental-loading-for-data-extensions.md): Treasure AIのデータ拡張機能におけるインクリメンタルローディングの仕組みと設定方法を詳しく解説します。日付フィールドに基づくデータ取得のオプションを紹介。 - [About Incremental Loading](https://docs.treasure.ai/ja/int/about-incremental-loading.md): Treasure AI CDPのインクリメンタルローディング機能について、データソースの効率的な取り込みと最新性を維持する方法を解説します。大容量データの段階的なインポートと使用量の最適化に役立つ技術です。 - [About Regex and Path Regex](https://docs.treasure.ai/ja/int/about-regex-and-path-regex.md): Treasure AIでのregex（正規表現）の基本的な概念と使用方法について、文字列パターンマッチングの仕組みを解説します。 - [Achieving Time Partitioning In S3 Of Data Exported Using Bulk Export](https://docs.treasure.ai/ja/int/achieving-time-partitioning-in-s3-of-data-exported-using-bulk-export.md): Bulk Exportでエクスポートされたデータを、S3上で時間単位のパーティショニングを実現する方法と、推奨されるアプローチについて説明します。 - [Adjust Import Integration](https://docs.treasure.ai/ja/int/adjust-import-integration.md): Adjustからのモバイルアプリイベントデータを、Treasure AIに簡単にインポートする方法を説明します。postbackの設定手順と、アプリ解析データの取り込み方法を解説。 - [Adobe Analytics Import Integration Using CLI](https://docs.treasure.ai/ja/int/adobe-analytics-import-integration-using-cli.md): Adobe AnalyticsデータをCLIを使用してTreasure AIにインポートする手順と設定方法を詳しく解説します。 - [Adobe Analytics Import Integration V2 with CLI](https://docs.treasure.ai/ja/int/adobe-analytics-import-integration-v2-advance-configuration.md): Adobe AnalyticsデータをCLIでTreasure AIにインポートする詳細な設定手順と、S3経由でのデータ取り込みプロセスを解説します。 - [Adobe Audience Manager Export Integration](https://docs.treasure.ai/ja/int/adobe-audience-manager-export-integration.md): Adobe Audience Managerへのユーザーセグメント公開方法と、Treasure AIとの連携手順を解説します。 - [Adobe Launch Import Integration](https://docs.treasure.ai/ja/int/adobe-launch-import-integration.md): Adobe LaunchでのTreasure AI Tracking Pixel extensionの設定方法を解説。Adobe Experience Cloudと連携し、顧客データを効率的に収集・管理する手順を紹介します。 - [Adroll Import Integration](https://docs.treasure.ai/ja/int/adroll-import-integration.md): AdRollのキャンペーンデータをTreasure AIに統合する方法を解説。SQLを使用してパフォーマンスとコンバージョンデータを簡単にインポートする手順を説明します。 - [Adobe Analytics Import Integration V2](https://docs.treasure.ai/ja/int/adobe-analytics-import-integration-v2.md): Adobe AnalyticsのデータフィードをTreasure AIに直接インポートする、柔軟で効率的なV2コネクタの設定方法を解説します。 - [Adobe Analytics Import Integration](https://docs.treasure.ai/ja/int/adobe-analytics-import-integration.md): Adobe AnalyticsのSFTPサーバーからTreasure AIへのデータインポート方法を解説する技術ドキュメントページです。 - [Amazon Ads Conversion Export Integration](https://docs.treasure.ai/ja/int/amazon-ads-conversion-export-integration.md): Amazon Ads Conversion APIを使用して、Treasure AIからAmazon Adsにコンバージョンイベントを送信し、強化されたアトリビューションと測定を実現します。 - [Adobe Target Export Integration](https://docs.treasure.ai/ja/int/adobe-target-export-integration.md): Adobe TargetコネクタでTreasure AIから顧客プロファイルデータをAdobe Targetにエクスポートする方法を説明します。認証設定、データ連携の手順、制限事項を解説します。 - [Amazon Kinesis Import Integration](https://docs.treasure.ai/ja/int/amazon-kinesis-import-integration.md): Amazon KinesisからTreasure AIへのデータ取り込みを、AWS Lambdaを使用して実現する手順を詳しく解説します。 - [Amazon Elastic MapReduce](https://docs.treasure.ai/ja/int/amazon-elastic-mapreduce.md): Amazon Elastic MapReduceでTreasure AIのtd-sparkドライバを使用し、Sparkからデータにアクセスする方法を解説する技術ドキュメントページです。 - [Adroll Export Integration](https://docs.treasure.ai/ja/int/adroll-export-integration.md): Treasure AIからAdRollへのデータエクスポート方法を解説。非推奨のAdRollコネクタの代わりにNextRoll Audience Exportコネクタを使用する手順を説明します。 - [Airship Export Integration CLI](https://docs.treasure.ai/ja/int/airship-export-integration-cli.md): Treasure AIからAirship Audience ListsにデータをエクスポートするためのCLIツールの設定方法と、サポートされる設定オプションを解説します。 - [Airship Export Integration](https://docs.treasure.ai/ja/int/airship-export-integration.md): Treasure AIのクエリ結果をAirshipのオーディエンスリストに直接エクスポートし、特定のユーザーをターゲティングするための統合ガイドです。 - [Airship Import Integration](https://docs.treasure.ai/ja/int/airship-import-integration.md): Airshipからデータをインポートし、顧客情報やリストを取り込むためのTreasure AIインテグレーション手順を解説 - [Amazon Ads Export Integration](https://docs.treasure.ai/ja/int/amazon-ads-export-integration.md): Amazon AdsエクスポートインテグレーションでTreasure AIからAmazon広告プラットフォームへオーディエンスを簡単に連携できます。AMCとDSPでのオーディエンス管理をサポートします。 - [Amazon Ads Import Integration DSP Report](https://docs.treasure.ai/ja/int/amazon-ads-import-integration-dsp-report.md): Amazon Ads DSPレポートをTreasure AIに簡単にインポートする方法を解説。認証設定からソース作成までの手順を詳しく紹介します。 - [Amazon Redshift Import Integration Using The CLI](https://docs.treasure.ai/ja/int/amazon-redshift-import-integration-using-the-cli.md): Amazon RedshiftからTreasure AIへのデータインポートを、Connector CLIを使用して簡単に実行する手順を解説します。設定方法とインポートプロセスを詳しく説明します。 - [Amazon DSP Data Provider Export Integration](https://docs.treasure.ai/ja/int/amazon-dsp-data-provider-export-integration.md): Amazon DSPのセグメントデータをエクスポートするための統合ガイドで、ハッシュ化された顧客情報の処理方法と制限事項を詳しく説明します。 - [Amazon Marketing Cloud Export Integration](https://docs.treasure.ai/ja/int/amazon-marketing-cloud-export-integration.md): Amazon Marketing CloudとTreasure AI CDPの統合により、仮名化されたオーディエンスデータを安全にアップロードし、広告キャンペーンを最適化する方法を解説します。 - [Amazon Redshift Export Integration](https://docs.treasure.ai/ja/int/amazon-redshift-export-integration.md): Treasure AIから Amazon Redshift へのデータエクスポート方法を解説。対応リージョン、設定手順、制限事項について詳しく説明します。 - [Amazon Marketing Cloud Import Integration](https://docs.treasure.ai/ja/int/amazon-marketing-cloud-import-integration.md): Amazon Marketing Cloud Import IntegrationでTreasure AI CDPにAmazonマーケティングデータをインポートする方法を解説します。前提条件、インスタンスID取得、接続設定の手順を詳しく説明します。 - [Amazon Redshift Import Integration](https://docs.treasure.ai/ja/int/amazon-redshift-import-integration.md): Amazon RedshiftからTreasure AIへのデータインポート方法を解説。接続設定、認証、データ転送の手順を詳しく説明します。 - [Amplitude Import Integration](https://docs.treasure.ai/ja/int/amplitude-import-integration.md): Amplitudeからデータをインポートし、マーケティングスタックを強化するTreasure AIの統合方法を説明します。APIキーの設定方法と、データ連携のメリットを紹介します。 - [Amazon S3 Export Integration V1](https://docs.treasure.ai/ja/int/amazon-s3-export-integration-v1.md): Treasure AIからAmazon S3へのデータエクスポート方法を解説。IAM設定、データ保存、暗号化オプションなど、S3連携の詳細を紹介します。 - [Amazon S3 Export Integration V2](https://docs.treasure.ai/ja/int/amazon-s3-export-integration-v2.md): Treasure AIから直接Amazon S3にデータをエクスポートするための新しいIntegration V2機能について、セキュリティと拡張性に焦点を当てた説明です。 - [Apache アクセスログインポート連携](https://docs.treasure.ai/ja/int/apache-access-logs-import-integration.md): Apache アクセスログを Treasure Agent (td-agent) で簡単にクラウドにインポートする方法を解説します。設定手順と注意点を詳しく説明します。 - [Amazon S3 ファイル名メタデータ拡張インポートインテグレーション](https://docs.treasure.ai/ja/int/amazon-s3-filename-metadata-enhanced-import-integration.md): Amazon S3のCSVファイルからファイル名メタデータを含むデータをインポートする拡張インテグレーションの設定方法と前提条件を解説します。 - [Apache Kafka And Confluent Cloud Integration](https://docs.treasure.ai/ja/int/apache-kafka-and-confluent-cloud-integration.md): Kafkaとconfluentクラウドを使用してTreasure AI CDPにデータをリアルタイムで取り込む方法を解説。ITチームとマーケターのためのデータ統合ソリューションを紹介。 - [Appsflyer Import Integration](https://docs.treasure.ai/ja/int/appsflyer-import-integration.md): AppsFlyerからTreasure AIへのモバイル広告データのインポート方法を説明。postbackの設定手順と、イベントデータの転送方法を解説します。 - [Amazon S3 Import Integration V1](https://docs.treasure.ai/ja/int/amazon-s3-import-integration-v1.md): AWS S3からTreasure AIへのデータインポートを可能にするAmazon S3 Import Integration V1の設定方法と認証オプションを詳しく解説します。 - [Apptopiaインポート連携](https://docs.treasure.ai/ja/int/apptopia-import-integration.md): ApptopiaデータソースをTreasure AIにインポートする方法を解説。認証、接続、データ転送の手順を詳しく説明し、スムーズな連携を支援します。 - [Amazon S3 Import Integration V2](https://docs.treasure.ai/ja/int/amazon-s3-import-integration-v2.md): Treasure AIのAmazon S3 Import Integration V2で、S3バケットからJSON、TSV、CSVファイルを簡単にインポートできます。assume_role認証のサポートなど、v1からの新機能を紹介します。 - [Apsalar インポート連携](https://docs.treasure.ai/ja/int/apsalar-import-integration.md): ApsalarからTreasure AIへのモバイルアプリ内データのインポート連携方法を説明します。postback連携を通じて、アプリ内イベントを転送できます。 - [Arduino インポート連携](https://docs.treasure.ai/ja/int/arduino-import-integration.md): Arduinoデバイスからデータを収集し、Treasure AIに送信するための統合方法を解説。IoTプロジェクトでのデータ連携と設定手順を詳しく説明します。 - [Amazon S3 Parquet Export Integration](https://docs.treasure.ai/ja/int/amazon-s3-parquet-export-integration.md): Treasure AIのジョブ結果をParquetファイルとしてAmazon S3に直接エクスポートする方法を説明する統合ガイドです。 - [Amazon S3 Parquet Import Integration](https://docs.treasure.ai/ja/int/amazon-s3-parquet-import-integration.md): Amazon S3のParquetファイルからTreasure AIへデータをインポートする方法と、サポートされる認証方法について詳しく解説します。 - [Amplitude Export Integration](https://docs.treasure.ai/ja/int/amplitude-export-integration.md): Treasure AIからデータをクエリし、Amplitudeにエクスポートする方法を解説。前提条件、アカウント作成、接続設定、クエリ方法を詳しく説明します。 - [AWS Elastic Beanstalk インポート統合](https://docs.treasure.ai/ja/int/aws-elastic-beanstalk-import-integration.md): AWS Elastic Beanstalk で Treasure AI を簡単に設定し、データをインポートするための詳細な手順ガイド。fluentd のインストール方法と設定手順を説明します。 - [AudienceOne エクスポートインテグレーション](https://docs.treasure.ai/ja/int/audienceone-export-integration.md): Treasure AIから、AudienceOneへユーザーリストデータをエクスポートする方法を解説。セグメント作成と広告キャンペーンへの活用方法を詳しく説明します。 - [Batch インポート インテグレーション](https://docs.treasure.ai/ja/int/batch-import-integration.md): Batch Platform アカウントから Treasure AI にデータをインポートします。 - [Batch インテグレーション概要](https://docs.treasure.ai/ja/int/batch-integration-overview.md): Treasure AI と Batch のインテグレーション概要です。Batch はプッシュ通知、アプリ内メッセージ、メール、SMSキャンペーンに対応したカスタマーエンゲージメントプラットフォームです。 - [Birst With The Treasure AI JDBC Driver](https://docs.treasure.ai/ja/int/birst-with-the-treasure-data-jdbc-driver.md): Birst と Treasure AI JDBC ドライバーを使用してデータを統合し、エンタープライズBIを実現する手順を解説します。非推奨のJDBCドライバーによる設定方法を詳しく説明します。 - [Batchエクスポートインテグレーション](https://docs.treasure.ai/ja/int/batch-export-integration.md): Treasure AIからBatchへ顧客プロファイルデータまたはオーディエンスセグメントをエクスポートし、列をプロファイル属性、イベント、またはオーディエンスメンバーシップにマッピングします。 - [Box Import Integration](https://docs.treasure.ai/ja/int/box-import-integration.md): Box Data ConnectorでBoxサーバーからTreasure AIへファイルをインポートする方法を解説。OAuth認証、データ転送の設定、csvおよびtsvファイルのインポート手順を詳しく説明します。 - [Brainpad Rtoaster エクスポート統合](https://docs.treasure.ai/ja/int/brainpad-rtoaster-export-integration.md): Brainpad RtoasterとTreasure AIを連携し、デジタルマーケティングのデータ活用を効率化する統合ソリューションの詳細説明 - [Branch Metrics Import Integration](https://docs.treasure.ai/ja/int/branch-metrics-import-integration.md): Branch MetricsのイベントをリアルタイムでTreasure AIに取り込み、モバイルキャンペーンの包括的な分析を可能にする統合ガイド。 - [Brandwatch Import Integration](https://docs.treasure.ai/ja/int/brandwatch-import-integration.md): Brandwatchのメンションデータを簡単にTreasure AIにインポートする方法を解説。接続、ソース作成、データ転送の手順を詳しく説明します。 - [Bombora Import Integration](https://docs.treasure.ai/ja/int/bombora-import-integration.md): Bomboraから企業のSurge Reportデータを簡単にTreasure AIにインポートする方法を説明します。APIアクセスと認証情報を使用して、企業のインテリジェンスデータを効率的に取り込みます。 - [Braze Currents Import Integration](https://docs.treasure.ai/ja/int/braze-currents-import-integration.md): Brazeデータを簡単にTreasure AIにストリーミングするためのネイティブコネクタ設定方法を解説。リアルタイムデータ連携の手順と注意点を詳しく説明します。 - [Braze Output Streaming Integration](https://docs.treasure.ai/ja/int/braze-output-streaming-integration.md): Treasure AIからBrazeへのリアルタイムメッセージ送信インテグレーションの設定方法と、キャンペーンやCanvasフローを通じた顧客エンゲージメント最適化について解説します。 - [Brightcove Player Import Integration](https://docs.treasure.ai/ja/int/brightcove-player-import-integration.md): BrightcoveプレーヤーからデータをTreasure AIにインポートする方法を解説。プラグイン設定、イベント収集、データ分析の手順を詳しく説明します。 - [Box Export Integration](https://docs.treasure.ai/ja/int/box-export-integration.md): Treasure AIのジョブ結果をBoxにエクスポートする方法を解説。OAuth認証を使用し、簡単に接続を設定できます。 - [Chartio Export Integration](https://docs.treasure.ai/ja/int/chartio-export-integration.md): Treasure AIとChartioを連携し、データビジュアライゼーションを簡単に作成する方法を解説します。データソース設定、チャート作成の手順を詳しく説明します。 - [Bulk Import Integration Legacy](https://docs.treasure.ai/ja/int/bulk-import-integration-legacy.md): Treasure AIのレガシーなデータ一括インポート機能について、Embulkへの移行と従来のtd importコマンドの使用方法を解説します。 - [Braze Cohort Export Integration](https://docs.treasure.ai/ja/int/braze-cohort-export-integration.md): Treasure AIのBraze Cohortエクスポート機能を使用して、特定のcohortにプロファイルを追加または削除する方法を説明します。 - [Cuenote Export Integration](https://docs.treasure.ai/ja/int/cuenote-export-integration.md): Treasure AIからCuenoteへのユーザーセグメントエクスポート方法と、パーソナライズされたメールキャンペーンの実行手順を解説 - [Braze Export Integration](https://docs.treasure.ai/ja/int/braze-export-integration.md): Treasure AIからBrazeへのデータ連携を説明し、マッピング、オプトアウト、イベントトラッキングなどの機能を紹介する技術統合ガイド。 - [Cyberagent Ameba Export Integration](https://docs.treasure.ai/ja/int/cyberagent-ameba-export-integration.md): Treasure AIからCyberAgent Amebaへのユーザーリスト連携方法を解説。td_global_idを活用したInfeed AdsとVideo Adsのターゲティング設定について詳しく説明します。 - [Cvent Import Integration](https://docs.treasure.ai/ja/int/cvent-import-integration.md): Cvent Import IntegrationでTreasure AI Customer Data Platformを使用し、イベント管理ソフトウェアからデータを簡単に取り込む方法を解説します。認証、データ種別、取得範囲の設定方法を詳しく説明。 - [CleverTap Export Integration](https://docs.treasure.ai/ja/int/clevertap-export-integration.md): CleverTapとTreasure AIの連携により、ユーザーエンゲージメントデータを統合し、マーケティング戦略を最適化する方法を解説します。 - [Criteo Export Integration](https://docs.treasure.ai/ja/int/criteo-export-integration.md): Treasure AIからCriteo Marketing APIへのデータエクスポート方法を解説。認証、広告主ID取得、クエリ定義の手順を詳しく説明します。 - [Datorama Export Integration](https://docs.treasure.ai/ja/int/datorama-export-integration.md): Treasure AIとDatoramaの連携方法を解説。データストリーム作成、接続設定、データマッピングの手順を詳しく説明します。 - [DataRobot Export Integration](https://docs.treasure.ai/ja/int/datarobot-export-integration.md): DataRobotとTreasure AIを連携し、データサイエンスワークフローを効率化。JDBCドライバーを使用してデータを簡単に取得・エクスポートし、AIモデリングを支援します。 - [Domo Export Integration](https://docs.treasure.ai/ja/int/domo-export-integration.md): Treasure AIとDomoを連携し、リアルタイムでデータを可視化し、効果的なダッシュボードを作成する手順を解説します。 - [Dotdigital Export Integration CLI](https://docs.treasure.ai/ja/int/dotdigital-export-integration-cli.md): Dotdigital Export Integration CLIを使用して、Treasure AIからDotdigital Marketing Solutionへジョブ結果を直接エクスポートする方法を説明します。接続設定とエクスポートモードの詳細を解説。 - [Dotdigital Import Integration](https://docs.treasure.ai/ja/int/dotdigital-import-integration.md): Dotdigital Engagement Cloudからデータを簡単にTreasure AIにインポートする方法を解説。APIアカウント設定から接続、データ転送までの手順を詳しく説明します。 - [Data Landing Integration](https://docs.treasure.ai/ja/int/data-landing-integration.md): Treasure AIのデータ連携を簡単にする中間ストレージソリューション。SFTPやData Connectorsを使用して、セキュアにデータをインポート、エクスポート、ステージングできます。 - [Databricks Export Integration](https://docs.treasure.ai/ja/int/databricks-export-integration.md): Databricksへのデータエクスポート方法を解説。Treasure AIからクエリ結果を簡単に連携し、データ分析を効率化する手順と注意点を説明します。 - [Databricks Import Integration](https://docs.treasure.ai/ja/int/databricks-import-integration.md): Databricksからデータをインポートする方法を解説。認証設定、接続手順、必要な要件を詳しく説明し、Treasure AIとの統合を支援します。 - [Dynalyst Export Integration](https://docs.treasure.ai/ja/int/dynalyst-export-integration.md): Dynalystへのデータエクスポート方法を解説。AWS S3を使用した連携手順と、Treasure ConsoleおよびTD Toolbeltでのエクスポートクエリ定義について詳しく説明します。 - [Dynalyst Import And Export Integration](https://docs.treasure.ai/ja/int/dynalyst-import-and-export-integration.md): Dynalystデータコネクタを使用したデータのインポートとエクスポート方法を解説。CSV、TSV、JSONファイルの連携や、AWS S3との統合手順を詳しく説明します。 - [Delta Sharing Import Integration](https://docs.treasure.ai/ja/int/delta-sharing-import-integration.md): Delta SharingからTreasure AIへのデータインポート方法を解説。必要な認証情報、エンドポイント設定、および連携手順について詳しく説明します。 - [DialogOne Export Integration](https://docs.treasure.ai/ja/int/dialogone-export-integration.md): Treasure AIからのジョブ結果をDialogOneアカウントに直接書き出すための統合設定方法を解説。アカウント認証、接続パラメータ、クエリ定義の手順を詳しく説明します。 - [Elastic Cloud Export CLI](https://docs.treasure.ai/ja/int/elastic-cloud-export-cli.md): Elastic Cloud Exportのためのコマンドラインインターフェースを使用してクエリ結果をエクスポートする方法を説明します。 - [Dotdigital Export Integration](https://docs.treasure.ai/ja/int/dotdigital-export-integration.md): Treasure AIからDotdigital Engagement Cloudにジョブ結果をエクスポートし、メール、SMS、ソーシャルメディア、プッシュ通知などのオムニチャネルマーケティングキャンペーンを実行します。 - [Dropbox Export Integration](https://docs.treasure.ai/ja/int/dropbox-export-integration.md): Treasure AIから直接Dropboxにクエリ結果をエクスポートする方法を解説。OAuth認証を使用し、簡単にデータ連携できる手順を説明します。 - [Embedded Apps CおよびC++インポート連携](https://docs.treasure.ai/ja/int/embedded-apps-c-and-c-import-integration.md): C++アプリケーションからFluent Bitを使用してTreasure AIにデータをインポートする方法を詳しく解説します。設定手順と組み込み方法を学べます。 - [Dynalyst Import Integration](https://docs.treasure.ai/ja/int/dynalyst-import-integration.md): Dynalystデータコネクタを使用してS3バケットからTreasure AIにデータをインポートする方法を解説。認証設定、ソース定義、データプレビューの手順を詳しく説明します。 - [AWS S3からのEmbulkバルクインポート](https://docs.treasure.ai/ja/int/embulk-bulk-import-from-aws-s3.md): AWS S3からEmbulkを使用してTreasure AIにデータをインポートする方法を詳しく解説します。設定ファイルの作成、プラグインのインストール、フィールド推測の手順を紹介します。 - [Elastic Cloud Export Integration](https://docs.treasure.ai/ja/int/elastic-cloud-export-integration.md): Treasure AIからElastic Cloudへのデータエクスポート方法を解説。認証、前提条件、設定手順を日本語で詳しく説明します。 - [Embulk Bulk Import from CSV files](https://docs.treasure.ai/ja/int/embulk-bulk-import-from-csv-files.md): Embulkを使用してCSVファイルからTreasure AIにデータをインポートする方法を詳細に解説。設定ファイルの作成手順と注意点を説明します。 - [Embulk Bulk Import From Google Sheets](https://docs.treasure.ai/ja/int/embulk-bulk-import-from-google-sheets.md): Google SheetsからTreasure AIへのデータインポートを、Embulkプラグインを使用して行う方法を解説する技術ドキュメントページです。 - [Embulk Bulk Import From MySQL](https://docs.treasure.ai/ja/int/embulk-bulk-import-from-mysql.md): Embulk を使用してMySQLからTreasure AIへのデータインポート方法を詳細に解説。プラグインのインストールから設定ファイルの作成まで手順を紹介します。 - [Emberpoint Mailpublisher Export Integration](https://docs.treasure.ai/ja/int/emberpoint-mailpublisher-export-integration.md): Treasure AIからEmberpoint MailPublisherへのセグメント公開と、パーソナライズされたメールキャンペーン実行のための統合ガイドです。データ連携の仕組みと注意点を解説します。 - [Embulk Encoder Encryption PGP](https://docs.treasure.ai/ja/int/embulk-encoder-encryption-pgp.md): EmbulkのデータエクスポートにおけるPGP暗号化の設定、セキュリティデータの強化向けの暗号化プラグインについて説明します。データの保護のための重要な機能を紹介します。 - [Embulk Bulk Import From Tsv Files](https://docs.treasure.ai/ja/int/embulk-bulk-import-from-tsv-files.md): Embulkを使用してTSVファイルからTreasure AIにデータをインポートする手順と設定方法を解説する技術文書です。 - [Excel Import Integration Deprecated](https://docs.treasure.ai/ja/int/excel-import-integration-deprecated.md): Excelインポート統合の廃止に関する重要な情報と、Presto ODBCドライバーの代替手段について説明するドキュメントページです。 - [Emberpoint Mailpublisher Import Integration](https://docs.treasure.ai/ja/int/emberpoint-mailpublisher-import-integration.md): Emberpoint MailPublisherのインポート統合について、Treasure AIでデータをインポートする方法と設定手順を詳しく解説します。 - [Eyeota Import Integration](https://docs.treasure.ai/ja/int/eyeota-import-integration.md): Eyeotaとのデータ統合により、Treasure AIでサードパーティオーディエンスデータを簡単に活用し、マーケティングキャンペーンを強化する方法を解説 - [F.O.X Force Operation X インポート統合](https://docs.treasure.ai/ja/int/f-o-x-force-operation-x-import-integration.md): F.O.X Force Operation Xからのデータインポート方法を解説。Treasure AIで効率的にモバイルアプリイベントデータを統合する手順を説明します。 - [Facebook Ads Insights インポート連携](https://docs.treasure.ai/ja/int/facebook-ads-insights-import-integration.md): Facebook Ads Insightsのデータをインポートする方法を解説。OAuth認証やアクセストークンを使用し、広告キャンペーンの結果データを簡単に取り込めます。 - [Audience StudioからのFacebook Conversion Export](https://docs.treasure.ai/ja/int/facebook-conversion-export-from-audience-studio.md): Audience StudioからFacebook Conversionデータをエクスポートする方法を解説。Pixel IDとAccess Tokenを使用したFacebookアクティベーションの手順を詳しく説明します。 - [Facebook Conversions Export Integration CLI](https://docs.treasure.ai/ja/int/facebook-conversions-export-integration-cli.md): Facebook Conversions エクスポート CLI を使用して、Treasure AI から Facebook にイベントデータを直接送信し、広告効果を測定する方法を解説します。 - [Equativ Batch File Export Integration](https://docs.treasure.ai/ja/int/equativ-batch-file-export-integration.md): Google Cloud Storage Export V2 コネクタと Equativ のバッチファイル同期バケットを使って、Treasure AI からセグメントタクソノミーとユーザープロファイルデータを Equativ に送信します。 - [Facebook Lead Ads インポート統合 CLI](https://docs.treasure.ai/ja/int/facebook-lead-ads-import-integration-cli.md): Facebook Lead Ads ConnectorでTreasure AIにリードデータをインポートする手順と、CLIを使用した接続設定方法を解説します。 - [Facebook Conversions API Export Integration](https://docs.treasure.ai/ja/int/facebook-conversions-api-export-integration.md): Treasure AIから Facebook Conversions APIを使用してイベントデータを直接送信し、広告効果を正確に測定する方法を解説します。 - [Firebase Cloud Messaging Export Integration](https://docs.treasure.ai/ja/int/firebase-cloud-messaging-export-integration.md): Treasure AIでFirebase Cloud Messagingを使用してモバイルアプリやWebサイトに通知を送信する方法を解説します。認証設定と統合手順を詳しく説明します。 - [Fluentd 継続的データインポートインテグレーション](https://docs.treasure.ai/ja/int/fluentd-continuous-data-import-integration.md): Fluentdを使用してTreasure AIに継続的にデータをインポートする方法を解説。プラグインのインストール、設定、データアップロードの手順を詳しく説明します。 - [Facebook Custom Audience Export Integration](https://docs.treasure.ai/ja/int/facebook-custom-audience-export-integration.md): Treasure AIから Facebook Custom Audienceへのデータエクスポート方法を解説。広告アカウントの設定、アクセストークンの取得、オーディエンス作成の手順を詳しく説明します。 - [Facebook Lead Ads インポート連携](https://docs.treasure.ai/ja/int/facebook-lead-ads-import-integration.md): Facebook Lead Ads から Treasure AI へのリードデータインポート方法を詳しく解説。Ad ID、Form ID の取得と連携設定の手順を紹介します。 - [FTP Import Integration CLI](https://docs.treasure.ai/ja/int/ftp-import-integration-cli.md): FTPデータコネクタのCLIを使用してFTPサーバーからデータをインポートする手順と設定方法を詳細に解説します。 - [Gigya Import Integration CLI](https://docs.treasure.ai/ja/int/gigya-import-integration-cli.md): Gigya Import Integration CLIを使用して、Gigyaからデータをインポートし、Treasure AIにロードする方法を詳細に解説します。CLIツールの設定、load.ymlの構成、データプレビュー、ジョブ実行の手順を説明します。 - [Facebook Offline Conversions Export Integration CLI](https://docs.treasure.ai/ja/int/facebook-offline-conversions-export-integration-cli.md): Treasure AIから直接Facebookにオフラインイベントデータを送信し、広告効果を測定するCLIツールの設定と使用方法を解説します。 - [Facebook Offline Conversions](https://docs.treasure.ai/ja/int/facebook-offline-conversions.md): Treasure AIからFacebookにオフラインイベントデータを直接送信し、広告効果を測定するためのガイドです。Facebook Offline Conversionsの設定方法と前提条件を解説します。 - [Facebook Page Insights Import Integration](https://docs.treasure.ai/ja/int/facebook-page-insights-import-integration.md): Facebook Page Insights のデータを Treasure AI にインポートする方法を解説。認証、接続設定、インポート可能なデータの詳細を説明します。 - [Google Accelerated Mobile Pages Amp](https://docs.treasure.ai/ja/int/google-accelerated-mobile-pages-amp.md): Google AMPでTreasure AIを使用してページビューを追跡する方法と、amp-analyticsコンポーネントの設定手順を解説します。 - [Firebase Cloud Messaging Streaming Output Integration](https://docs.treasure.ai/ja/int/firebase-cloud-messaging-streaming-export-integration.md): Firebase Cloud Messagingを使用したリアルタイムメッセージ配信の設定方法と、Treasure AIとの連携手順を解説します。メッセージングワークフローの構築に役立つガイドです。 - [Google Ad Manager Data Transfer Reports Via Google Cloud Storage Import Integration](https://docs.treasure.ai/ja/int/google-ad-manager-data-transfer-reports-via-google-cloud-storage-import-integration.md): Google Ad Managerのデータ転送レポートをGoogle Cloud Storageからインポートし、Treasure AIで広告キャンペーンの詳細な分析を行う方法を解説します。 - [FTP Server Export Integration](https://docs.treasure.ai/ja/int/ftp-server-export-integration.md): FTPサーバーへのジョブ結果のエクスポート方法を解説。FTPS/FTPESに対応し、クエリ結果を安全にFTPサーバーに送信する手順を説明します。 - [FTP Serverインポートインテグレーション](https://docs.treasure.ai/ja/int/ftp-server-import-integration.md): FTPサーバーからTreasure AIへのデータインポートについて、接続方法、要件、制限事項を詳しく解説する技術ドキュメント - [Gigya インポート連携](https://docs.treasure.ai/ja/int/gigya-import-integration.md): Gigya（SAP Customer Data Cloud）から、Accounts、Profile、Data Store、Audit Logのデータを安全にTreasure AIにインポートする方法を解説します。 - [Google AD Manager Via Data Transfer Reports Import Integration](https://docs.treasure.ai/ja/int/google-ad-manager-via-data-transfer-reports-import-integration.md): Google Ad Manager のデータを Treasure AI にインポートする手順と設定方法を詳しく解説。ネットワークコードの設定や認証方法を紹介します。 - [Google Ads Import Integration 廃止](https://docs.treasure.ai/ja/int/google-ads-import-integration-deprecated.md): Google Ads Import Integration の廃止と、新しいバージョンへの移行に関する重要な情報を提供する技術文書ページの説明です。 - [Google Ad Manager Via Audience Partner API Export Integration](https://docs.treasure.ai/ja/int/google-ad-manager-via-audience-partner-api-export-integration.md): Google Ad ManagerとTreasure AIの連携方法を解説。オーディエンスリスト作成、アクセス権限付与、APIエクスポートの手順と注意点を詳しく説明します。 - [Google Ads Remarketing Export Integration CLI](https://docs.treasure.ai/ja/int/google-ads-remarketing-export-integration-cli.md): Google Ads Remarketing用のCLIツールで、OAuth認証情報の取得と設定方法を詳細に解説する技術文書です。 - [Google Ads リマーケティングリストエクスポート統合(非推奨)](https://docs.treasure.ai/ja/int/google-ads-remarketing-lists-export-integration-deprecated.md): Google Ads リマーケティングリストのエクスポート統合について、非推奨の詳細と移行オプションを説明する技術文書 - [Audience StudioにおけるGoogle Ads V2 Export Integration CLI](https://docs.treasure.ai/ja/int/google-ads-v2-export-integration-cli-in-audience-studio.md): Audience StudioでのGoogle Ads V2エクスポート統合CLIの設定方法を解説。OAuth認証情報の作成、アカウント承認、td コマンドのインストール手順を詳しく説明します。 - [Google Analytics Import Integration CLI](https://docs.treasure.ai/ja/int/google-analytics-import-integration-cli.md): Google AnalyticsデータをCLIを使用してTreasure AIにインポートする方法を解説。コネクタの設定、データ転送の指定、プレビュー方法を詳しく説明します。 - [Google Ads Import Integration V2](https://docs.treasure.ai/ja/int/google-ads-import-integration-v2.md): Google Adsのレポートとメトリクスを Treasure AI にインポートし、マーケティングキャンペーンを最適化するためのデータ連携ガイドです。 - [Treasure AI向けGoogle APIの開示](https://docs.treasure.ai/ja/int/google-api-disclosure-for-treasure-data.md): Treasure AIのGoogle API統合における利用条件、データポリシー、アカウント連携の詳細な開示情報を説明します。 - [Google Audience Partner API Status Via SFTP Import CLI](https://docs.treasure.ai/ja/int/google-audience-partner-api-status-via-sftp-import-cli.md): Google Audience Partner APIのSFTP経由でのデータインポートとCLIツールを使用したステータス管理について説明します。インストール、設定、ジョブ実行の手順を解説。 - [Google Ads Remarketing Export Integration](https://docs.treasure.ai/ja/int/google-ads-remarketing-export-integration.md): Google AdsのリマーケティングにTreasure AIを使用して、メールアドレスや電話番号などのユーザープロファイルをリマーケティングリストにエクスポートする方法を解説します。 - [Google Ads Via Audience Partner Api Export Integration](https://docs.treasure.ai/ja/int/google-ads-via-audience-partner-api-export-integration.md): Treasure AIのデータを活用してGoogle Adsのオーディエンスリストを作成する方法を解説。Cookie、IDFA、ADIDを使用したオーディエンスセグメントの設定手順を紹介します。 - [Google Ads V2 Export Integration](https://docs.treasure.ai/ja/int/google-ads-v2-export-integration.md): Google Ads V2エクスポート連携で、メールアドレスや電話番号を使用してTreasure AIからGoogleリマーケティングリストにユーザーデータを簡単にエクスポートする方法を解説します。 - [Google Bigquery インポート連携 CLI](https://docs.treasure.ai/ja/int/google-bigquery-import-integration-cli.md): TD Toolbeltを使用してGoogle BigQueryからTreasure AIへデータをインポートする手順と設定方法を解説します。 - [Google Analytics Data API インポートインテグレーション](https://docs.treasure.ai/ja/int/google-analytics-data-api-import-integration.md): Google Analytics Data API を使用して、GA4 レポートデータにプログラムからアクセスする方法を解説。認証方法や設定手順を詳しく説明します。 - [Google Analytics Import Integration](https://docs.treasure.ai/ja/int/google-analytics-import-integration.md): Google AnalyticsのデータをTreasure AIにインポートする方法と、必要な認証設定について説明する技術文書です。 - [Google Audience Partner API Status Via SFTP Import Integration](https://docs.treasure.ai/ja/int/google-audience-partner-api-status-via-sftp-import-integration.md): Google Audience Partner API Status via SFTPインテグレーションで、Google Marketing Platformからステータスデータを簡単にTreasure AIにインポートする方法を説明します。 - [Google Bigquery Export Integration V2](https://docs.treasure.ai/ja/int/google-bigquery-export-integration-v2.md): Google BigQuery Connector V2の詳細な設定ガイド。大量データのParquetファイル変換、最適化されたアップロード、柔軟な同期モードについて解説します。 - [Google Bigquery Export Integration](https://docs.treasure.ai/ja/int/google-bigquery-export-integration.md): Treasure AIからGoogle BigQueryへのデータエクスポート方法を解説。Project IDやJSON認証情報の取得、データ書き出しの設定方法を詳しく説明します。 - [Google Business Profile Import Integration Using The CLI](https://docs.treasure.ai/ja/int/google-business-profile-import-integration-using-the-cli.md): Google Business Profileからアカウント、ロケーション、レビューデータをCLIを使用してTreasure AIにインポートする方法を説明します。 - [Google BigQuery Import Integration V2](https://docs.treasure.ai/ja/int/google-bigquery-import-integration-v2.md): Google BigQuery V2インテグレーションを使用して、BigQueryのテーブルやクエリ結果をTreasure AIにインポートする方法と注意点を解説します。 - [Google BigQuery Import Integration](https://docs.treasure.ai/ja/int/google-bigquery-import-integration.md): Google BigQueryからTreasure AIへのデータインポート方法を解説。接続要件、制限事項、必要な権限について詳しく説明します。 - [Google Data Manager エクスポート連携](https://docs.treasure.ai/ja/int/google-data-manager-export-integration.md): Google Data Managerを通じて、複数のGoogleアド製品にオーディエンスデータを簡単にエクスポートする方法を解説する技術ドキュメントページです。 - [Google Business Profile Import Integration](https://docs.treasure.ai/ja/int/google-business-profile-import-integration.md): Google Business Profileからの顧客情報とレビュー統計のインポート方法を解説。OAuth認証、必要なAPI、接続手順について詳しく説明します。 - [Google Cloud Storage Export Integration](https://docs.treasure.ai/ja/int/google-cloud-storage-export-integration.md): Google Cloud Storageへのエクスポート方法を詳しく解説。必要な認証情報、バケット作成手順、権限設定について説明します。 - [Google Cloud Storage Export V2 Integration](https://docs.treasure.ai/ja/int/google-cloud-storage-export-v2-integration.md): Treasure AIからGoogle Cloud Storageへのデータエクスポート方法を詳しく解説。バケット作成、認証設定、権限設定など、統合手順を日本語で説明します。 - [Google Cloud Storage Import Integration](https://docs.treasure.ai/ja/int/google-cloud-storage-import-integration.md): Google Cloud Storageからデータをインポートし、Treasure AIで分析するための簡単な接続方法を説明します。JSONキーファイルを使用して認証し、*.tsvおよび*.csvファイルを簡単に取り込めます。 - [Google Cloud Storage Import V2 Integration](https://docs.treasure.ai/ja/int/google-cloud-storage-import-v2-integration.md): Google Cloud Storageからデータをインポートする方法を詳しく解説。TSV/CSVファイルのインポート手順、認証設定、必要な権限について説明します。 - [Google Driveインポート連携](https://docs.treasure.ai/ja/int/google-drive-import-integration.md): Google DriveからTreasure AIへのデータインポート方法を解説。CSV/TSVファイルのgzipに対応し、OAuth2認証で簡単に接続できます。 - [Google Campaign Manager Enhanced Conversions エクスポートインテグレーション](https://docs.treasure.ai/ja/int/google-cm360-enhanced-conversions-export-integration.md): Campaign Manager 360 API を使用して、Treasure AI から Google Campaign Manager にコンバージョンデータをエクスポートします。 - [Google Customer Match Export Integration](https://docs.treasure.ai/ja/int/google-customer-match-export-integration.md): Googleカスタマーマッチエクスポート機能を使用して、顧客データをGoogleプラットフォームに安全かつ効率的にアップロードする方法を説明します。 - [Google Data Manager for Conversions エクスポートインテグレーション](https://docs.treasure.ai/ja/int/google-data-manager-for-conversions-export-integration.md): Google Data Manager API を使用して、Treasure AI から Google Ads にコンバージョンイベントデータをエクスポートします。 - [Google Display And Video 360 Export Integration](https://docs.treasure.ai/ja/int/google-display-and-video-360-export-integration.md): Google Display and Video 360と連携し、Treasure AIのオーディエンスデータを広告セグメントに活用する統合ガイド。セグメント作成と権限設定の手順を解説。 - [Google Display And Video 360 API エクスポートインテグレーション](https://docs.treasure.ai/ja/int/google-display-and-video-360-api-export-integration.md): Google Display & Video 360 APIを使用して、Treasure AIのファーストパーティデータを簡単にDV360オーディエンスにエクスポートする方法を説明します。顧客マッチングと同意設定の詳細を紹介。 - [Google Enhanced Conversion Via Google Ads Export Integration](https://docs.treasure.ai/ja/int/google-enhanced-conversion-via-google-ads-export-integration.md): Treasure AIを使用してGoogle Adsのコンバージョン測定を最適化する方法。クリック、リード、Web、オフラインコールなど、様々なコンバージョンタイプに対応。 - [広告向けGoogle Export連携](https://docs.treasure.ai/ja/int/google-export-integration-for-advertising.md): ファーストパーティデータを活用し、Googleマーケティングプラットフォームへのデータ連携を通じて、効果的な広告戦略を実現する方法を解説します。 - [Google Drive Export Integration](https://docs.treasure.ai/ja/int/google-drive-export-integration.md): Treasure AIからGoogle Driveへのジョブ結果のエクスポート方法を解説。OAuth認証、フォルダキー取得、接続作成の手順を詳しく説明します。 - [Google Search Analytics Import Integration](https://docs.treasure.ai/ja/int/google-search-analytics-import-integration.md): Google Search Analyticsのデータを簡単にTreasure AIにインポートし、ページ、クエリ、国、デバイスなどでフィルタリングできる統合ガイド。 - [Google Enhanced Conversion Export Integration 非推奨](https://docs.treasure.ai/ja/int/google-enhanced-conversion-export-integration-deprecated.md): Google Enhanced Conversion Exportの非推奨インテグレーションについて、Google Adsへのコンバージョンデータ書き込み方法と移行手順を説明します。 - [Google Enhanced Conversion Export Integration](https://docs.treasure.ai/ja/int/google-enhanced-conversion-export-integration.md): Google広告のコンバージョン測定を強化するTreasure AIの統合。Google Enhanced Conversionsを使用して、データの精度と追跡性を向上させます。 - [TikTok Marketing API開発者アカウントとアプリケーションの作成ガイド](https://docs.treasure.ai/ja/int/guides-for-creating-tiktok-marketing-api-developer-account-and-application.md): TikTok Marketing APIの開発者アカウント作成と承認プロセスを詳細に解説。アプリケーション登録から認証までの手順を段階的に説明。 - [Google Tag Manager Import Integration](https://docs.treasure.ai/ja/int/google-tag-manager-import-integration.md): Google Tag Managerを使用してTreasure AIにデータを送信する方法を解説。タグの作成、設定、統合の手順を詳しく説明します。 - [Hubspot Export Integration](https://docs.treasure.ai/ja/int/hubspot-export-integration.md): Treasure AIからHubSpot Marketing Cloudへのデータエクスポート方法と設定手順を解説。前提条件、制限事項、認証プロセスについて詳しく説明します。 - [Hubspot Import Integration CLI](https://docs.treasure.ai/ja/int/hubspot-import-integration-cli.md): HubSpotからTreasure AIへデータをインポートするためのコマンドラインインターフェースの設定方法と、サポートされるオブジェクトタイプや設定オプションを詳しく解説します。 - [Google Sheets Export Integration](https://docs.treasure.ai/ja/int/google-sheets-export-integration.md): Treasure AIからGoogle Sheetsへのデータエクスポート方法を解説。最大200万セルまでのジョブ結果を簡単に転送し、ビジネスインサイトを分析できます。 - [Google Sheets Import Integration](https://docs.treasure.ai/ja/int/google-sheets-import-integration.md): Google SheetsからTreasure AIへのデータインポートを簡単に設定する方法を説明します。OAuth認証、接続作成、シート選択のステップを解説します。 - [IBM SPSS Modeler Experimental](https://docs.treasure.ai/ja/int/ibm-spss-modelar-experimental.md): Treasure AI と IBM SPSS Modelerを、Datatank v2を使用して接続する方法を解説。データエクスポートと統計分析のための効率的な手順を紹介します。 - [Informatica Cloud Export Integration](https://docs.treasure.ai/ja/int/informatica-cloud-export-integration.md): Treasure AI から Informatica Cloud へのデータ連携方法を解説。JDBC ドライバーを使用したデータ同期の設定手順と、Secure Agent のインストール方法を詳しく説明します。 - [Intimate Mergerエクスポート連携](https://docs.treasure.ai/ja/int/intimate-merger-export-integration.md): Treasure AIとIntimate Merger DMPの連携方法を解説。デジタルマーケティングでデータを効果的に活用する手順を紹介します。 - [Hubspot インポート連携](https://docs.treasure.ai/ja/int/hubspot-import-integration.md): HubSpotからデータをTreasure AIにインポートし、マーケティングと営業のデータを統合するための連携設定方法を解説します。 - [Jasperreports Server](https://docs.treasure.ai/ja/int/jasperreports-server.md): Treasure AIのJDBCドライバを使用してJasperReports Serverと連携し、クラウド上で大規模データを処理する方法を解説します。データソース設定や接続手順を詳しく説明します。 - [Jaspersoft Ireport Export Integration](https://docs.treasure.ai/ja/int/jaspersoft-ireport-export-integration.md): Treasure AIのJasperSoft iReportエクスポート連携方法を解説。JDBCドライバーを使用し、クラウド上で大規模データをJasperSoftで処理する手順を詳しく説明します。 - [Insider Export Integration](https://docs.treasure.ai/ja/int/insider-export-integration.md): Insider GMP との統合で、ユーザーデータを簡単に同期し、パーソナライズされたマーケティング戦略を強化する方法を解説します。 - [Treasure AI インテグレーションについて](https://docs.treasure.ai/ja/int.md): Treasure AIのデータインジェストパターンを詳しく解説。サーバープッシュ、ストリーミング、SDKなど、多様なデータ収集方法を紹介します。 - [Instagram Custom Audience Export Integration](https://docs.treasure.ai/ja/int/instagram-custom-audience-export-integration.md): Instagram Custom Audience Exportの設定方法を解説。Facebookの正規化ルールに従い、様々なデータソースからターゲティング可能な広告オーディエンスを作成する手順を説明。 - [Java Apps Import Integration](https://docs.treasure.ai/ja/int/java-apps-import-integration.md): Java アプリケーションからTreasure AIへのログ収集と、td-agentを使用したデータインポート方法を解説する技術ドキュメント - [Jira Import Integration](https://docs.treasure.ai/ja/int/jira-import-integration.md): Jiraからデータをインポートする方法を解説。APIキーの取得手順と、Treasure AIコンソールでの設定方法を詳しく説明します。 - [Kafka インポート連携とFluentd Consumer](https://docs.treasure.ai/ja/int/kafka-import-integration-and-fluentd-consumer.md): Kafkaからデータを効率的にTreasure AIにインポートするための、Fluentd Consumerの設定と連携方法を解説します。Kafkaとの統合、インストール手順、設定の詳細を学べます。 - [Instagram User And Media Insights Import Integration](https://docs.treasure.ai/ja/int/instagram-user-and-media-insights-import-integration.md): Instagram Business経由でInstagramのユーザーとメディアのインサイトをTreasure AIに取り込むための詳細な設定と手順を解説 - [Intercom Import Integration](https://docs.treasure.ai/ja/int/intercom-import-integration.md): Intercomからデータを直接Treasure AIにインポートする方法を解説。OAuth認証を使用したコネクション作成の手順を詳しく説明します。 - [Iterable エクスポートインテグレーション](https://docs.treasure.ai/ja/int/iterable-export-integration.md): Treasure AIからIterableへのユーザーリスト管理と同期を簡単に実現する統合ガイド。API連携、ユーザー追加・削除の手順を解説します。 - [Iterable Import Integration](https://docs.treasure.ai/ja/int/iterable-import-integration.md): Iterableからデータを簡単にTreasure AIにインポートする方法を説明します。APIキーの取得、コネクション設定、データ転送の手順を解説します。 - [KARTE Import Integration](https://docs.treasure.ai/ja/int/karte-import-integration.md): KARTE Data Connectorを使用して、Google Cloud Storageからデータをインポートする方法を解説します。Google Service Accountの設定、Treasure AIコンソールでの接続作成、データ転送の手順を詳しく説明します。 - [Klaviyo インポートインテグレーション](https://docs.treasure.ai/ja/int/klaviyo-import-integration.md): Klaviyoからデータをインポートし、Treasure AIに転送するための技術的な手順を詳しく解説する統合ガイドです。APIキーの取得や認証設定など、eコマースマーケティングデータの連携方法を説明します。 - [Kakao Moment エクスポートインテグレーション](https://docs.treasure.ai/ja/int/kakao-moment-export-integration.md): Kakao Momentエクスポートインテグレーションの設定方法を解説。ADIDデータのアップロード、OAuth認証、クエリ定義の手順を日本語で詳しく説明します。 - [Karte Export Integration](https://docs.treasure.ai/ja/int/karte-export-integration.md): Treasure AIのKARTEエクスポート統合について、Google Cloud Storageへのクエリ結果の書き出し方法を詳しく解説します。認証情報の取得から接続設定、クエリ実行までの手順を日本語で説明します。 - [Kochava インポート連携](https://docs.treasure.ai/ja/int/kochava-import-integration.md): Kochavaからデータを取り込み、Treasure AIに連携する方法を解説。モバイルアトリビューションのトラッカーとポストバックの設定手順を詳しく説明します。 - [AWS S3向けレガシーバルクインポート](https://docs.treasure.ai/ja/int/legacy-bulk-import-for-aws-s3.md): AWS S3からTreasure AIへのデータインポート方法を解説。サポートされるファイル形式（CSV、JSON、TSV）と、バルクローダーを使用したインポート手順を詳しく説明します。 - [JSONファイルからのレガシーバルクインポート](https://docs.treasure.ai/ja/int/legacy-bulk-import-from-json-file.md): JSONファイルからTreasure AIへのデータインポート方法を解説。Toolbeltのインストールと認証、JSONデータのアップロード手順を詳しく説明。 - [Klaviyo Export Integration](https://docs.treasure.ai/ja/int/klaviyo-export-integration.md): Treasure AIとKlaviyoの連携方法を解説。プロファイル管理、メールマーケティング、SMS登録のインテグレーション手順と要件を詳しく説明します。 - [Legacy Bulk Import From Mongodb](https://docs.treasure.ai/ja/int/legacy-bulk-import-from-mongodb.md): MongoDB から Treasure AI へのデータ移行方法を解説。mongoexport コマンドでデータをエクスポートし、Toolbeltを使用してバルクインポートする手順を説明します。 - [Legacy Bulk Import From Mysql](https://docs.treasure.ai/ja/int/legacy-bulk-import-from-mysql.md): MySQLからTreasure AIへのデータインポート方法を詳しく解説。Toolbeltのインストールと、コマンドラインを使用したレガシーバルクインポート手順を紹介します。 - [Legacy Bulk Import インターナル](https://docs.treasure.ai/ja/int/legacy-bulk-import-internals.md): Treasure AIのレガシーバルクインポートの内部プロセスと、データインポートの4つの主要ステップを詳細に解説する技術文書です。 - [レガシーバルクインポートのヒントとコツ](https://docs.treasure.ai/ja/int/legacy-bulk-import-tips-and-tricks.md): Treasure AIのレガシーバルクインポートに関する重要なヒントとトラブルシューティング方法を解説。エラー解決、プロキシ設定、パフォーマンス最適化のテクニックを紹介。 - [LINE連携](https://docs.treasure.ai/ja/int/line-integrations.md): Treasure AIのLINE連携機能を解説。MAACメッセージングとLINE広告APIを通じて、セグメントのエクスポートやパーソナライズされたメッセージング、広告配信が可能です。 - [LINE OA Insights インポート インテグレーション](https://docs.treasure.ai/ja/int/line-oa-insights-import-integration.md): LINE OAインサイトからTreasure AIへデータをインポートする方法を解説する技術ドキュメントページです。 - [LINE Ads Custom Audience Export Integration](https://docs.treasure.ai/ja/int/line-ads-custom-audience-export-integration.md): Treasure AIからLINE Adsへのカスタムオーディエンスエクスポート連携の設定と活用方法を解説する技術文書です。 - [LINE Conversion Export Integration](https://docs.treasure.ai/ja/int/line-conversion-export-integration.md): LINE Conversion APIを使用してTreasure AIからイベントデータをエクスポートする方法を解説する技術文書です。データ連携の設定手順と利点を説明します。 - [LINE Messaging エクスポート連携](https://docs.treasure.ai/ja/int/line-messaging-export-integration.md): Treasure AIから、LINEメッセージングアカウントへのユーザーIDエクスポートと多様なメッセージ送信方法について解説します。 - [LinkedIn Export Integration](https://docs.treasure.ai/ja/int/linkedin-export-integration.md): Treasure AIからLinkedInへのデータエクスポート方法を解説。DMPセグメントの作成、オーディエンスリストの動的アップロード、メールアドレスのハッシュ化などの機能を紹介します。 - [LINE OA Streaming Import連携](https://docs.treasure.ai/ja/int/line-oa-streaming-import-integration.md): LINE OAからTreasure AIへのストリーミングインポート連携で、メッセージングデータを簡単に収集し、マーケティング分析に活用できます。 - [LINE via Crescendo Lab エクスポート連携](https://docs.treasure.ai/ja/int/line-via-crescendo-lab-export-integration.md): LINE via Crescendo Labを使用して、LINEプラットフォーム上でユーザーデータをエクスポートし、セグメント化するための連携方法を解説します。 - [CSV、TSV、LTSVフォーマットを使用したログのインポート](https://docs.treasure.ai/ja/int/logs-import-using-csv-tsv-and-ltsv-formats.md): CSV、TSV、LTSVフォーマットでTreasure Agentを使用してログをクラウドにインポートする方法を解説します。インストール手順と設定方法を詳しく説明。 - [LINE Via Crescendo Lab インポート連携](https://docs.treasure.ai/ja/int/line-via-crescendo-lab-import-integration.md): LINE Via Crescendo Labからのデータインポートについて、Treasure AIでのインテグレーション方法と設定手順を解説します。MAACアカウントを使用したデータ連携の詳細を説明。 - [カスタムフォーマットを使用したログのインポート](https://docs.treasure.ai/ja/int/logs-import-using-custom-format.md): カスタムフォーマットのログをTreasure AIにインポートする方法を解説。パーサーの作成、ログのフィルタリング、JSONログの重要性について詳しく説明します。 - [JSON形式を使用したログのインポート](https://docs.treasure.ai/ja/int/logs-import-using-json-format.md): JSON形式のログをTreasure Agentで簡単にインポートする方法を解説。td-agentのインストールと設定手順を詳しく説明します。 - [Logstash Import Integration](https://docs.treasure.ai/ja/int/logstash-import-integration.md): Logstashからデータを簡単にTreasure AIにインポートする方法を解説。プラグインのインストール、設定、データ転送の手順を日本語で詳しく説明します。 - [Looker Export Integration](https://docs.treasure.ai/ja/int/looker-export-integration.md): Treasure AIとLookerを連携し、イベントデータレイクからデータマートを作成する方法を解説します。Data Tanksを使用して、大規模なデータを効率的に分析・可視化できます。 - [LinkedIn Conversions API エクスポート連携](https://docs.treasure.ai/ja/int/linkedin-conversions-api-export-integration.md): LinkedIn Conversions API を使用して、B2Bマーケティングのコンバージョンイベントを正確に追跡し、キャンペーンパフォーマンスを最適化するためのサーバーサイド連携ガイドです。 - [Loopass Export Integration](https://docs.treasure.ai/ja/int/loopass-export-integration.md): Treasure AIとLOOPASSの連携方法を解説。1stパーティデータを活用したパーソナライズLINEメッセージ配信の設定手順を説明します。 - [Luigi Workflow Engine](https://docs.treasure.ai/ja/int/luigi-workflow-engine.md): Luigiワークフローエンジンを使用したデータパイプラインの構築方法。依存関係管理、バッチ処理、自動化のためのPythonフレームワーク。 - [LiveRamp Activation Partners Integration](https://docs.treasure.ai/ja/int/liveramp-activation-partners-integration.md): Treasure AIでLiveRampアクティベーションパートナーへのデータ連携を実現。6つのパートナーへのセグメントエクスポートと同期が可能です。 - [LiveRamp Export Integration](https://docs.treasure.ai/ja/int/liveramp-export-integration.md): Treasure AIのデータを活用し、LiveRampを通じて匿名化されたユーザーセグメントを様々な広告プラットフォームに配信する方法を解説します。 - [Mailchimp Import Integration](https://docs.treasure.ai/ja/int/mailchimp-import-integration.md): Mailchimpからデータをインポートし、Treasure AIでリストを管理するためのデータコネクタの設定方法を解説します。認証方法やレート制限、接続手順を詳しく説明します。 - [Magento Export Integration](https://docs.treasure.ai/ja/int/magento-export-integration.md): Treasure AIのクエリ結果をMagentoに直接エクスポートする方法を解説。APIの仕様、パフォーマンス、制限事項を詳しく説明します。 - [Magento Export Integration](https://docs.treasure.ai/ja/int/magento-import-integration.md): Treasure AIから直接Magento 2にクエリ結果をエクスポートする方法を解説。APIの仕様、パフォーマンス、制限事項を詳しく説明します。 - [Mailpublisher Connector Via CLI](https://docs.treasure.ai/ja/int/mailpublisher-connector-via-cli.md): Treasure AI CLIを使用してMailpublisherコネクタを設定し、メールリストステータスやアーティクルステータスなどのデータを取り込む方法を解説します。 - [Mailchimp Export Integration](https://docs.treasure.ai/ja/int/mailchimp-export-integration.md): Treasure AIからMailchimpへのデータエクスポート方法を解説。セグメンテーション、顧客維持のためのパーソナライズされたメーリングリスト作成について詳しく説明します。 - [MariaDB インポート連携](https://docs.treasure.ai/ja/int/mariadb-import-integration.md): MariaDBからTreasure AIへのデータインポート方法を解説。コマンドラインツールを使用し、設定ファイルの作成とデータ連携の手順を詳しく説明します。 - [Marketo Export Integration](https://docs.treasure.ai/ja/int/marketo-export-integration.md): Treasure AIからMarketoへのデータエクスポート方法を解説。APIを使用してリードリストの追加や更新を行う接続設定と手順を詳しく説明します。 - [Marketo Forms Import Integration](https://docs.treasure.ai/ja/int/marketo-forms-import-integration.md): Marketo Formsとデータ統合で、完全な顧客ジャーニーを追跡。JavaScriptを数行追加するだけで、Webサイトのリード情報をTreasure AIに簡単に連携できます。 - [CLI を使用した Marketo インポート接続](https://docs.treasure.ai/ja/int/marketo-import-connection-using-cli.md): CLI を使用して Marketo からデータをインポートする方法を説明する、設定ファイルの作成と接続手順のガイド - [Mbed Os For Device Tracking](https://docs.treasure.ai/ja/int/mbed-os-for-device-tracking.md): Mbed OSを使用したIoTデバイストラッキングの技術的な手順と、Treasure AIへのデータ送信方法を解説します。サンプルプログラムと具体的な実装手順を紹介します。 - [Metabase Experimental](https://docs.treasure.ai/ja/int/metabase-experimental.md): Treasure AI のデータを Metabase で可視化する方法を解説。Presto 接続設定と Starburst ドライバーのインストール手順を詳しく説明します。 - [Microsoft Azure Blob Storage Import Integration](https://docs.treasure.ai/ja/int/microsoft-azure-blob-storage-import-integration.md): Microsoft Azure Blob Storageからデータをインポートするためのオープンデータコネクタの設定方法と手順を解説します。Azure Blob Storageのコンテナからデータを簡単に取り込めます。 - [Marketo Import Integration](https://docs.treasure.ai/ja/int/marketo-import-integration.md): Marketoデータを Treasure AI にインポートする方法と、Bulk Extract APIを使用したデータ統合の詳細なガイドです。前提条件、アカウント設定、制限事項について説明します。 - [MediaMath Export Integration](https://docs.treasure.ai/ja/int/mediamath-export-integration.md): MediaMathとのデータ連携を設定し、オムニチャネルキャンペーンのセグメントを効率的に管理する方法を解説します。接続手順、要件、クエリ定義のガイドを提供します。 - [Microsoft Azure Datalake Parquet Export Integration](https://docs.treasure.ai/ja/int/microsoft-azure-datalake-parquet-export-integration.md): Treasure AIからAzure Data Lake Storageへ、Parquetファイル形式でデータをエクスポートする方法と設定手順を解説する技術文書です。 - [Microsoft Advertising](https://docs.treasure.ai/ja/int/microsoft-advertising.md): Microsoft Advertisingのデータをインポートし、オーディエンスを作成するための統合手順を説明します。 - [Meta Dataset Quality インポート連携](https://docs.treasure.ai/ja/int/meta-dataset-quality-import-integration.md): Meta Dataset Quality APIを使用して、広告主のConversions APIイベントの品質メトリクスを大規模にインポートし、Event Match Qualityを分析・改善するためのコネクタです。 - [Microsoft Azure Event Grid ストリーミングインポート連携](https://docs.treasure.ai/ja/int/microsoft-azure-event-grid-streaming-import-integration.md): Azure Event GridからTreasure AIへのリアルタイムイベントストリーミング連携の設定方法と、データ活用のための手順を解説する技術文書です。 - [Microsoft Azure Blob Storage Export Integration](https://docs.treasure.ai/ja/int/microsoft-azure-blob-storage-export-integration.md): Microsoft Azure Blob Storageへのデータエクスポート方法を解説。アカウント作成、コンテナ設定、クエリ実行、結果のエクスポート手順を詳しく説明します。 - [Microsoft Azure Data Lake Storage Import Integration](https://docs.treasure.ai/ja/int/microsoft-azure-data-lake-storage-import-integration.md): Azure Data Lake StorageからParquetファイルをTreasure AIにインポートする方法を解説。データ移行、直接取り込み、前提条件、制限事項について詳しく説明します。 - [Microsoft Dynamics 365 Sales Import Integration Using CLI](https://docs.treasure.ai/ja/int/microsoft-dynamics-365-sales-import-integration-using-cli.md): Microsoft Dynamics 365 SalesデータをCLIを使用してTreasure AIにインポートする手順と設定方法を詳細に解説します。アプリケーション認証とデータ連携の具体的な手順を説明。 - [Microsoft SQL Server インポート連携](https://docs.treasure.ai/ja/int/microsoft-sql-server-import-integration.md): Microsoft SQL ServerからTreasure AIへのデータインポート方法を解説。対応バージョンや接続設定、認証情報の指定方法を詳しく説明します。 - [Salesforce連携の移行](https://docs.treasure.ai/ja/int/migrating-salesforce-integrations.md): Salesforceレガシーデータコネクタから新しいSalesforce V2コネクタへの移行手順と、データ特性の詳細な解説を提供します。 - [Google Adwords インテグレーションの移行](https://docs.treasure.ai/ja/int/migrating-google-adwords-integrations.md): Google Adwords データコネクタから新しい Google Ads V2 コネクタへの移行手順と、移行時に注意すべきデータ特性や非推奨指標について解説します。 - [Facebook Conversionsコネクタへの移行ガイド](https://docs.treasure.ai/ja/int/migration-guide-to-facebook-conversion-connector.md): Facebook Conversionsコネクタへの移行方法を詳細に解説。パラメータ設定、クエリフィールドのマッピング、必要な設定手順を紹介します。 - [Mode Analytics Export Integration](https://docs.treasure.ai/ja/int/mode-analytics-export-integration.md): Mode AnalyticsからTreasure AIへのデータエクスポート方法を解説。APIキーの取得、データベース接続、レポート作成の手順を詳しく説明します。 - [Microsoft Dynamics 365 Sales インポート連携](https://docs.treasure.ai/ja/int/microsoft-dynamics-365-sales-import-integration.md): Microsoft Dynamics 365 Sales から Treasure AI へのデータインポート方法を解説。コンタクトやトランザクションデータの連携、増分読み込みの仕組みを詳しく説明します。 - [Microsoft Power BI エクスポート連携](https://docs.treasure.ai/ja/int/microsoft-power-bi-export-integration.md): Treasure AIからMicrosoft Power BIへのデータエクスポート方法を解説。制限事項、前提条件、データセット作成手順を詳しく説明します。 - [Microsoft SQL Server Tables Export Integration](https://docs.treasure.ai/ja/int/microsoft-sql-server-tables-export-integration.md): Treasure AIから直接Microsoft SQL Serverテーブルにデータをエクスポートする方法を解説。クエリ結果の簡単な転送と設定手順を詳しく説明します。 - [Mixpanel Import Integration](https://docs.treasure.ai/ja/int/mixpanel-import-integration.md): MixpanelのイベントデータをTreasure AIにインポートする方法を解説。接続設定、データ転送、ソースパラメータの詳細な手順を紹介します。 - [MongoDB Import Integration](https://docs.treasure.ai/ja/int/mongodb-import-integration.md): MongoDB用Data Connectorは、MongoDBサーバーに保存されているドキュメント（レコード）をTreasure AIにインポートできます。 - [mParticle インポート連携](https://docs.treasure.ai/ja/int/mparticle-import-integration.md): mParticleからAudienceとEventデータをWebhookでTreasure AIに取り込む方法を解説。対応IDや連携手順、データ活用のポイントを紹介します。 - [MySQL Import Integration CLI](https://docs.treasure.ai/ja/int/mysql-import-integration-cli.md): MySQL Import Integration CLIを使用してCLIからMySQLデータをTreasure AIにインポートする方法を詳細に説明します。設定ファイルの作成と接続パラメータの設定方法を解説します。 - [MongoDB Collections Export Integration](https://docs.treasure.ai/ja/int/mongodb-collections-export-integration.md): Treasure AIジョブからブからMongoータgoレションのデクポートする統合。データサイエンスエンティスト向の分析とダッボードにデ簡単に送できます。 - [MySQL Tables Export Integration CLI](https://docs.treasure.ai/ja/int/mysql-tables-export-integration-cli.md): Treasure AIの CLI機能を使用して、MySQLテーブルにクエリ結果を簡単にエクスポートする方法を解説します。スケジュール設定や出力モードの詳細を説明します。 - [MySQL Tables Export Integration](https://docs.treasure.ai/ja/int/mysql-tables-export-integration.md): Treasure AIから既存のMySQLインスタンスにクエリ結果を簡単にエクスポートする方法を解説。接続設定、権限、エクスポート手順を詳しく説明します。 - [.NET Apps Import Integration](https://docs.treasure.ai/ja/int/net-apps-import-integration.md): .NET アプリケーションからTreasure AIへのデータインポート方法を解説。td-agentのインストール手順と設定方法を詳しく説明します。 - [Netsuite Import Integration](https://docs.treasure.ai/ja/int/netsuite-import-integration.md): NetSuiteからTreasure AIへのデータインポート方法を解説。接続、ソース作成、データ転送の手順を詳しく紹介します。 - [Nginx Access Logs](https://docs.treasure.ai/ja/int/nginx-access-logs.md): Nginx アクセスログをTreasure Agentで追跡し、クラウドにインポートする方法を解説します。td-agentのセットアップと設定方法を詳しく説明します。 - [Obtain Azure Data Lake Credentials](https://docs.treasure.ai/ja/int/obtain-azure-data-lake-credentials.md): Azure Data Lakeのストレージアカウントに接続するための認証情報を取得する手順を詳しく解説します。アクセスキーとSASトークンの設定方法を説明。 - [MySQL Import Integration](https://docs.treasure.ai/ja/int/mysql-import-integration.md): Treasure AIでMySQLからデータをインポートする方法を解説。接続設定、認証、データ移行の手順を詳しく説明し、スムーズなデータ連携を支援します。 - [Nend Export Integration](https://docs.treasure.ai/ja/int/nend-export-integration.md): Nendリターゲティングプラットフォームへのデータエクスポート方法と、Treasure AIでの接続設定手順を解説します。サービス終了に伴う注意点も含めた技術ドキュメントです。 - [OneDrive Import Integration](https://docs.treasure.ai/ja/int/onedrive-import-integration.md): OneDriveからTreasure AIへのファイルインポート方法を解説。個人・ビジネスファイルのインポート手順、増分ロード、OAuth認証の注意点を詳しく説明します。 - [Oracle Bluekai Export Integration](https://docs.treasure.ai/ja/int/oracle-bluekai-export-integration.md): Oracle BlueKaiへのユーザーセグメント公開方法を解説。Treasure AIから簡単にデータエクスポートし、マーケティング戦略を最適化。 - [NextRoll Export Integration](https://docs.treasure.ai/ja/int/nextroll-export-integration.md): Treasure AIからNextRollへのオーディエンスデータエクスポートの設定方法と、必要な認証情報の取得手順を解説する技術文書です。 - [Oracle Cross Channel Orchestration Responsys Export Integration](https://docs.treasure.ai/ja/int/oracle-cross-channel-orchestration-responsys-export-integration.md): Oracle Cross Channel OrchestrationのResponsysエクスポート連携により、Web、モバイル、CRMデータを活用したパーソナライズされたメールキャンペーンを効率的に実行できます。 - [Node.js アプリケーション インポート インテグレーション](https://docs.treasure.ai/ja/int/node-js-apps-import-integration.md): Node.js アプリケーションからTreasure AIへのログとイベントのインポート方法を解説。td-agentのインストールと設定、fluent-logger-nodeライブラリの使用方法を詳しく説明します。 - [OneDrive Export Integration](https://docs.treasure.ai/ja/int/onedrive-export-integration.md): Treasure AIからOneDriveへのジョブ結果エクスポート方法を解説。OAuth認証、接続設定、セキュリティオプションについて詳しく説明します。 - [Oracle Opera via HAPI ストリーミングインポートインテグレーション](https://docs.treasure.ai/ja/int/oracle-opera-via-hapi-streaming-import-integration.md): Oracle OPERAのホテル顧客データを、HAPIを通じてTreasure AIに簡単にインポートする方法を説明します。ストリーミングインテグレーションの設定手順と要件を解説します。 - [Onetrust インポート連携](https://docs.treasure.ai/ja/int/onetrust-import-integration.md): OneTrustからTreasure AIへの同意データインポート連携の設定方法を解説。APIキー、コレクションポイント、OAuthトークンの取得手順を説明。 - [Pentaho Data Import Integration](https://docs.treasure.ai/ja/int/pentaho-data-import-integration.md): Pentaho Data Integrationを使用してTreasure AIにデータをインポートする方法を解説。JDBCドライバーの設定、データベース接続、トランスフォーメーションの作成手順を詳しく説明します。 - [Pentaho Report Designer エクスポート連携](https://docs.treasure.ai/ja/int/pentaho-report-designer-export-integration.md): Treasure AI を Pentaho Business Analytics で JDBC ドライバーを使用して利用できます。Treasure AI と Pentaho を組み合わせることで、既存の Pentaho インスタンスを使用して、クラウド上で膨大な量のデータを処理できます。 - [Oracle Eloqua Export Integration](https://docs.treasure.ai/ja/int/oracle-eloqua-export-integration-1.md): Treasure AIからOracle Eloquaへのデータエクスポート統合の設定方法を解説。コンタクトリスト、アカウントグループ、カスタムデータオブジェクトへのデータ追加手順を詳しく説明します。 - [Oracle Eloqua Import Integration](https://docs.treasure.ai/ja/int/oracle-eloqua-import-integration.md): Oracle Eloquaからコンタクトとアクティビティデータを簡単にTreasure AIにインポートする方法を解説。認証、ソース作成、接続設定の手順を詳しく説明します。 - [Oracle Netsuite Bronto Export Integration](https://docs.treasure.ai/ja/int/oracle-netsuite-bronto-export-integration.md): Treasure AIでOracle Netsuite Brontoエクスポート統合の設定方法を解説。SOAP APIアクセストークンの取得、接続作成、カラムマッピングの手順を詳しく説明します。 - [Oracle Opera ストリーミングインポートインテグレーション](https://docs.treasure.ai/ja/int/oracle-opera-streaming-import-integration.md): Oracle Opera のリアルタイムデータインポートを Treasure AI CDPで実現。ホスピタリティ企業向けの効率的なデータ統合ソリューション。 - [Pinterest Conversion Export Integration](https://docs.treasure.ai/ja/int/pinterest-conversion-export-integration.md): Pinterestコンバージョンデータを直接Treasure AIからエクスポートし、広告キャンペーンの最適化と効果測定を実現する連携方法を解説します。 - [Perl Apps Import Integration](https://docs.treasure.ai/ja/int/perl-apps-import-integration.md): Perlアプリケーションからのログとイベントデータを、td-agentを使用してTreasure AIにシームレスにインポートする方法を解説します。インストール手順と設定方法を詳しく説明します。 - [PHPアプリケーションインポート統合](https://docs.treasure.ai/ja/int/php-apps-import-integration.md): PHPアプリケーションからTreasure AIへのデータインポート方法を解説。td-agentのインストール手順と、サーバーサイドログ収集の基本的な統合プロセスを紹介します。 - [Pinterest Export Integration](https://docs.treasure.ai/ja/int/pinterest-export-integration.md): Treasure AIからPinterestへのデータエクスポート方法を解説。オーディエンス管理、ユーザー追加/削除、データ形式の要件などを詳しく説明します。 - [PostgreSQL Export Integration](https://docs.treasure.ai/ja/int/postgresql-export-integration.md): Treasure AIからPostgreSQLインスタンスへのデータエクスポート方法を解説。接続設定、クエリ結果のエクスポート手順を詳しく説明します。 - [Qlikview And Qlik Sense Export Integration](https://docs.treasure.ai/ja/int/qlikview-and-qlik-sense-export-integration.md): Treasure AIとQlikViewおよびQlik Senseの統合方法を解説。ODBCドライバーのインストールと接続設定、データ読み込みの手順を詳しく説明します。 - [PostgreSQLインポート連携](https://docs.treasure.ai/ja/int/postgresql-import-integration.md): PostgreSQLからTreasure AIへのデータインポート方法を解説。接続設定、認証、ソース作成の手順を詳しく説明します。 - [Raspberry Pi Import Integration](https://docs.treasure.ai/ja/int/raspberry-pi-import-integration.md): Raspberry PiからTreasure AIへのセンサーデータインポート方法を解説。低コストのシングルボードコンピュータを使用したクラウドデータロギングの手順と設定方法を詳しく説明します。 - [Redash Export Integration](https://docs.treasure.ai/ja/int/redash-export-integration.md): Redashを使用してTreasure AIのデータを可視化する方法を解説。データソース設定、クエリ作成、ダッシュボード構築の手順を詳しく説明します。 - [Pushcode Export Integration](https://docs.treasure.ai/ja/int/pushcode-export-integration.md): Treasure AIからPUSHCODEへのユーザーセグメントエクスポート方法を解説。パーソナライズされたプッシュ通知のためのターゲティング戦略を紹介します。 - [Pushcode Import Integration](https://docs.treasure.ai/ja/int/pushcode-import-integration.md): Pushcodeのデータを Google Cloud Storage から簡単にインポートする方法を解説。サブスクライバーリスト、セグメントリスト、プッシュ結果のデータ連携について詳しく説明します。 - [Repro インポート/エクスポート インテグレーション](https://docs.treasure.ai/ja/int/repro-import-and-export-integration.md): Treasure AI と Repro デジタルマーケティングサービスを連携する - [Python Apps Import Integration](https://docs.treasure.ai/ja/int/python-apps-import-integration.md): Pythonアプリケーションからサーバーサイドのログとイベントを簡単にTreasure AIにインポートする方法を解説。td-agentのインストール手順と、異なるLinuxディストリビューションでの設定方法を詳しく説明します。 - [Rails Appsインポートインテグレーション](https://docs.treasure.ai/ja/int/rails-apps-import-integration.md): Ruby on Rails向けTreasure AIインポート方法を解説。td-agentのインストール手順と、サーバーサイドログやイベントデータのクラウドへのシームレスな収集方法を説明します。 - [Rtoaster Export Integration](https://docs.treasure.ai/ja/int/rtoaster-export-integration.md): Treasure AIからRtoasterへのセグメント情報のエクスポート方法と、S3コネクタやProfile APIを使用したデータ連携の詳細ガイド - [Reddit Custom Audience Integration](https://docs.treasure.ai/ja/int/reddit-custom-audience-integration.md): Reddit広告向けのTreasure AIカスタムオーディエンス出力コネクタ。オーディエンスデータの統合とエクスポートを簡単に実現し、キャンペーンターゲティングを最適化。 - [Rtoaster インポート連携](https://docs.treasure.ai/ja/int/rtoaster-import-integration.md): Rtoaster のレコメンデーションログとコンバージョンログを、Treasure AI の SFTP コネクタを通じて簡単にインポートする方法を解説します。 - [Repro Export Integration](https://docs.treasure.ai/ja/int/repro-export-integration.md): Reproデータを簡単にAmazon S3にエクスポートできるTreasure AIの新しいコネクタ。カスタマイズ可能なパラメータと柔軟な設定で、データ連携を効率化します。 - [Repro Import Integration](https://docs.treasure.ai/ja/int/repro-import-integration.md): Reproインポート統合を使用して、Amazon S3からカスタマイズされたパラメータでデータを簡単に取り込み、Treasure AIに転送する方法を説明します。 - [Sailthru Export Integration From The Command Line](https://docs.treasure.ai/ja/int/sailthru-export-integration-from-the-command-line.md): Treasure AIのCLIを使用してSailthruにデータをエクスポートする方法を解説する技術ドキュメントページです。接続設定と必要な手順を詳しく説明します。 - [Riak CS Import Connector](https://docs.treasure.ai/ja/int/riak-cs-import-connector.md): Riak CSからTreasure AIへのデータインポート方法を解説。接続設定、Treasure コンソール、TD Toolbeltを使用したファイルインポートの手順を詳しく説明します。 - [Rokt Via SFTP Export Integration](https://docs.treasure.ai/ja/int/rokt-via-sftp-export-integration.md): Treasure AIのRokt SFTP連携で、カスタムオーディエンスとコンバージョンデータを安全に転送し、Eコマースのパーソナライゼーションを最適化する方法を解説します。 - [Ruby Apps Import Integration](https://docs.treasure.ai/ja/int/ruby-apps-import-integration.md): Rubyアプリケーションからサーバーサイドのログとイベントを、td-agentを使用してTreasure AIにシームレスにインポートする方法を説明します。インストール手順と設定方法を詳しく解説します。 - [Salesforce Dmp Krux Export Integration CLI](https://docs.treasure.ai/ja/int/salesforce-dmp-krux-export-integration-cli.md): Salesforce DMP Krux ExportをTD Toolbelt CLIでエクスポートする方法を、オンデマンドとスケジュールされたクエリジョブのステップバイステップの手順と構成で説明します。 - [Salesforce Commerce Cloud Site Cartridge Web Tracking Integration](https://docs.treasure.ai/ja/int/salesforce-commerce-cloud-site-cartridge-web-tracking-integration.md): Salesforce Commerce CloudでTreasure AIのウェブトラッキングを簡単に実装し、サイト全体のユーザーデータを収集するためのカートリッジ設定方法を説明します。 - [Salesforce DMP Krux インポート連携](https://docs.treasure.ai/ja/int/salesforce-dmp-krux-import-integration.md): Salesforce DMP Krux から Treasure AI へのデータインポート方法と、Cookie 同期の技術的な手順を解説する連携ガイドです。データエンリッチメントとセグメントマッピングに役立つ技術情報を提供します。 - [Salesforce Export Integration CLI](https://docs.treasure.ai/ja/int/salesforce-export-integration-cli.md): Salesforce Export Integration CLIを使用して、Treasure AIからSalesforceへのデータエクスポート方法を説明します。認証タイプや設定手順、サンプルユースケースを紹介します。 - [Sailthru Export Integration](https://docs.treasure.ai/ja/int/sailthru-export-integration.md): Sailthruとのデータ連携により、パーソナライズされたマーケティングキャンペーンを効率的に実施し、顧客体験を最適化できるTreasure AIの統合ソリューション。 - [Salesforce Import Integration CLI](https://docs.treasure.ai/ja/int/salesforce-import-integration-cli.md): Salesforceデータを簡単にTreasure AIにインポートするためのコマンドラインツールの設定方法を解説します。認証設定とCLIの使用手順を詳しく説明します。 - [Salesforce Commerce Cloud エクスポート連携](https://docs.treasure.ai/ja/int/salesforce-commerce-cloud-export-integration.md): Salesforce Commerce Cloudと連携し、顧客プロファイルをCustomer Listsに同期するTreasure AIのコネクタ機能を説明する技術文書です。APIクライアント設定や認証、データエクスポートの手順を解説します。 - [Salesforce Commerce Cloud インポート連携](https://docs.treasure.ai/ja/int/salesforce-commerce-cloud-import-integration.md): Salesforce Commerce Cloudからデータを簡単にインポートし、顧客情報、商品、在庫、カテゴリなどを統合できるTreasure AIの連携機能を解説します。 - [Salesforce Marketing Cloud Exacttarget Export Integration Legacy Beta](https://docs.treasure.ai/ja/int/salesforce-marketing-cloud-exacttarget-export-integration-legacy-beta.md): Treasure AIのSalesforce Marketing Cloud（ExactTarget）エクスポート統合の設定方法と、データセグメントを効果的にマーケティングに活用する手順を解説します。 - [Salesforce Dmp Krux Export Integration](https://docs.treasure.ai/ja/int/salesforce-dmp-krux-export-integration.md): Salesforce DMP Kruxへのセグメントエクスポートについて、Treasure AIの統合方法と要件を詳しく解説します。S3を通じたデータ連携の仕組みと注意点を説明します。 - [Salesforce Marketing Cloud Export Integration Using SFTP](https://docs.treasure.ai/ja/int/salesforce-marketing-cloud-export-integration-using-sftp.md): Salesforce Marketing CloudへのSFTP経由でのデータエクスポート方法を詳しく解説。接続設定、アカウント構成、キーとIVの取得手順を紹介します。 - [Salesforce Export Integration](https://docs.treasure.ai/ja/int/salesforce-export-integration.md): Salesforceエクスポート統合により、Treasure AIからSalesforceオブジェクトにデータを直接書き込むための設定と認証方法を説明します。 - [Salesforce Marketing Cloud Import Integration CLI V2](https://docs.treasure.ai/ja/int/salesforce-marketing-cloud-import-integration-cli-v2.md): Salesforce Marketing CloudからTreasure AIへデータをインポートするためのCLI設定方法を解説する技術文書です。設定ファイルの作成手順と必要な設定項目を詳しく説明します。 - [Salesforce Import Integration](https://docs.treasure.ai/ja/int/salesforce-import-integration.md): Salesforceデータを簡単にTreasure AIにインポートし、マーケティングとセールスオペレーションを最適化する統合ガイドです。 - [Salesforce Marketing Cloud Import Integration CLI](https://docs.treasure.ai/ja/int/salesforce-marketing-cloud-import-integration-cli.md): Salesforce Marketing Cloud からデータをインポートするための Treasure AI CLI コマンドの設定と使用方法を解説する技術ドキュメントページです。 - [Salesforce Marketing Cloud Import Integration V1](https://docs.treasure.ai/ja/int/salesforce-marketing-cloud-import-integration-v1.md): Salesforce Marketing Cloudからデータをインポートし、メールイベント、連絡先情報、キャンペーンデータを収集するためのTreasure AI統合方法を解説します。 - [Salesforce Legacy Export Integration](https://docs.treasure.ai/ja/int/salesforce-legacy-export-integration.md): Salesforce と Treasure AI の統合により、マーケティングとセールスのデータ管理を効率化し、顧客インサイトを向上させる方法を解説します。 - [Salesforce Marketing Cloud Import Integration V2](https://docs.treasure.ai/ja/int/salesforce-marketing-cloud-import-integration-v2.md): Salesforce Marketing Cloudからメールイベントや連絡先情報を、増分インポートやイベントタイプ別に、Treasure AIに簡単に取り込む方法を解説 - [Salesforce Marketing Cloud Exacttarget Export Integration Using SFTP Beta](https://docs.treasure.ai/ja/int/salesforce-marketing-cloud-exacttarget-export-integration-using-sftp-beta.md): Salesforce Marketing CloudのExactTargetエクスポート用SFTPインテグレーションの設定方法を詳しく解説する技術文書です。 - [Salesforce Marketing Cloud Import Integration Via AWS S3](https://docs.treasure.ai/ja/int/salesforce-marketing-cloud-import-integration-via-aws-s3.md): Salesforce Marketing CloudからAWS S3を介してTreasure AIにデータをインポートする方法を解説。データ統合、セグメンテーション、顧客エンゲージメント最適化のための技術ガイド。 - [Salesforce Marketing Cloud Streaming Import Integration](https://docs.treasure.ai/ja/int/salesforce-marketing-cloud-streaming-import-integration.md): Salesforce Marketing Cloudからのイベントデータを、ほぼリアルタイムでTreasure AIにストリーミングするための連携方法と設定手順を解説します。メール、SMS、イベントデータの取り込みが可能です。 - [Salesforce Marketing Cloud V2 Export Integration Using CLI](https://docs.treasure.ai/ja/int/salesforce-marketing-cloud-v2-export-integration-using-cli.md): Treasure CLIを使用してSalesforce Marketing Cloudにデータをエクスポートする方法を詳細に解説し、非同期APIとパッケージの設定例を紹介します。 - [Salesforce Marketing Cloud Output Data Streaming](https://docs.treasure.ai/ja/int/salesforce-marketing-cloud-output-data-streaming.md): Salesforce Marketing Cloudへのリアルタイムデータストリーミングを使用して、メール配信やカスタマージャーニーをトリガーする方法を解説する技術ドキュメント - [Salesforce Marketing Cloud V2 Export Integration](https://docs.treasure.ai/ja/int/salesforce-marketing-cloud-v2-export-integration.md): Salesforce Marketing CloudへのTreasure AIのデータ連携方法を解説。同期・非同期API、Data Extensionへのデータ追加・置換の仕組みを詳しく説明します。 - [Salesforce Pardot Export Integration](https://docs.treasure.ai/ja/int/salesforce-pardot-export-integration.md): Treasure AIからSalesforce Pardotへのデータエクスポート方法を解説。見込み客やリストメンバーシップの同期、APIの制限、認証手順を詳しく説明します。 - [SAP Marketing Cloud Import Integration](https://docs.treasure.ai/ja/int/sap-marketing-cloud-import-integration.md): SAP Marketing Cloudからデータを効率的にインポートする方法を説明します。増分読み込み、フィルタリング、認証設定について詳しく解説します。 - [CLIからのData Connectorジョブ実行のスケジュール設定](https://docs.treasure.ai/ja/int/scheduling-a-data-connector-job-execution-from-the-cli.md): CLIからData Connectorジョブのスケジュール設定方法を解説。cron形式での定期実行、インクリメンタルモード、タイムゾーン設定のポイントを説明します。 - [Segment Import Integration](https://docs.treasure.ai/ja/int/segment-import-integration.md): Segmentからデータを簡単にTreasure AIにインポートする方法を解説。データソースの設定、接続手順、リアルタイムデータ取り込みについて詳しく説明します。 - [Salesforce Pardot Import Integration](https://docs.treasure.ai/ja/int/salesforce-pardot-import-integration.md): Salesforce PardotからTreasure AIへのデータインポート連携について、B2Bマーケティング自動化ツールのデータ連携と活用方法を解説する技術文書です。 - [Salesforce SFDC Legacy Import Integration](https://docs.treasure.ai/ja/int/salesforce-sfdc-legacy-import-integration.md): Salesforceデータを簡単にTreasure AIにインポートし、マーケティングとセールスオペレーションを最適化する統合ガイド。 - [SendGrid Output Streaming Integration](https://docs.treasure.ai/ja/int/sendgrid-output-streaming-integration.md): Treasure AIから SendGrid へのリアルタイムメール送信連携の設定方法と要件について解説する技術文書ページです。メール送信のワークフローと制限事項を説明します。 - [Sansan Data Hub エクスポートインテグレーション](https://docs.treasure.ai/ja/int/sansan-data-hub-export-integration.md): Treasure AIからSansan Data Hubへのデータエクスポートを支援する、簡単で効率的なインテグレーション方法を説明します。 - [Sansan Data Hub インポート連携](https://docs.treasure.ai/ja/int/sansan-data-hub-import-integration.md): Sansan Data Hubからデータをインポートし、Treasure AIで顧客情報を統合・活用するための連携手順を解説します。認証、ソース作成、データ転送の詳細な手順を説明します。 - [Sansan インポートインテグレーション](https://docs.treasure.ai/ja/int/sansan-import-integration.md): Sansanの名刺データをTreasure AIにインポートし、分類とタグ付けを行うための詳細なステップバイステップガイドです。APIキーの取得から接続設定まで解説します。 - [SAP Marketing Cloud Export Integration](https://docs.treasure.ai/ja/int/sap-marketing-cloud-export-integration.md): SAP Marketing Cloudとのデータ統合方法を解説。ODataプロトコルを使用した連絡先管理、ターゲットグループ設定、インタラクション管理の手順を詳しく説明します。 - [Scala Apps Import Integration](https://docs.treasure.ai/ja/int/scala-apps-import-integration.md): Scala アプリケーションからTreasure AIへのデータインポート方法を解説。td-agentのインストール手順と、サーバー側のログ収集について詳しく説明します。 - [Selligent Export Integration](https://docs.treasure.ai/ja/int/selligent-export-integration.md): Treasure AIからSelligentの静的セグメントに顧客データをエクスポートし、オムニチャネルマーケティング自動化とキャンペーンのアクティベーションを実現します。 - [Sendgrid Export Integration](https://docs.treasure.ai/ja/int/sendgrid-export-integration.md): Sendgridとの統合により、Treasure AIから簡単にメールキャンペーン用のプロファイルセグメントをエクスポートする方法を説明します。APIキーの取得と使用方法を解説。 - [SendGrid Import Integration](https://docs.treasure.ai/ja/int/sendgrid-import-integration.md): SendGridとTreasure AIを連携し、メールキャンペーンのコンタクトやパフォーマンスデータを簡単にインポートする方法を解説します。APIキーを使用して、コンタクト情報や応答イベントを収集できます。 - [SFTP Server Export Integration](https://docs.treasure.ai/ja/int/sftp-server-export-integration.md): Treasure AIのワークフロージョブ結果をSFTPサーバーに直接エクスポートする方法を解説。接続設定、認証方法、制限事項について詳しく説明します。 - [SFTP Server Import Integration](https://docs.treasure.ai/ja/int/sftp-server-import-integration.md): SFTPサーバーからTreasure AIへのファイルインポート方法を説明する、SFTP Data Connectorの技術文書ページです。接続設定、制限事項、インポート手順を解説します。 - [SFTP V2サーバーエクスポートインテグレーション](https://docs.treasure.ai/ja/int/sftp_v2-server-export-integration.md): Treasure AIのSFTP V2サーバーエクスポートインテグレーションで、安全にデータをSFTPサーバーにアップロードする方法を解説します。複数のファイル形式と圧縮オプションに対応。 - [Shopify Export Integration V2](https://docs.treasure.ai/ja/int/shopify-export-integration-v2.md): Shopify Export Connector V2の詳細。GraphQL Admin APIを使用したメタフィールドの効率的な作成・更新、複数リソースタイプのサポート、高度な機能を解説。 - [Shopify Import Custom Query Integration V2](https://docs.treasure.ai/ja/int/shopify-import-custom-query-integration-v2.md): Shopify Import Custom Query Integration V2の高度なカスタムクエリ機能について、GraphQL Admin APIを使用したデータインポートの詳細と要件を解説します。 - [Shopify Import Integration CLI](https://docs.treasure.ai/ja/int/shopify-import-integration-cli.md): Shopify Import Integration CLIを使用して、Treasure CLIでShopifyデータを簡単にインポートする方法を説明します。API認証情報の設定と、製品や注文データの取得方法を解説します。 - [SFTP V2サーバーインポートインテグレーション](https://docs.treasure.ai/ja/int/sftp_v2-server-import-integration.md): SFTP V2サーバーからTreasure AIへのファイルインポートに関する技術的な設定と手順を詳細に解説します。接続方法、認証、制限事項を網羅しています。 - [Shopify Import Integration](https://docs.treasure.ai/ja/int/shopify-import-integration.md): Shopifyデータコネクタを使用して、Shopifyストアからデータを簡単にTreasure AIにインポートする方法を解説します。認証、接続設定、データ転送の手順を詳しく説明します。 - [Shopify Import Integration V2](https://docs.treasure.ai/ja/int/shopify-import-integration-v2.md): Shopify Import Connector V2の機能と特徴を解説。GraphQL Admin APIに対応し、製品、バリアント、メタフィールドのインポートを効率的に実行できる新しいコネクタです。 - [Sizmek Import Integration](https://docs.treasure.ai/ja/int/sizmek-import-integration.md): Sizmekの広告サーバーログから非集計イベントデータを直接Treasure AIにインポートし、キャンペーンパフォーマンスを詳細に分析する方法を解説します。 - [Shopify Export Integration CLI](https://docs.treasure.ai/ja/int/shopify-export-integration-cli.md): Shopify Export Integration CLIを使用して、Treasure AIからShopifyにメタフィールドデータをエクスポートする方法と制限事項を説明します。 - [Shopify Export Integration](https://docs.treasure.ai/ja/int/shopify-export-integration.md): Shopifyメタフィールドデータをエクスポートするための、Treasure AIのShopify Export Integrationコネクタの設定手順を解説します。 - [Sprinklr Import Integration](https://docs.treasure.ai/ja/int/sprinklr-import-integration.md): Sprinklrインポート連携で、プロファイルデータをTreasure AIに簡単にインポートし、顧客の単一ビューを取得する方法を説明します。インクリメンタルデータロードと前提条件を詳しく解説。 - [Snapchat Conversions API エクスポートインテグレーション](https://docs.treasure.ai/ja/int/snapchat-conversions-api-export-integration.md): Snapchat Conversions API を使用して、Web、モバイル、オフラインのコンバージョンイベントを効果的にトラッキングし、広告パフォーマンスを最適化する方法を解説します。 - [Snowflake Import Integration](https://docs.treasure.ai/ja/int/snowflake-import-integration.md): Snowflakeからデータをインポートする方法を詳しく解説。認証方法、接続設定、データ転送の手順を日本語で説明します。 - [Snapchat Export Integration](https://docs.treasure.ai/ja/int/snapchat-export-integration.md): Snapchatへのデータエクスポートを簡単に設定。ユーザーセグメントの作成、追加、削除が可能なTreasure AI連携ガイド。 - [Snapchat Import Integration](https://docs.treasure.ai/ja/int/snapchat-import-integration.md): Snapchat広告データをTreasure AIにインポートする方法を解説。リード生成レポートのインポート手順、認証、制限事項を詳しく説明します。 - [Stripe Import Integration](https://docs.treasure.ai/ja/int/stripe-import-integration.md): Stripeデータを簡単にTreasure AIにインポートする方法を解説。OAuth認証、接続設定、データ転送の手順を詳しく説明します。 - [Tableau連携アーキテクチャ](https://docs.treasure.ai/ja/int/tableau-architecture-for-integrations.md): Tableau連携で、新しいデータソースからTableauへのインサイト活用を可能にする、Treasure AIのリファレンスアーキテクチャを解説します。 - [Snowflake Bulk Unloading インポート インテグレーション](https://docs.treasure.ai/ja/int/snowflake-bulk-unloading-import-integration.md): Snowflakeから大規模データセットを高速にTreasure AIへインポートする、Bulk Unloadingインテグレーションの設定方法を解説します。最大300%のパフォーマンス向上を実現する技術的な接続ガイドです。 - [Snowflake Export Integration](https://docs.treasure.ai/ja/int/snowflake-export-integration.md): Treasure AIからSnowflakeへのデータエクスポート方法を解説。認証方法、接続設定、前提条件など、Snowflakeインテグレーションの詳細な手順を紹介します。 - [Tableau Desktop For Mac](https://docs.treasure.ai/ja/int/tableau-desktop-for-mac.md): Mac上のTableau DesktopからTreasure AIに接続し、Prestoを使用してデータを探索する方法を解説します。JDBCドライバーのインストール手順と接続設定を詳しく説明します。 - [Tableau Desktop For Windows Import Integration](https://docs.treasure.ai/ja/int/tableau-desktop-for-windows-import-integration.md): Tableau DesktopでTreasure AIのデータを簡単にインポートし、インタラクティブに分析する方法を解説します。Presto/Trinoエンドポイントへの接続手順と、データ可視化のためのヒントを紹介します。 - [Tableau Server Export Integration CLI](https://docs.treasure.ai/ja/int/tableau-server-export-integration-cli.md): Tableau Serverへのデータエクスポート用CLI。ユーザー名/パスワードおよびPAT認証を使用して、クエリ結果を簡単にTableau Serverにエクスポートする方法を説明します。 - [Supership Export Integration](https://docs.treasure.ai/ja/int/supership-export-integration.md): Treasure AIからSupershipへのユーザーリストエクスポート方法を解説する技術ドキュメントページです。データ連携の手順と設定方法を詳しく説明しています。 - [Talend Open Studio](https://docs.treasure.ai/ja/int/talend-open-studio.md): Talend Open StudioとTreasure AIを連携し、JDBCドライバを使ってクラウド上でビッグデータを効率的に処理する方法を解説します。 - [Teradata エクスポートインテグレーション](https://docs.treasure.ai/ja/int/teradata-export-integration.md): Treasure AIからTeradataサーバーへのデータエクスポートに関する詳細なステップバイステップガイド。接続設定、認証、エクスポート手順を日本語で解説します。 - [Teradata Import Integration](https://docs.treasure.ai/ja/int/teradata-import-integration.md): Teradata統合を使用してTreasure AIにデータをインポートする方法を説明する技術ドキュメントページです。接続設定、クエリ検証、データ転送の手順を解説します。 - [Terrasky Skyondemand](https://docs.treasure.ai/ja/int/terrasky-skyondemand.md): Treasure AIとTerraSky SkyOnDemandの統合方法を解説。クラウドツールとサービスの連携について詳しく説明します。 - [Tableau Cloud Export Integration](https://docs.treasure.ai/ja/int/tableau-cloud-export-integration.md): Tableau CloudとTreasure AIを連携し、大量のデータをインタラクティブに探索・共有するための統合ガイドです。前提条件、制限事項、エクスポートワークフローを解説します。 - [Tableau Server Export Integration](https://docs.treasure.ai/ja/int/tableau-server-export-integration.md): Tableau ServerとTreasure AIを連携し、大量のデータをインタラクティブに探索・共有するための統合ガイドです。前提条件、制限事項、エクスポート方法を解説します。 - [Taboola Export Integration](https://docs.treasure.ai/ja/int/taboola-export-integration.md): Taboolaの広告プラットフォームにオーディエンスデータをエクスポートするためのOutput Connectorの設定方法と、ファーストパーティオーディエンスの作成手順を解説します。 - [CLIを使用したThe Trade Deskインポート連携](https://docs.treasure.ai/ja/int/the-trade-desk-import-integration-using-cli.md): Treasure AI CLIを使用してThe Trade Deskからデータをインポートする方法を詳細に解説。広告主、キャンペーン、データグループ、トラッキングタグの連携手順を説明。 - [Treasure AI IoT インテグレーション](https://docs.treasure.ai/ja/int/treasure-data-internet-of-things-integrations.md): IoTデバイスのデータ収集と分析を効率化するTreasure AIのインテグレーション。Arduino、Raspberry Pi、Mbedなど多様なプラットフォームに対応。 - [The Trade Desk CRM Data Integration](https://docs.treasure.ai/ja/int/the-trade-desk-crm-data-integration.md): The Trade Deskへのデータ連携方法を解説。CRMデータのエクスポート、広告キャンペーンでの活用、APIを使ったファーストパーティデータ同期の手順を紹介します。 - [The Trade Desk Export Integration](https://docs.treasure.ai/ja/int/the-trade-desk-export-integration.md): Treasure AIからThe Trade Deskへのデータエクスポート方法を解説。Cookie同期、セグメント変換、DSPターゲティングの詳細な統合ガイドを提供します。 - [The Trade Desk Import Integration](https://docs.treasure.ai/ja/int/the-trade-desk-import-integration.md): The Trade Deskからデータをインポートし、Treasure AIで広告キャンペーンのデータを簡単に管理・分析できる統合ガイドです。認証、データ転送、ソースの設定方法を解説します。 - [Twitter Tweet Insights Import Integration](https://docs.treasure.ai/ja/int/twitter-tweet-insights-import-integration.md): TwitterからTweets、Retweets、Follower IDsなどをTreasure AIにインポートするための設定手順と認証方法を解説します。Twitter API v1.1を使用した統合方法を詳しく説明します。 - [Unified ID 2.0 Workflow](https://docs.treasure.ai/ja/int/uid2-workflow.md): Treasure AI で UID2 ワークフローを設定し、メールアドレスや電話番号を広告エコシステム向けのプライバシーセーフな識別子に変換する技術的手順を解説します。 - [Unity SDK For PC](https://docs.treasure.ai/ja/int/unity-sdk-for-pc.md): Unity SDKを使用してTreasure AIにデータを送信する方法を解説。PC向けUnityアプリでのデータ追跡とGDPRコンプライアンスについて詳しく説明します。 - [Treasure AI Unity SDK API リファレンス](https://docs.treasure.ai/ja/int/unity-sdk-api.md) - [TikTok Events Export Integration](https://docs.treasure.ai/ja/int/tiktok-events-export-integration.md): TikTokイベントデータをTreasure AIから簡単にエクスポートし、広告キャンペーンの効果を最適化するためのネイティブコネクタの詳細ガイド。Web、アプリ、オフラインイベントの同期方法を解説。 - [TikTok Marketing API Export Integration](https://docs.treasure.ai/ja/int/tiktok-marketing-api-export-integration.md): TikTok Marketing APIを使用して、Treasure AIから直接カスタムオーディエンスを作成し、ターゲティング広告を最適化する方法を説明します。 - [Treasure AI Data Exchange Export Integration](https://docs.treasure.ai/ja/int/treasure-data-data-exchange-export-integration.md): Treasure AIのデータ交換エクスポート統合について、アカウント間でのデータ転送方法と設定手順を解説する技術文書です。 - [Unity Sdk](https://docs.treasure.ai/ja/int/unity-sdk.md): Unity SDKを使用してUnityアプリからTreasure AIにデータを送信する方法を解説。GDPRコンプライアンスとプライバシー設定、インストール手順、初期化方法を詳しく説明します。 - [FAnalyticsProviderTreasureData](https://docs.treasure.ai/ja/int/unreal-engine-sdk-api.md): Unreal Engine向けTreasure AIアナリティクスプロバイダーの使用方法と、イベント追跡のためのSDKの主要機能を解説する技術文書です。 - [Unreal Engine SDK Import Integration](https://docs.treasure.ai/ja/int/unreal-engine-sdk-import-integration.md): Unreal Engine SDKを使用してTreasure AIにデータを送信する方法を解説。プラグインのダウンロード、配置、ビルド手順を詳しく説明します。 - [Twitter Custom Audience Export Integration](https://docs.treasure.ai/ja/int/twitter-custom-audience-export-integration.md): Treasure AIからTwitter Custom Audienceへのデータエクスポート方法を解説。オーディエンスセグメント作成と連携の手順を詳しく説明します。 - [TD Toolbelt を使用してクエリ結果を出力する](https://docs.treasure.ai/ja/int/using-the-cli-to-output-query-results.md): TD Toolbeltを使用してクエリ結果をMongoDBに出力する方法を解説。オンデマンドとスケジュールされたジョブの設定方法を詳しく説明。 - [TD IntegrationsでTreasure ワークフローを使用する](https://docs.treasure.ai/ja/int/using-td-workflow-with-td-integrations.md): Treasure Workflowを使用して、TD Integrationsでデータのインポートとエクスポートを簡単に自動化する方法を解説します。YAMLベースの設定で効率的なデータパイプラインを構築できます。 - [WEBCASエクスポートインテグレーション](https://docs.treasure.ai/ja/int/webcas-export-integration.md): Treasure AIからWEBCASへのユーザーセグメントエクスポート方法を解説。データドリブンなメールキャンペーンを実現する連携手順を紹介。 - [Webhook Output Streaming Integration](https://docs.treasure.ai/ja/int/webhook-output-streaming-integration.md): Treasure AIのリアルタイムストリーミングを使用したWebhook出力統合の設定方法と、サードパーティサービスへのデータ連携手順を解説 - [VTEX Import Integrations](https://docs.treasure.ai/ja/int/vtex-import-integrations.md): VTEX eCommerceプラットフォームからTreasure AIへの顧客情報と注文データのインポート方法を解説。増分ロードの仕組みと設定手順を詳しく説明します。 - [Web Server and HTTP Put Endpoint Export Integration](https://docs.treasure.ai/ja/int/web-server-and-http-put-endpoint-export-integration.md): Treasure AIからWebサーバーやHTTP APIにクエリ結果を直接書き出す方法を解説。接続設定、エクスポート手順、パラメータ設定について詳しく説明します。 - [WhatsApp Messenger App Export Via ADA](https://docs.treasure.ai/ja/int/whatsapp-messenger-app-export-via-ada.md): Treasure AIとADA Asiaの連携により、WhatsAppへのメッセージ送信を可能にするワークフロー設定方法と技術的な制限事項を解説します。 - [Zapier Import Integration](https://docs.treasure.ai/ja/int/zapier-import-integration.md): Zapier を使用して Google Sheets から Treasure AI へデータをインポートする方法を解説。簡単な webhook 連携で、サポートされていないデータソースからも分析用にデータを取り込めます。 - [WhatsApp Business Messaging Export Integration](https://docs.treasure.ai/ja/int/whatsapp-business-messaging-export-integration.md): Treasure AIアクティベーションを使用して顧客にWhatsAppメッセージを送信 - [Zendesk Export Integration CLI](https://docs.treasure.ai/ja/int/zendesk-export-integration-cli.md): Zendesk SunshineへのデータエクスポートをCLI（TD Toolbelt）で実現する方法を解説。接続設定、認証方法、エクスポート先の詳細を説明します。 - [Yahoo 広告コンバージョンエクスポート連携 v2](https://docs.treasure.ai/ja/int/yahoo-ads-conversion-export-integration-v2.md): Treasure AI から Yahoo 広告コンバージョン API v2 にコンバージョンデータをエクスポートします。認証の簡素化と設定オプションの強化を実現。 - [Yahoo 広告コンバージョンエクスポート連携](https://docs.treasure.ai/ja/int/yahoo-ads-conversion-export-integration.md): Treasure AI から Yahoo 広告コンバージョン API（v1）にコンバージョンデータをエクスポートします。この API は 2025 年 6 月 30 日に廃止されました。新規連携には v2 を使用してください。 - [Yahoo Audience Discovery Export Integration](https://docs.treasure.ai/ja/int/yahoo-audience-discovery-export-integration.md): Yahoo! JAPAN Audience Discoveryへのデータエクスポート方法を解説し、Brand IDを使用した連携設定の手順を詳しく説明します。 - [Yahoo Export Integration](https://docs.treasure.ai/ja/int/yahoo-export-integration.md): Yahoo!広告のターゲティングに最適な顧客セグメントをエクスポートし、Partnermatch APIを使用してユーザーIDと属性を同期する方法を説明します。 - [Yahoo Japan Ads エクスポートインテグレーション](https://docs.treasure.ai/ja/int/yahoo-japan-ads-export-integration.md): Yahoo! JAPAN Adsへのデータエクスポートで、ユーザーセグメントを活用したターゲティング広告キャンペーンを効果的に設定する方法を解説します。 - [Yahoo Japan Ads V2 Export Integration](https://docs.treasure.ai/ja/int/yahoo-japan-ads-v2-export-integration.md): Treasure AIからYahoo! JAPAN Adsへのオーディエンスリストエクスポート方法を解説。データ連携の設定手順と注意点を詳しく説明します。 - [Zuora Import Integration](https://docs.treasure.ai/ja/int/zuora-import-integration.md): Zuora Import IntegrationでTreasure AIにデータをインポートする方法を解説。ZuoraのSOAP APIを使用し、アカウントや請求書などのデータソースを簡単に転送できます。 - [Treasure コンソールのブラウザサポート](https://docs.treasure.ai/ja/requirements-and-limitations/browser-support-for-td-console.md): Treasure コンソールがサポートするブラウザとブラウザバージョン、および各サポートレベル。 - [Yelp Conversions API エクスポート連携](https://docs.treasure.ai/ja/int/yelp-conversions-api-export-integration.md): Treasure AI から Yelp Conversions API にオフライン/サーバーサイドのコンバージョンイベントデータをエクスポートします。PII の自動ハッシュ化とデータ正規化を実現。 - [Yotpo Import Integration](https://docs.treasure.ai/ja/int/yotpo-import-integration.md): Yotpoレビューをインポートし、Treasure AIで顧客フィードバックを分析するためのシンプルな統合ガイド。eコマースサイトからのレビュー収集と分析を効率化します。 - [Youtube Analytics Import Integration](https://docs.treasure.ai/ja/int/youtube-analytics-import-integration.md): YouTube AnalyticsデータをTreasure AI Customer Data Platformに簡単に取り込む方法を説明します。OAuth認証や接続設定、レポートタイプの選択方法を解説します。 - [データ保持ポリシー](https://docs.treasure.ai/ja/requirements-and-limitations/data-retention-policy.md): Treasure AI がクエリ結果、バルクインポートセッション、テーブル、レコード、アカウント、ジョブ履歴、ワークフローデータを保持する期間。 - [Zendesk Export Integration](https://docs.treasure.ai/ja/int/zendesk-export-integration.md): Zendesk Sunshine への Events データのエクスポート方法と、必要な列や制限事項について詳しく解説する統合ガイドです。 - [Treasure AI の上限値（MAX）一覧](https://docs.treasure.ai/ja/requirements-and-limitations/list-of-upper-limits-max-on-treasure-data.md): 名前、カラム、ジョブ、API 制限など、Treasure AI エンティティに関してよく問い合わせのある上限値と最大値の一覧です。 - [Zendesk Import Integration](https://docs.treasure.ai/ja/int/zendesk-import-integration.md): Treasure AIでZendeskのデータを簡単にインポートする方法を解説。認証方法、データ転送、Chatデータのインポートについて詳しく説明します。 - [Treasure AI エンティティの命名要件と制限事項](https://docs.treasure.ai/ja/requirements-and-limitations/naming-requirements-and-restrictions-for-treasure-data-entities.md): テーブル、データベース、カラム、パスワード、ユーザー、ワークフローなど、Treasure AI エンティティの命名規則と文字数制限。 - [要件とサポート対象技術](https://docs.treasure.ai/ja/requirements-and-limitations/requirements-and-supported-technology.md): Treasure AI の要件、サポート対象ブラウザ、上限値、命名規則、クエリエンジンバージョンの概要。 - [サポートされているHiveとPrestoクエリエンジンのバージョン](https://docs.treasure.ai/ja/requirements-and-limitations/supported-hive-and-presto-query-engine-versions.md): Treasure AI がサポートする Hive および Presto（Trino）クエリエンジンのバージョンと、TD クエリエンジンのリリース番号について。 - [Treasure ワークフローの前提条件と制限事項](https://docs.treasure.ai/ja/requirements-and-limitations/treasure-workflow-prerequisites-and-limitations.md): Treasure AI ワークフローの前提条件、サポートされていない Digdag 機能、およびサービス制限。 - [Treasure サポートについて](https://docs.treasure.ai/ja/support/about-treasure-data-support.md): Treasure AIのサポートサービスについて、お問い合わせ方法やトラブルシューティングのヒントを説明するページです。 - [Treasure サポートへのお問い合わせ](https://docs.treasure.ai/ja/support/contacting-treasure-data-support.md): Treasure サポートへの問い合わせ方法と、各サポートティアで利用可能なコミュニケーションチャネルについてご案内します。 - [トラブルシューティング用のHARファイルの作成](https://docs.treasure.ai/ja/support/creating-har-files-for-troubleshooting.md): Treasure AIのトラブルシューティングに役立つHARファイルの作成方法を、ブラウザ別に詳しく解説します。サポートに送信する手順を紹介。 - [Treasure AIのアカウントIDとアカウント名の確認](https://docs.treasure.ai/ja/support/finding-your-treasure-data-account-id-and-account-name.md): Treasure AIコンソールでアカウントのユニークな識別子を簡単に見つける方法を解説。アカウントID、アカウント名の確認手順を詳しく説明します。 - [サービスステータスダッシュボード](https://docs.treasure.ai/ja/support/service-status-dashboard.md): Treasure AIのサービスステータスを確認できるダッシュボード。稼働時間、APIの応答時間、インシデント情報を提供し、通知を購読可能です。 - [Tools](https://docs.treasure.ai/ja/tools.md) - [HIPAAサポートによる患者データの保護について](https://docs.treasure.ai/ja/trust/about-securing-patient-data-with-hipaa-support.md): ロールベースのアクセス制御、暗号化、監査ログを含むTreasure AIのHIPAAサポートによる患者データの保護について説明します。 - [Treasureプロトコルとセキュリティへの取り組みについて](https://docs.treasure.ai/ja/trust/about-td-protocols-and-our-commitment-to-security.md): Treasure AIのセキュリティプロトコル、HTTPSデフォルト設定、顧客データ保護への取り組みについて説明します。 - [GDPR対応のJavaScript SDKとモバイルSDK 2018](https://docs.treasure.ai/ja/trust/gdpr-ready-javascript-sdk-and-mobile-sdks-2018.md): データプライバシー準拠のためのTreasure AIのJavaScript、Android、Unity、iOS SDKのGDPR対応アップデートの詳細を説明します。 - [Treasure AIのTrust and Security Centerへのアクセス](https://docs.treasure.ai/ja/trust/accessing-treasure-data-s-trust-and-security-center.md): セキュリティドキュメント、コンプライアンスレポートなどのためにTreasure AIのTrust and Security Centerにアクセスする方法を説明します。 - [Treasure AIにおけるGDPRサポート](https://docs.treasure.ai/ja/trust/gdpr-support-in-treasure-data.md): データ保持ポリシー、SDKコントロール、EUエンドポイントなどを通じてTreasure AIがGDPR準拠を支援する方法を説明します。 - [CDP向けTreasure AI Trustについて](https://docs.treasure.ai/ja/trust.md): データガバナンス、セキュリティ管理、プライバシー管理、セキュアなインフラストラクチャを含むTreasure AIのTrust for CDP基盤について説明します。 - [Go Client for TD-API](https://docs.treasure.ai/apis/td-api/td-client/td-client-go.md): Learn how to use the Go programming language client library for Treasure API. List databases and tables, issue queries, and check job status. - [スケールと信頼](https://docs.treasure.ai/ja/trust/scale-and-trust.md): Treasure AIのCustomer Data Platformにおけるセキュリティ、スケーラビリティ、権限機能の概要を説明します。 - [Treasure AI JavaScript SDKデータプライバシー](https://docs.treasure.ai/ja/trust/treasure-data-javascript-sdk-data-privacy.md): イベントブロック、サインドモード、アノニマスモードなど、GDPR準拠のためのTreasure AIのJavaScript SDKデータプライバシーメソッドについて説明します。 - [Java Client for TD-API](https://docs.treasure.ai/apis/td-api/td-client/td-client-java.md): Learn how to use the Java client library for Treasure API. Submit Hive and Trino queries, check job status, retrieve results, and perform bulk imports. - [Node.js Client for TD-API](https://docs.treasure.ai/apis/td-api/td-client/td-client-node.md): Learn how to use the Node.js client library for Treasure API. List databases and tables, issue Hive queries, and manage jobs programmatically. - [Python Client for TD-API](https://docs.treasure.ai/apis/td-api/td-client/td-client-python.md): Learn how to use the Python client library (td-client) for Treasure API. List databases, issue queries, manage jobs, and import data via streaming or bulk import. - [Ruby Client for TD-API](https://docs.treasure.ai/apis/td-api/td-client/td-client-ruby.md): Learn how to use the Ruby client library for Treasure API. List databases and tables, issue queries, manage jobs, and configure advanced options like proxies and timeouts. - [Project Instructions](https://docs.treasure.ai/blog/images/ai-slide-design-consistency/claude.md) - [Sample Prompt for Screenshot](https://docs.treasure.ai/blog/images/ai-slide-design-consistency/sample-prompt.md) - [Slide Design Standards](https://docs.treasure.ai/blog/images/ai-slide-design-consistency/slide-style.md) - [Auto-Titled Conversations](https://docs.treasure.ai/products/ai-studio/chat/chat-auto-titling.md): Treasure AI Studio automatically titles your conversations from the first exchange, keeping your chat list organized without manual filing or tagging. - [Chat Persistence & History](https://docs.treasure.ai/products/ai-studio/chat/chat-history.md): Every conversation in Treasure AI Studio is saved server-side automatically. Search, rename, and manage your chat history across Web, Desktop, and Mobile. - [AI Chat Interface](https://docs.treasure.ai/products/ai-studio/chat/chat.md): Send messages, watch the AI execute queries, search the web, and build segments in real time in Treasure AI Studio, with inline tool calls and file attachments. - [In-Session Memory](https://docs.treasure.ai/products/ai-studio/chat/in-session-memory.md): Understand how Treasure AI Studio automatically compacts long conversations to manage the AI's context window — no manual commands or configuration required. - [Voice Input](https://docs.treasure.ai/products/ai-studio/chat/voice-input.md): Use voice input in Treasure AI Studio to dictate messages on Web, Desktop (macOS), or Mobile. Speak naturally, review the transcript, and send without typing. - [Treasure AI Studio - Core Concepts](https://docs.treasure.ai/products/ai-studio/concepts.md): Understand the four building blocks of Treasure AI Studio — work folders, AI model tiers, credits, and the context window — for faster, cheaper sessions. - [Treasure AI Studio - Agent Orchestrator](https://docs.treasure.ai/products/ai-studio/concepts/orchestrator.md): Learn how Treasure AI Studio breaks requests into steps, selects tools, and assembles results — so you can write better prompts and debug unexpected output. - [Work Folders in Treasure AI Studio](https://docs.treasure.ai/products/ai-studio/concepts/work-folders.md): Learn how work folders group chats and files in Treasure AI Studio, how your default folder decides where new chats are saved, and how to change it. - [Treasure AI Studio - Connect Databricks](https://docs.treasure.ai/products/ai-studio/connections/databricks.md): Connect Treasure AI Studio to Databricks so agents can explore and visualize your lakehouse data. Set up the Databricks OAuth application, configure the connector, and authorize your connection. - [Treasure AI Studio - Connect GitHub](https://docs.treasure.ai/products/ai-studio/connections/github.md): Install the Treasure AI GitHub Integration App and authorize a connection so Treasure AI Studio agents can work with your code, issues, and pull requests. - [Treasure AI Studio - Connections](https://docs.treasure.ai/products/ai-studio/connections.md): Connect external services to Treasure AI Studio so agents can access them on your behalf. Learn how administrators configure connectors and how users authorize connections via OAuth. - [Treasure AI Studio - Connect Snowflake](https://docs.treasure.ai/products/ai-studio/connections/snowflake.md): Connect Treasure AI Studio to Snowflake so agents can explore and visualize your warehouse data. Create the Snowflake OAuth security integration, configure the connector, and authorize your connection. - [Treasure AI Studio - Connect Treasure Data CDP](https://docs.treasure.ai/products/ai-studio/connections/treasure-data.md): Connect Treasure AI Studio to Treasure Data CDP so agents can run queries, workflows, and audience segments on your behalf through a secure OAuth connection. - [Treasure AI Studio - Credit Policy](https://docs.treasure.ai/products/ai-studio/credits/credit-policy.md): Set a per-user daily credit limit in Treasure AI Studio and choose the account timezone that controls when the daily limit resets. - [Treasure AI Studio - Credit Usage Dashboard](https://docs.treasure.ai/products/ai-studio/credits/credit-usage.md): Monitor how your organization consumes Treasure AI Studio credits. The Credit Usage dashboard breaks down daily credit consumption per user over a selectable time window. - [Treasure AI Studio - File Output (PPTX, DOCX, PDF, XLSX)](https://docs.treasure.ai/products/ai-studio/files/artifacts.md): Ask the AI to generate presentation decks, Word documents, PDF reports, and Excel spreadsheets — then preview and download them without leaving the conversation. - [Treasure AI Studio - File Upload, Download & Work Folders](https://docs.treasure.ai/products/ai-studio/files/file-upload-download.md): Upload files to give the AI context for analysis, download AI-generated reports and datasets, and organize the files inside each work folder. - [Treasure AI Studio - File Viewers](https://docs.treasure.ai/products/ai-studio/files/file-viewers.md): Built-in viewers for PDFs, spreadsheets, presentations, documents, images, code, HTML, journey canvases, and more — view AI-generated and uploaded files directly in Studio. - [Treasure AI Studio - Getting Started](https://docs.treasure.ai/products/ai-studio/getting-started.md): Go from zero to your first AI-assisted query in under five minutes on Web, Mac Desktop, or iOS Mobile. - [Treasure AI Studio - Workflows for Data Analysts](https://docs.treasure.ai/products/ai-studio/getting-started/workflow-data-analyst.md): How a data analyst uses Treasure AI Studio to go from an open-ended question to validated queries, charts, and exportable deliverables in one conversation. - [Treasure AI Studio - Workflows for Marketers](https://docs.treasure.ai/products/ai-studio/getting-started/workflow-marketer.md): How a marketer builds an end-to-end campaign in Treasure AI Studio — from audience to journey to email activations — in a single conversation. - [Treasure AI Studio - Query Execution (Trino)](https://docs.treasure.ai/products/ai-studio/query/query-execution.md): Run Trino SQL queries through natural language. The AI writes, executes, and renders results as structured tables. - [Treasure AI Studio - Query Result Tables](https://docs.treasure.ai/products/ai-studio/query/query-results.md): Understand how Studio renders Trino query results as structured tables with typed columns, formatted values, execution stats, and error diagnostics. - [Treasure AI Studio - TDX Commands (Server-Side CLI)](https://docs.treasure.ai/products/ai-studio/query/tdx-commands.md): The full tdx CLI runs inside Studio's server-side sandbox. Query databases, manage segments, validate journeys, and inspect API responses — all through the AI chat. - [Access Control in Treasure AI Studio](https://docs.treasure.ai/products/ai-studio/security/access-control.md): How Treasure AI permissions, IP allowlists, and per-user access govern what Treasure AI Studio agents can do, and which controls live in Studio itself. - [Chat Data Retention in Treasure AI Studio](https://docs.treasure.ai/products/ai-studio/security/data-retention.md): Set how long Treasure AI Studio keeps chat history before automatic deletion — 14, 28, or 60 days — and understand what the period does and does not cover. - [Treasure AI Studio Security Overview](https://docs.treasure.ai/products/ai-studio/security.md): How Treasure AI Studio protects your data: per-chat sandbox isolation, credential isolation, LLM data residency by region, and admin controls over agents. - [Network Audit Log in Treasure AI Studio](https://docs.treasure.ai/products/ai-studio/security/network-audit-log.md): Review the outbound connections Treasure AI Studio agents made by domain, user, chat, and allow or block outcome, and trace each back to its chat. - [Network Policy in Treasure AI Studio](https://docs.treasure.ai/products/ai-studio/security/network-policy.md): Control which external domains Treasure AI Studio agents can reach. Configure ordered allow and block rules plus a default action for unmatched requests. - [SSO Login in Treasure AI Studio](https://docs.treasure.ai/products/ai-studio/security/sso-login.md): Sign in to Treasure AI Studio with your Treasure AI SSO credentials on Web, Desktop, and iOS — regions, OAuth with PKCE, session refresh, and signing out. - [Treasure AI Studio - Plugin Marketplace](https://docs.treasure.ai/products/ai-studio/skills/marketplace.md): Register GitHub-hosted skill marketplaces in Treasure AI Studio, enable plugins for your organization, and set whether users may add their own marketplaces. - [Treasure AI Studio - Sharing Custom Skills](https://docs.treasure.ai/products/ai-studio/skills/sharing-custom-skills.md) - [Treasure AI Studio - Supported Skills Catalog](https://docs.treasure.ai/products/ai-studio/skills/skills-catalog.md) - [Treasure AI Studio - Skills & Marketplace](https://docs.treasure.ai/products/ai-studio/skills/skills.md) - [Treasure AI Studio - Charts & Data Visualization](https://docs.treasure.ai/products/ai-studio/visualization/charts.md): Turn query results into interactive charts — bar, line, pie, area, scatter, Sankey, treemap, funnel, and more — rendered directly in the conversation. - [Treasure AI Studio - Image Generation](https://docs.treasure.ai/products/ai-studio/visualization/image-generation.md): Generate and edit images directly in chat. Describe what you want in plain language and Studio creates, edits, and renders images inline using OpenAI's GPT Image model. - [Treasure AI Studio - Journey Canvas Visualization](https://docs.treasure.ai/products/ai-studio/visualization/journey-canvas.md): See your CDP customer journeys rendered as interactive flow diagrams — with color-coded stages, branching decision points, A/B test splits, and clickable nodes. - [Treasure AI Voice Desktop App](https://docs.treasure.ai/products/ai-voice/desktop.md): Cover Zoom, Google Meet, Teams, and Webex on your computer — the Treasure AI Voice desktop app complements PLAUD devices for in-person meetings. - [Treasure AI Voice Desktop App Quick Start](https://docs.treasure.ai/products/ai-voice/desktop/quick-start.md): Install the Treasure AI Voice desktop app, connect your account, and record your first meeting on macOS or Windows. - [About Data Tank 2.0](https://docs.treasure.ai/products/control-panel/datatank/about-data-tank-2-0.md): Overview of Treasure AI Data Tank 2.0, a customer-dedicated operational database with PostgreSQL compatibility, high availability, and real-time data retrieval. - [About Data Tanks](https://docs.treasure.ai/products/control-panel/datatank/about-data-tanks.md): Overview of Treasure AI Data Tanks, fully managed PostgreSQL data marts for interactive analytics, reporting, and business intelligence. - [About Integrating Data Tank 2.0 with Plazma DB](https://docs.treasure.ai/products/control-panel/datatank/about-integrating-data-tank-2-0-with-plazma-db.md): Learn how to integrate Treasure AI Data Tank 2.0 with Plazma DB using PostgreSQL Import/Export connectors and Presto query integration. - [Getting Started with Data Tank 2.0](https://docs.treasure.ai/products/control-panel/datatank/getting-started-with-data-tank-2-0.md): Learn how to set up Treasure AI Data Tank 2.0, including creating database users, schemas, access policies, and importing data. - [Managing Data Tank 2.0 with the Management UI](https://docs.treasure.ai/products/control-panel/datatank/managing-data-tank-2-0-with-the-management-ui.md): Learn how to configure, monitor, and control Treasure AI Data Tank 2.0 using the Management UI, including databases, schemas, access keys, and SSL certificates. - [Renaming of Data Tank 2.0](https://docs.treasure.ai/products/control-panel/datatank/rename-data-tank-2-0.md): Treasure AI is renaming Data Tank 2.0 to Data Tank following the deprecation of the original Data Tank service. - [Replacing Data Tank 1.0 with 2.0](https://docs.treasure.ai/products/control-panel/datatank/replacing-data-tank-1-0-with-2-0.md): Guide to migrating from Treasure AI Data Tank to Data Tank 2.0, covering feature differences, integration changes, and authentication updates. - [Understanding Data Tank 2.0 Maintenance](https://docs.treasure.ai/products/control-panel/datatank/understanding-data-tank-2-0-maintenance.md): Learn about Treasure AI Data Tank 2.0 maintenance windows, patching procedures, and recommended customer actions for application resilience. - [About Private Connect](https://docs.treasure.ai/products/control-panel/security/about-private-connect.md): Secure network access to Treasure AI services using VPC peering, with compliance-focused private connectivity that restricts public internet access for select services. - [Accessing REST APIs](https://docs.treasure.ai/products/control-panel/security/accessing-rest-apis.md): Learn how to access REST APIs in Treasure Console, understand API key types, security best practices, and authentication methods for managing API permissions. - [Authentication Requirement When Configuring Settings](https://docs.treasure.ai/products/control-panel/security/authentication-requirement-when-configuring-settings.md): Learn about authentication requirements for account owners and administrators when modifying sign-in settings, including SSO re-authentication protocols. - [About Access Control and Data Governance](https://docs.treasure.ai/products/control-panel/security.md): Learn about Treasure AI's solutions for access control and data governance, including restricting access to resources, managing permissions, and building data catalogs through tagging. - [About Account Management](https://docs.treasure.ai/products/control-panel/settings/about-account-management.md): Learn how to manage account settings, change account ownership, and understand password policy guidelines for secure access and control. - [Accessing your AI Suite Credits Utilization Dashboard](https://docs.treasure.ai/products/control-panel/utilization/accessing-your-ai-suite-credits-utilization-dashboard.md): View and track your AI Suite Credits usage, including monthly credits, LLM conversations, and engagement metrics through the comprehensive utilization dashboard. - [Accessing Your Data Utilization Dashboard](https://docs.treasure.ai/products/control-panel/utilization/accessing-your-data-utilization-dashboard.md): Learn how to access and analyze your Treasure AI resource utilization dashboard, track account activities, and monitor performance metrics. - [Accessing your ICDP P+B Units Utilization Dashboard](https://docs.treasure.ai/products/control-panel/utilization/accessing-your-icdp-pbunits-utilization-dashboard.md): Learn how to access and view your ICDP Profiles and Behaviors Utilization Dashboard, including monthly and daily consumption charts for tracking usage. - [Accessing Your Trino Utilization Dashboard](https://docs.treasure.ai/products/control-panel/utilization/accessing-your-presto-utilization-dashboard.md): View Trino resource usage charts, analyze query performance metrics, and monitor monthly plan limits in the Trino Utilization Dashboard for optimizing data workloads. - [Accessing Your Workflow Utilization Dashboard](https://docs.treasure.ai/products/control-panel/utilization/accessing-your-workflow-utilization-dashboard.md): View workflow performance metrics, track custom script usage, monitor session success rates, and analyze utilization trends in the Treasure Workflow Utilization Dashboard for administrators. - [Utilization](https://docs.treasure.ai/products/control-panel/utilization.md): View and analyze resource utilization across Treasure AI dashboards, including Presto, Workflow, Insights, and ICDP usage metrics for administrators. - [Accessing Your Treasure Insights Utilization Dashboard](https://docs.treasure.ai/products/control-panel/utilization/treasure-insights-utilization.md): Step-by-step guide to accessing the Treasure Insights Utilization dashboard, showing user statistics, data model details, and usage insights for administrators. - [View the AutoML Utilization Dashboard](https://docs.treasure.ai/products/control-panel/utilization/view-the-utilization-dashboard.md): Learn how to access and analyze the AutoML Utilization Dashboard, view monthly AutoML unit hours usage, and track workflow performance metrics. - [Comparing AI Studio, Foundry Workspace, and Audience Agent](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/ai-studio-foundry-workspace-and-audience-agent.md): Compare Treasure AI Studio, Foundry Workspace, Audience Agent, and Generic Chat, and learn how a custom AI Agent Foundry agent connects to Studio. - [Chat Data Retention Policy](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/chat-data-retention-period.md): Learn how to configure chat data retention periods in AI Agent Foundry, with options to set storage duration from 14 to 60 days for customer chat histories. - [How Do Treasure AI's AI Agents Come Up With a Response or Decision](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/how-do-treasure-data-s-ai-agents-come-up-with-a-response-or-decision.md): Learn how Treasure Data's AI agents generate precise, contextual responses using foundational models, RAG technology, and system prompts to ensure accurate outputs. - [How Treasure AI's AI Systems Work](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/how-treasure-data-s-ai-systems-work.md): Discover how Treasure Data's AI systems leverage single-agent interactions, LLM technologies, and advanced Retrieval Augmented Generation (RAG) techniques for intelligent, secure data processing. - [In Theory Can an AI Agent Provide an Inaccurate or False Response](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/in-theory-can-an-ai-agent-provide-an-inaccurate-or-false-response.md): Explores how AI agents can provide inaccurate responses due to knowledge base limitations, data quality issues, and inherent AI technology constraints. - [AI Foundry Overview](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry.md): Explore Treasure AI's AI Agent Foundry for creating, managing, and deploying AI agents across marketing workflows using data from TD Plazma database. - [Runtime Resources](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/runtime-resources.md): Learn how to use runtime resources in AI Agent Foundry, upload text data for agents, and configure runtime text resources in your workspace. - [Supported LLM Models](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/supported-llm-models.md): Comprehensive list of supported LLM models in AI Agent Foundry, including Anthropic Claude, OpenAI GPT, image generation, and web search models for advanced AI agent development. - [About the Audience Studio](https://docs.treasure.ai/products/customer-data-platform/audience-studio.md): Explore Treasure Data's Audience Studio for building comprehensive customer profiles, creating precise marketing segments, and activating data across multiple channels with ease. - [Starting Audience Agent](https://docs.treasure.ai/products/customer-data-platform/audience-studio/starting-audience-agent.md): Learn how to set up and use Audience Agent, a premium feature for advanced audience segmentation and analysis in the Customer Data Platform. - [Viewing Attribute Groupings in the Segment Editor](https://docs.treasure.ai/products/customer-data-platform/audience-studio/viewing-attribute-groupings-in-the-segment-editor.md): Learn how to view, organize, and edit attribute groupings in the Segment Editor of Audience Studio with easy step-by-step navigation instructions. - [Complete CDP](https://docs.treasure.ai/products/customer-data-platform/complete-cdp.md): Treasure AI Complete CDP is an all-in-one customer data platform with fully managed infrastructure for data collection, unification, segmentation, and activation. - [Composable Audience Studio](https://docs.treasure.ai/products/customer-data-platform/composable-cdp.md): Treasure AI Composable CDP lets you build a customer data platform on top of your existing data warehouse and infrastructure. - [Integrate with BigQuery](https://docs.treasure.ai/products/customer-data-platform/composable-publish/bigquery-integration.md): Learn how to integrate Treasure AI-managed Iceberg tables with Google BigQuery using BigQuery Omni and an AWS Glue federated dataset. - [Manage Databases](https://docs.treasure.ai/products/customer-data-platform/composable-publish/database-management.md): Learn how to create and delete databases in the Iceberg Catalog using the Database Management API. - [Integrate with Databricks](https://docs.treasure.ai/products/customer-data-platform/composable-publish/databricks-integration.md): Learn how to integrate Treasure AI-managed Iceberg tables with Databricks using Unity Catalog Glue HMS federation. - [Reading and Writing Iceberg Tables from Data Workbench](https://docs.treasure.ai/products/customer-data-platform/composable-publish/iceberg-tables-data-workbench.md): Learn how to read and write Iceberg tables using the Trino query engine in Data Workbench. - [Database-Level Access Control for Iceberg Catalog](https://docs.treasure.ai/products/customer-data-platform/composable-publish/permission-management.md): Learn how to manage database-level permissions for the Iceberg Catalog using the Permission Management API. - [Provision Resources](https://docs.treasure.ai/products/customer-data-platform/composable-publish/resource-provisioning.md): Learn how to provision Iceberg catalog resources for your Treasure AI account using the Resource Provisioning API. - [Integrate with Snowflake](https://docs.treasure.ai/products/customer-data-platform/composable-publish/snowflake-integration.md): Learn how to integrate Treasure AI-managed Iceberg tables with Snowflake using a Glue Iceberg REST catalog integration and Lake Formation vended credentials. - [Manage the Reader Role Trust Policy](https://docs.treasure.ai/products/customer-data-platform/composable-publish/trust-policy-management.md): Read, append to, and replace the Treasure AI Iceberg catalog reader role trust policy so multiple integrations can assume the role without dropping each other. - [Composable Publish Tutorial: Publish Data to Databricks](https://docs.treasure.ai/products/customer-data-platform/composable-publish/tutorial.md): Set up Composable Publish end to end — provision Iceberg catalog resources, connect Databricks, and publish Treasure AI tables for zero-copy reads. - [Use Iceberg Catalog Management API](https://docs.treasure.ai/products/customer-data-platform/composable-publish/use-iceberg-catalog-api.md): Learn how to authenticate with the Iceberg Catalog Management API using TD1 API keys and find the correct endpoint for your site. - [Data Workbench](https://docs.treasure.ai/products/customer-data-platform/data-workbench.md): Explore Data Workbench features for tracking queries, workflows, databases, and creating parent segments in Treasure AI's customer data platform. - [Overview](https://docs.treasure.ai/products/customer-data-platform/id-unification.md): Learn how to unify customer identifiers across channels, create comprehensive profiles, and track the full customer journey using Treasure Data's ID Unification capability. - [What is ID Unification?](https://docs.treasure.ai/products/customer-data-platform/id-unification/p0_introduction.md): Learn how ID Unification consolidates user identifiers across data sources, creating a unified customer profile by linking different IDs like email, device, and membership. - [Limitations](https://docs.treasure.ai/products/customer-data-platform/id-unification/p10_limitations.md): Learn the key limitations for ID unification, including maximum key columns, table count, and key occurrences in configuration settings. - [ID Unification Tips](https://docs.treasure.ai/products/customer-data-platform/id-unification/p11_tips.md): Learn how to visualize graph table data using Graphviz, including SQL query techniques, CSV export, and data cleaning steps for ID unification. - [Files Required for ID Unification Workflow](https://docs.treasure.ai/products/customer-data-platform/id-unification/p1_syntax.md): Comprehensive guide to creating dig and YAML files for ID unification workflows, with syntax examples and configuration options for data source mapping and ID resolution. - [ID Unification Output](https://docs.treasure.ai/products/customer-data-platform/id-unification/p2_output_result.md): Learn how ID Unification generates databases and tables, including naming conventions, output structure, and how enriched tables with canonical IDs are created. - [Learning `canonical_id` for Cookie ID](https://docs.treasure.ai/products/customer-data-platform/id-unification/p3_canonical_id_learning.md): Learn how to unify customer identities across multiple sites using `td_client_id` and `td_global_id` to create a comprehensive canonical ID tracking strategy. - [Learning `canonical_id` for Cookie ID and Email](https://docs.treasure.ai/products/customer-data-platform/id-unification/p4_canonical_id_learning2.md): Learn how to unify customer identities across multiple sites using different ID types like cookie, global, and email identifiers in complex cross-site scenarios. - [Multiple Canonical IDs](https://docs.treasure.ai/products/customer-data-platform/id-unification/p5_multiple_canonical_id.md): Learn how to generate multiple independent canonical IDs in ID unification, configure multiple ID keys, and set a parent segment for cross-table identity resolution. - [What is do_not_merge_key?](https://docs.treasure.ai/products/customer-data-platform/id-unification/p6_do_not_merge.md): Learn how the `do_not_merge_key` option prevents record merging based on specific unique identifiers while allowing flexible stitching for records without those keys. - [What is incremental_update?](https://docs.treasure.ai/products/customer-data-platform/id-unification/p7_incremental.md): Learn how incremental_update optimizes ID unification by reducing processing time and efficiently applying stitching only to updated customer records. - [About `persistent_id`](https://docs.treasure.ai/products/customer-data-platform/id-unification/p8_persistent_id.md): Learn how persistent_id provides a stable, immutable identifier for tracking users across sessions, addressing limitations of canonical_id in customer data platforms. - [Knowledge about ID Unification](https://docs.treasure.ai/products/customer-data-platform/id-unification/p9_knowledge.md): Learn about common misconceptions in ID Unification, key requirements for accurately matching customer identifiers, and best practices for data linking. - [How to ingest data](https://docs.treasure.ai/products/customer-data-platform/integration-hub/data-ingest.md): Learn how to ingest data into Treasure AI from various sources like databases, files, and applications using batch or incremental import methods. - [Integration Hub](https://docs.treasure.ai/products/customer-data-platform/integration-hub.md): Discover 170+ flexible data connectors to unify online, offline, and IoT data sources with Treasure Data's Integration Hub, enabling seamless enterprise data integration. - [Manage Authentications](https://docs.treasure.ai/products/customer-data-platform/integration-hub/snippet-create-new-authentication-steps.md): Learn how to create and manage authentication credentials for integrations in the Treasure AI Integration Hub with easy step-by-step instructions for setting up secure connections. - [Integrations Catalog](https://docs.treasure.ai/products/customer-data-platform/integration-hub/working-with-the-catalog.md): Discover how to manage, store, and reuse authentication credentials for third-party services using the Treasure Data Integrations Catalog, a centralized authentication management system. - [Downloading Query Results in Treasure Console](https://docs.treasure.ai/products/customer-data-platform/job-management/downloading-query-results-in-td-console.md): Learn how to download query results in Treasure Console using CSV, TSV, or JSON formats with step-by-step instructions for browser and CLI download modes. - [About Jobs](https://docs.treasure.ai/products/customer-data-platform/job-management.md): Track, review, and manage data import and query jobs across your organization with detailed status logs, filters, and 90-day job history in the Jobs interface. - [Job Management](https://docs.treasure.ai/products/customer-data-platform/job-management/job-management.md): Learn how to manage, track, and understand job statuses in Treasure Customer Data Platform, including data import, segment activation, and workflow handling. - [Managing Jobs](https://docs.treasure.ai/products/customer-data-platform/job-management/managing-jobs.md): Manage and prioritize cloud-based jobs in Treasure AI's platform using Treasure Console and TD Toolbelt, with parallel execution and optional resource pool support. - [Scheduling Jobs Using Treasure Console](https://docs.treasure.ai/products/customer-data-platform/job-management/scheduling-jobs-using-td-console.md): Learn how to schedule periodic query jobs in Treasure Console, including custom cron settings, daily and hourly scheduling options for data workflows. - [Scheduling Using the TD Toolbelt](https://docs.treasure.ai/products/customer-data-platform/job-management/scheduling-using-the-td-toolbelt.md): Learn how to create, manage, and schedule periodic query jobs using TD Toolbelt, including command syntax, scheduling options, and job priority configuration. - [Scheduling](https://docs.treasure.ai/products/customer-data-platform/job-management/scheduling.md): Learn how to schedule periodic queries in Treasure AI's platform, with options for hourly, daily, weekly, and monthly job execution and high availability. - [Selecting a Database for a Job](https://docs.treasure.ai/products/customer-data-platform/job-management/selecting-a-database-for-a-job.md): Learn how to select and manage databases for jobs in Treasure AI, including database permissions, Hive/Presto job database selection, and key access considerations. - [Setting Job Priority](https://docs.treasure.ai/products/customer-data-platform/job-management/setting-job-priority.md): Learn how to set job priority in Data Workbench, manage query execution speed, and use priority values from very high to very low for optimal resource allocation. - [Sharing Jobs](https://docs.treasure.ai/products/customer-data-platform/job-management/sharing-jobs.md): Learn how to share job definitions in Treasure AI Console, collaborate with team members, and easily distribute job information across your organization. - [Treasure AI Job Types](https://docs.treasure.ai/products/customer-data-platform/job-management/treasure-data-job-types.md): Comprehensive overview of Treasure AI job types, including Presto, Hive, data import, export, and bulk processing jobs executed in parallel on the cloud. - [Viewing Job Information](https://docs.treasure.ai/products/customer-data-platform/job-management/viewing-job-information.md): Learn how to view and analyze job details in the Treasure Console, including results, query text, logs, and metadata for comprehensive job management. - [Viewing the Data Import Status and Output Logs](https://docs.treasure.ai/products/customer-data-platform/job-management/viewing-the-data-import-status-and-output-logs.md): Learn how to view and monitor data import job statuses, filter jobs, and access detailed logs and configuration information in Treasure Console. - [Creating an End Event](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/creating-an-end-event.md): Learn how to define end events in journey orchestration to signal the completion of a customer journey and manage profile progression effectively. - [Creating Updating and Deleting Journeys Using the REST API](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/creating-updating-and-deleting-journeys-using-the-rest-api.md): Learn how to programmatically create, update, and delete customer journeys using the REST API, with detailed guidance on permissions, journey attributes, and workflow management. - [Drilling Down Into Journeys](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/drilling-down-into-journeys.md): Learn how to analyze customer journey stages, drill down into profile counts, and understand non-linear progression in the Customer Journey Dashboard. - [Journey Overview](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration.md): Discover how Treasure Data Journey Orchestration helps CX managers optimize omnichannel experiences by identifying audiences, connecting campaigns, and personalizing customer interactions. - [Journey Canvas Statistics](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/journey-canvas-statistics.md): Learn how to interpret profile statistics in Customer Journey Orchestration, including stage counts, goals, milestones, and exit criteria tracking. - [Treasure AI Journey Orchestration Using the REST API](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/treasure-data-journey-orchestration-using-the-rest-api.md): Learn to use the Treasure Data Journey Orchestration REST API to manage customer interactions, modify workflows, and track profile states for enhanced customer engagement. - [Journey Simulation](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/journey-simulation.md): Test and validate customer journey configurations with a risk-free preview of entry logic, branching behavior, and message paths before launching campaigns. - [Zero Profiles Exiting Journey](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/zero-profiles-exiting-journey.md): Explore why zero profiles exit a journey stage and understand non-linear journey progression, revealing how customer profiles can enter different stages based on multiple criteria. - [About Real Time Personalization](https://docs.treasure.ai/products/customer-data-platform/real-time/about-real-time-personalization.md): Learn how to create personalized customer experiences using real-time data from Treasure AI CDP, with triggers and customized responses across web, POS, and support channels. - [About the Real Time Personalization API](https://docs.treasure.ai/products/customer-data-platform/real-time/about-the-real-time-personalization-api.md): Learn how the Real Time Personalization API configures personalized user experiences, with routing and data upload endpoints for customer data tracking. - [Attribute and Journey Setup in Real-Time 2.0](https://docs.treasure.ai/products/customer-data-platform/real-time/attribute-and-journey-setup-in-real-time-2-0.md): Learn how to set up, manage, and troubleshoot attributes and journeys in Real-Time 2.0, with insights on visibility controls, synchronization, and configuration error handling. - [Changing a List Attribute](https://docs.treasure.ai/products/customer-data-platform/real-time/changing-a-list-attribute.md): Learn how to modify list list attributes in the Customer Data Platform Platform Platform, including changing duration, maximum elements and, with key configuration settings. - [Editing and Deleting a Single-Value Attribute](https://docs.treasure.ai/products/customer-data-platform/real-time/changing-a-single-value-attribute.md): Learn how to edit and delete single-value attributes in the Customer Data Platform, including prerequisites, limitations, and step-by-step editing instructions. - [Changing Counter Attributes](https://docs.treasure.ai/products/customer-data-platform/real-time/changing-counter-attributes.md): Learn how to modify counter attributes in Treasure Console, including changing names, descriptions, properties, duration, and element limits. - [Create Real Time Segment Rules](https://docs.treasure.ai/products/customer-data-platform/real-time/create-real-time-segment-rules.md): Learn how to create and configure real-time segment rules in Treasure Console, including attributes, behaviors, existing segments, and predictive scoring. - [Creating and Viewing a Counter Attribute](https://docs.treasure.ai/products/customer-data-platform/real-time/creating-a-counter-attribute.md): Learn how to create sliding and total counter attributes in Treasure AI to track event counts and lifetime totals for real-time personalization. - [Machine Learning](https://docs.treasure.ai/products/customer-data-platform/machine-learning.md): Discover Treasure Data's machine learning solutions for predicting customer behavior, including AutoML and AI Signals for automated and custom predictive analytics. - [Creating a Real Time Activation Using Real-time Personalization API](https://docs.treasure.ai/products/customer-data-platform/real-time/creating-a-real-time-activation-using-the-rest-api.md): Learn how to use the Real-time Personalization API to ingest events, configure personalization, and receive real-time targeted responses with API endpoints and requirements. - [Setting Up Parent Segments for Real-Time](https://docs.treasure.ai/products/customer-data-platform/real-time/creating-a-real-time-configuration.md): Learn how data engineers configure parent segments for real-time journey objects in Audience Studio, including event setup, ID keys, and attributes for advanced customer tracking. - [Creating a Real Time Personalization With Audience Studio](https://docs.treasure.ai/products/customer-data-platform/real-time/creating-a-real-time-personalization-with-audience-studio.md): Step-by-step guide to creating real-time personalization in Audience Studio, including how to configure personalization objects, set entry criteria, and define personalization payloads for targeted customer experiences. - [Creating and Viewing a List Attribute](https://docs.treasure.ai/products/customer-data-platform/real-time/creating-and-viewing-a-list-attribute.md): Learn how to create and configure list attributes in the Customer Data Platform, including prerequisites, limitations, and step-by-step instructions for setup. - [Creating Single Value Attributes](https://docs.treasure.ai/products/customer-data-platform/real-time/creating-single-value-attributes.md): Learn how to create single-value attributes in the customer data platform, including prerequisites, steps to add attributes, and configuration details. - [Getting Started with Real-Time 2.0](https://docs.treasure.ai/products/customer-data-platform/real-time/getting-started.md): Learn how to set up Real-Time 2.0, configure prerequisites, understand deployment workflow, and implement best practices for Treasure AI's advanced customer data platform. - [Importing Batch Attributes](https://docs.treasure.ai/products/customer-data-platform/real-time/importing-batch-attributes.md): Learn how to import batch attributes in Treasure Console's Data Workbench, including step-by-step navigation and selection of attributes for parent segments. - [Ingesting JSON Event Properties JSON Remapping](https://docs.treasure.ai/products/customer-data-platform/real-time/ingesting-json-event-properties-json-remapping.md): Easily extract and promote nested JSON fields to top-level properties during Real-Time data ingestion without complex upstream transformations. - [Lookup Catalog Sync Workflow](https://docs.treasure.ai/products/customer-data-platform/real-time/lookup-catalog-workflow.md): Learn how to configure and run the Treasure Workflow sync workflow that uploads cdp_lookup_catalog table data to RT 2.0 internal storage for use in RT 2.0 personalization. - [Lookup Catalog](https://docs.treasure.ai/products/customer-data-platform/real-time/lookup-catalog.md): Learn how to use RT 2.0 Lookup Catalog to reference non-user-keyed business data — product catalogs, coupon definitions, sale schedules — in real-time personalization responses. - [Real-time 2.0 Configuration and Initialization](https://docs.treasure.ai/products/customer-data-platform/real-time/real-time-2-0-configuration-and-initialization.md): Learn how to configure Real-Time 2.0, including ID stitching, event and attribute definitions, batch data preparation, and system configuration limits. - [Real-time 2.0 Connectors & Integrations](https://docs.treasure.ai/products/customer-data-platform/real-time/real-time-2-0-connectors-integrations.md): Comprehensive guide to Real-time 2.0 connectors, covering webhook, Salesforce Marketing Cloud, and workflow integrations for immediate event-triggered data activations. - [Real Time 2.0 System Performance Limitations and Expected Behavior](https://docs.treasure.ai/products/customer-data-platform/real-time/real-time-2-0-system-performance-limitations-and-expected-behavior.md): Detailed guide to Real Time 2.0 system performance limits, event table constraints, ID stitching rules, profile attribute caps, and configuration expectations for high-throughput workloads. - [Creating a Real-time 2.0 A/B Test](https://docs.treasure.ai/products/customer-data-platform/real-time/creating-a-realtime-ab-test.md): Learn how to create and configure real-time A/B tests in Treasure AI's Customer Data Platform, with support for multiple variants, traffic splitting, and performance optimization. - [AI Skills for Real-Time Debugging](https://docs.treasure.ai/products/customer-data-platform/real-time/real-time-ai-debugging-skills.md): Use Treasure AI skills to debug real-time activation failures, identity stitching issues, and journey execution problems. - [Real-Time Attribute FAQs](https://docs.treasure.ai/products/customer-data-platform/real-time/real-time-attribute-faqs.md): Frequently asked questions about real-time attribute deployments, configuration, and counter behavior in Treasure AI. - [Real Time Attributes Overview](https://docs.treasure.ai/products/customer-data-platform/real-time/real-time-attributes-overview.md): Explore Treasure Data's real-time attributes for capturing dynamic customer behaviors, creating personalized profiles, and enabling precise real-time interactions and decisioning. - [Real-Time 2.0 FAQ](https://docs.treasure.ai/products/customer-data-platform/real-time/real-time-faq.md): Frequently asked questions about Real-Time 2.0 in the Treasure AI AI Marketing Cloud, including storage layers, profile unification, latency, and throughput. - [Real-Time ID Stitching Overview](https://docs.treasure.ai/products/customer-data-platform/real-time/real-time-id-stitching-overview.md): Learn how Real-Time 2.0 performs ID stitching across real-time and batch layers, including terminology, capabilities, and use cases. - [Real Time Observability and Logs](https://docs.treasure.ai/products/customer-data-platform/real-time/real-time-observability-and-logs.md): Learn how to access and interpret Datadog real-time monitoring dashboards, track event processing metrics, and gain insights into system performance. - [Real Time Observability Event Tracking](https://docs.treasure.ai/products/customer-data-platform/real-time/real-time-observability-event-tracking.md): Learn how Treasure Data's real-time observability tracking uses td_rt_tracking_id to enable event correlation, traceability, and detailed activation insights across systems. - [Real Time Personalization 2.0 Client Side Use Case Guide](https://docs.treasure.ai/products/customer-data-platform/real-time/real-time-personalization-2-0-client-side-use-case-guide.md): Comprehensive guide to implementing client-side real-time personalization using Treasure AI's JavaScript API, enabling dynamic web experiences based on user data and behavior. - [Real Time Personalization 2.0 Server Side Use Case Guide](https://docs.treasure.ai/products/customer-data-platform/real-time/real-time-personalization-2-0-server-side-use-case-guide.md): Learn how to implement server-side real-time personalization with Treasure AI's platform, including data ingestion, audience segmentation, and API integration for web apps. - [Real-Time 2.0 in Treasure AI AI Marketing Cloud](https://docs.treasure.ai/products/customer-data-platform/real-time/real-time.md): Learn how Treasure AI's Real-Time 2.0 unifies batch and real-time data at the profile level to power immediate decisions, web personalization, and triggered activations. - [Reviewing Real Time Triggered Activation Logs](https://docs.treasure.ai/products/customer-data-platform/real-time/reviewing-real-time-triggered-activation-logs.md): Learn how to review real-time triggered activation logs in Treasure AI, including tracking activation details, successes, failures, and profile activations. - [Accessing Treasure Insights](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/accessing-treasure-insights.md): Learn how to access Treasure Insights dashboards, including login steps, navigation requirements, and accessing dashboard tiles in the Treasure Console. - [Best Practices for Treasure Insights Dashboard and Insights Model Design](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/best-practices-for-treasure-insights-dashboard-and-insights-model-design.md): Learn how to optimize Treasure Insights dashboard performance with expert guidelines for widget design, data filtering, and insights model configuration to improve efficiency. - [Building an Elasticube Insights Model](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/building-an-elasticube-insights-model.md): Learn how to build an Elasticube Insights model in Treasure Console, including build options, permissions, and step-by-step instructions for data model creation. - [Changing a Dashboard Widget Type](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/changing-a-dashboard-widget-s-type-1.md): Learn how to easily change dashboard widget types in Treasure Insights, transferring existing data and definitions between chart formats with simple steps. - [Combining Dashboard Widgets](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/combining-dashboard-widgets.md): Learn how to combine and customize dashboard widgets in Treasure Insights, merging different chart types like line and column charts for enhanced data visualization. - [Configuring Elasticube Insights Models](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/configuring-elasticube-insights-models.md): Learn how to configure Elasticube Insights Models in Treasure AI using the Console or API, with step-by-step guidance for creating and managing data models. - [Configuring Ti Access](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/configuring-ti-access.md): Learn how Treasure Data administrators can assign Treasure Insights access privileges, including view-only, edit dashboards, data model permissions, and user roles. - [Configuring Treasure Insights](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/configuring-treasure-insights.md): Learn how to set up and configure Treasure Insights dashboards to analyze shopping patterns, track customer behavior, and predict future trends. - [Create a Yaml File](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/create-a-yaml-file.md): Learn how to create a YAML file for Treasure Insights, including required properties like model name, API key, sharing settings, and dataset configurations. - [Create an Insights Model Dataset](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/create-an-insights-model-dataset.md): Learn how to create and configure Insights model datasets, including defining schemas, specifying database and table names, and using the API endpoint. - [Create an Insights Model](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/create-an-insights-model.md): Learn how to create an Insights data model using the API, configure table relationships, and understand naming conventions for analytics platform modeling. - [Create or Add a Table](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/create-or-add-a-table.md): Learn how to create and add tables in Treasure Insights using the API, with step-by-step instructions for defining table names, columns, and data types. - [Creating a Dashboard Widget](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/creating-a-dashboard-widget.md): Learn how to create dynamic data visualization widgets in Treasure Insights, select data sources, choose chart types, and build informative dashboards. - [Creating a New Dashboard](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/creating-a-new-dashboard.md): Learn how to create a new dashboard in Treasure Insights, connect data sources, and set up your first visualization with step-by-step instructions for users. - [Creating an Elasticube Insights Model in Treasure Console](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/creating-an-elasticube-insights-model-in-td-console.md): Learn how to create an Elasticube Insights model in Treasure Console, configure data sources, define relationships, and build interactive dashboards for data analysis. - [Creating an Elasticube Insights Model Using the API](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/creating-an-elasticube-insights-model-using-the-api.md): Learn how to create an Elasticube Insights model using the JDBC driver for Trino, transferring data from Treasure AI to third-party analytics platforms. - [Creating Filters With Widgets](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/creating-filters-with-widgets-1.md): Learn how to create and apply filters in Treasure Insights using widget selection, single and multi-select methods, and data area drawing techniques. - [Creating PDF Reports](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/creating-pdf-reports.md): Learn how to generate and customize PDF reports from your dashboard, including tips for handling complex visualizations and sharing insights. - [Customizing Dashboard Widget Colors](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/customizing-dashboard-widget-colors.md): Learn how to customize dashboard widget colors in Treasure Insights, including single color selection, color ranges, and conditional color settings for data visualization. - [Customizing Pdf Reports](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/customizing-pdf-reports.md): Learn how to customize PDF report settings in Treasure Insights, including paper size, orientation, header, and footer options for better data visualization. - [Dashboard Widget Types Reference](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/dashboard-widget-types-reference.md): Comprehensive reference guide to dashboard widget types in Treasure Insights, covering indicators, charts, maps, and visualization options for data analysis. - [Dashboards](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/dashboards.md): Explore Treasure Insights dashboards: learn how to create, configure, and use interactive data visualization widgets to extract meaningful business insights. - [Delete a Table](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/delete-a-table.md): Learn how to delete a table in Treasure Insights using the DELETE API endpoint, including steps to find dataset and table IDs and important relation considerations. - [Delete an Insights Model Dataset](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/delete-an-insights-model-dataset.md): Learn how to permanently delete an Insights Model dataset using the API, including regional endpoint selection and important deletion considerations. - [Delete an Insights Model](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/delete-an-insights-model.md): Learn how to permanently delete an Insights model using the API, including important warnings about model deletion, dependencies, and naming restrictions. - [Deleting an Elasticube Insights Model](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/deleting-an-elasticube-insights-model.md): Learn how to safely delete an Elasticube Insights Model, understand the implications for dashboard relationships, and follow step-by-step deletion instructions. - [Displaying Missing Values and Zeros](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/displaying-missing-values-and-zeros.md): Learn how to replace null values with zeros in Treasure Insights line and bar charts to create continuous data visualization and improve dashboard readability. - [Downloading a Dashboard As an Image](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/downloading-a-dashboard-as-an-image.md): Learn how to download dashboard images with customizable settings like title, filters, and data set info for easy sharing and presentation. - [Downloading Widgets](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/downloading-widgets.md): Learn how to download Treasure Insights widgets in CSV, Excel, Image, and PDF formats, with options for customizing table layouts and preserving filters. - [Drilling Down Into a Widget](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/drilling-down-into-a-widget.md): Learn how to drill down into widgets for detailed data insights, including manual and predefined drill hierarchies in the Treasure Insights dashboard. - [Editing an Elasticube Insights Model](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/editing-an-elasticube-insights-model.md): Step-by-step guide to editing Elasticube Insights models, including changing model details, modifying data connections, adding or deleting tables, and updating model configurations. - [Filtering Dashboard Data](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/filtering-dashboard-data.md): Learn how to users filter dashboard data inTin Treasure, Insights, including refinusing the pFilters p,ane, saving filter views,, views, and customwidget filteringization. - [Formatting Dashboard Widget Numbers](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/formatting-dashboard-widget-numbers.md): Learn how to customize number formats in Treasure Insights dashboard widgets, including Number, Current, and Percent display options for clear data visualization. - [Generating Treasure Insights Reports](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/generating-treasure-insights-reports.md): Learn how to generate, download, and share Treasure Insights reports with various export options including widgets, dashboards, and customizable PDF reports. - [Get the Status of a Build](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/get-the-status-of-a-build.md): Learn how to retrieve build status for Treasure Insights data models using API calls, with details on possible build states and troubleshooting methods. - [Granting Treasure Insights Access](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/granting-treasure-insights-access.md): Learn how administrators can grant Treasure Insights access, understand role limitations, SSO user restrictions, and step-by-step permission assignment process. - [Reporting: Treasure Insights](https://docs.treasure.ai/products/customer-data-platform/treasure-insights.md): Explore Treasure Insights, an interactive reporting module for modeling, analyzing, and sharing customer data insights across marketing and business teams. - [Insights Model Endpoints Reference](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/reference-insights-model-endpoints.md): REST API reference for Treasure Insights data model endpoints — create, configure, share, and build Treasure Insights data models using curl examples. - [Renaming Dashboard Widget Fields](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/renaming-dashboard-widget-fields.md): Customize dashboard clarity by renaming widget fields in Treasure Insights with this easy, step-by-step guide to editing and personalizing data visualization labels. - [Replacing the API Key for Data Models](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/replacing-the-api-key-for-data-models.md): Step-by-step guide to replacing Treasure AI API keys for data models using REST API, with specific instructions for key rotation across different regional endpoints. - [Schedule an Insights Model Build](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/schedule-an-insights-model-build.md): Learn how to schedule Insights model builds in Treasure Workflow, configure build frequency, and use YAML and HTTP POST methods for optimal performance. - [Share an Insights Model](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/share-an-insights-model.md): Learn how to share Insights models with specific users via API, including requirements for email addresses and user roles in Treasure AI. - [Sharing Elasticube Insights Models](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/sharing-elasticube-insights-models.md): Learn how to share Elasticube Insights models in Treasure Insights, including step-by-step instructions for assigning data access to model creators and users. - [Start the Insights Model Build](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/start-the-insights-model-build.md): Learn how to trigger an Insights model build using the API, including the POST endpoint, authentication, and request parameters for generating a build ID. - [Ti Dashboard Widgets](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/ti-dashboard-widgets.md): Explore how to create and customize dashboard widgets in Treasure Insights, including data selection, visualization types, and dashboard configuration options. - [Understanding Possible Build Errors](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/understanding-possible-build-errors.md): Learn about common Insights model build statuses, their meanings, and troubleshooting steps for resolving potential build errors in your data platform. - [Treasure Insights Model](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/treasure-insights-model.md): Learn how Treasure Insights data models organize and standardize data elements, serving as the foundational source for creating dashboards and widgets. - [Update a Table](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/update-a-table.md): Learn how to update existing tables in a data model using the PUT API endpoint, with a sample request demonstrating table definition modification. - [Update an Insights Model Relation](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/update-an-insights-model-relation.md): Learn how to update Insights model relations by deleting the existing relation and recreating it with a new definition using API calls. - [Viewing an Elasticube Insights Model Limits and Storage](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/viewing-an-elasticube-insights-model-limits-and-storage.md): Learn how to view Elasticube Insights Model limits, storage capacity, and resource constraints in Treasure Insights, helping you manage data models effectively. - [Viewing Dashboards](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/viewing-dashboards.md): Learn how to find, open, and manage dashboards in Treasure Insights, including searching, accessing shared dashboards, and dashboard management options. - [Viewing Treasure Insights Roles](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/viewing-treasure-insights-roles.md): Learn how administrators can view and manage Treasure Insights user roles, access levels, and permissions in the Control Panel. - [Yaml Example](https://docs.treasure.ai/products/customer-data-platform/treasure-insights/yaml-example-1.md): Learn how to structure a YAML configuration for a data model in Treasure Insights, including API key, shared users, datasets, tables, and column definitions. - [Always-on Campaigns in Engage Studio](https://docs.treasure.ai/products/marketing-cloud/engage-studio/always-on-campaigns.md): Learn how to create and manage Always-on Campaigns for continuous, journey-triggered activations in Engage Studio. - [Engage FAQ](https://docs.treasure.ai/products/marketing-cloud/engage-studio/engage-faq.md): Learn how Engage Studio manages IP warm-up, controls throttling, ensures email compatibility, and handles plain text emails for marketing campaigns. - [Getting Started](https://docs.treasure.ai/products/marketing-cloud/engage-studio/engage-setup.md): Learn how to set up Engage Studio, enable access, configure workspaces, assign permissions, and set up messaging channels for your marketing campaigns. - [Engage Studio](https://docs.treasure.ai/products/marketing-cloud/engage-studio.md): Explore Engage Studio's AI-powered marketing automation platform with native CDP integration, enabling personalized multi-channel customer journeys and real-time engagement optimization. - [Workspaces and Permissions](https://docs.treasure.ai/products/marketing-cloud/engage-studio/permissions.md): Explore Engage Studio's Workspace and Policy-Based Permissions system for secure, granular access control across marketing teams, brands, and business units. - [Report for Engage](https://docs.treasure.ai/products/marketing-cloud/engage-studio/report-for-engage.md): Comprehensive guide to Engage Studio reporting, showing how to generate Overall Summary, Campaign Summary, and Campaign Trend Detail reports to track email marketing performance metrics. - [Campaigns](https://docs.treasure.ai/products/marketing-cloud/personalization-studio/campaigns.md): Understand campaign lifecycle, statuses, and priority in Personalization Studio. - [Creating Campaigns](https://docs.treasure.ai/products/marketing-cloud/personalization-studio/creating-campaigns.md): Walk through the 4-step campaign wizard in Personalization Studio to create, configure, preview, and launch web personalization campaigns. - [Getting Started with Personalization Studio](https://docs.treasure.ai/products/marketing-cloud/personalization-studio/getting-started.md): Complete the initial setup steps for Personalization Studio, including Parent Segment configuration, permissions, browser security, Web SDK installation, and page registration. - [Personalization Studio FAQs](https://docs.treasure.ai/products/marketing-cloud/personalization-studio/faq.md): Frequently asked questions and troubleshooting for Personalization Studio, covering setup, pages, audiences, campaigns, and technical issues. - [Personalization Studio Overview](https://docs.treasure.ai/products/marketing-cloud/personalization-studio.md): Personalize website content in real time with Treasure AI Personalization Studio. Show different images, text, and CTAs to different audiences using the Customer Data Platform. - [Managing Audiences](https://docs.treasure.ai/products/marketing-cloud/personalization-studio/managing-audiences.md): Create and manage audiences in Personalization Studio by importing existing batch segments from Audience Studio. - [Managing Pages and Content Spots](https://docs.treasure.ai/products/marketing-cloud/personalization-studio/managing-pages.md): Register website pages and define content spots using the Visual Selector in Personalization Studio. - [Personalization Studio Permissions](https://docs.treasure.ai/products/marketing-cloud/personalization-studio/permissions.md): Configure Policy-Based Permissions (PBP) for Personalization Studio access control. - [Web SDK Integration](https://docs.treasure.ai/products/marketing-cloud/personalization-studio/web-sdk-integration.md): Install the Web SDK and configure browser security for Personalization Studio. - [Treasure Work](https://docs.treasure.ai/products/treasure-ai-labs/treasure-work.md): Treasure Work is a Treasure AI Labs desktop app — an AI-native workspace pairing chat with guides, notes, work items, and goals for whole-day tasks. - [2018 1](https://docs.treasure.ai/release-notes/archive/2018/2018-1.md) - [2018 Release Notes Summary](https://docs.treasure.ai/release-notes/archive/2018/2018-release-notes-summary.md) - [Apr 2018 Release Note](https://docs.treasure.ai/release-notes/archive/2018/apr-2018-release-note.md) - [Aug 2018 Release Note](https://docs.treasure.ai/release-notes/archive/2018/aug-2018-release-note.md) - [Dec 2018 Release Note](https://docs.treasure.ai/release-notes/archive/2018/dec-2018-release-note.md) - [Feb 2018 Release Note](https://docs.treasure.ai/release-notes/archive/2018/feb-2018-release-note.md) - [Jan 2018 Release Note](https://docs.treasure.ai/release-notes/archive/2018/jan-2018-release-note.md) - [Jul 2018 Release Note](https://docs.treasure.ai/release-notes/archive/2018/jul-2018-release-note.md) - [Jun 2018 Release Note](https://docs.treasure.ai/release-notes/archive/2018/jun-2018-release-note.md) - [Mar 2018 Release Note](https://docs.treasure.ai/release-notes/archive/2018/mar-2018-release-note.md) - [May 2018 Release Note](https://docs.treasure.ai/release-notes/archive/2018/may-2018-release-note.md) - [Nov 2018 Release Note](https://docs.treasure.ai/release-notes/archive/2018/nov-2018-release-note.md) - [Oct 2018 Release Note](https://docs.treasure.ai/release-notes/archive/2018/oct-2018-release-note.md) - [Sept 2018 Release Note](https://docs.treasure.ai/release-notes/archive/2018/sept-2018-release-note.md) - [2019-1 Release Note](https://docs.treasure.ai/release-notes/archive/2019/2019-1.md) - [Apr 2019 Release Note](https://docs.treasure.ai/release-notes/archive/2019/apr-2019-release-note.md) - [Aug 2019 Release Notes](https://docs.treasure.ai/release-notes/archive/2019/aug-2019-release-notes.md) - [Dec 2019 Release Note](https://docs.treasure.ai/release-notes/archive/2019/dec-2019-release-note.md) - [Feb 2019 Release Note](https://docs.treasure.ai/release-notes/archive/2019/feb-2019-release-note.md) - [Jun 2019 Release Notes](https://docs.treasure.ai/release-notes/archive/2019/jun-2019-release-notes.md) - [Mar 2019 Release Note](https://docs.treasure.ai/release-notes/archive/2019/mar-2019-release-note.md) - [May 2019 Release Note](https://docs.treasure.ai/release-notes/archive/2019/may-2019-release-note.md) - [Nov 2019 Release Note](https://docs.treasure.ai/release-notes/archive/2019/nov-2019-release-note.md) - [Oct 2019 Release Note](https://docs.treasure.ai/release-notes/archive/2019/oct-2019-release-note.md) - [Sep 2019 Release Note](https://docs.treasure.ai/release-notes/archive/2019/sep-2019-release-note.md) - [Collapsible Navigation( "Link to this heading")](https://docs.treasure.ai/release-notes/archive/2019/summary-of-updates-to-the-td-console-2019.md) - [2020 1 Release Note](https://docs.treasure.ai/release-notes/archive/2020/2020-1.md) - [April 2020 Release Note](https://docs.treasure.ai/release-notes/archive/2020/april-2020-release-note.md) - [August 2020 Release Note](https://docs.treasure.ai/release-notes/archive/2020/august-2020-release-note.md) - [December 2020 Release Note](https://docs.treasure.ai/release-notes/archive/2020/december-2020-release-note.md) - [Feb 2020 Release Note](https://docs.treasure.ai/release-notes/archive/2020/feb-2020-release-note.md) - [Jan 2020 Release Note](https://docs.treasure.ai/release-notes/archive/2020/jan-2020-release-note.md) - [July 2020 Release Note](https://docs.treasure.ai/release-notes/archive/2020/july-2020-release-note.md) - [June 2020 Release Note](https://docs.treasure.ai/release-notes/archive/2020/june-2020-release-note.md) - [Mar 2020 Release Note](https://docs.treasure.ai/release-notes/archive/2020/mar-2020-release-note.md) - [May 2020 Release Note](https://docs.treasure.ai/release-notes/archive/2020/may-2020-release-note.md) - [November 2020 Release Note](https://docs.treasure.ai/release-notes/archive/2020/november-2020-release-note.md) - [October 2020 Release Note](https://docs.treasure.ai/release-notes/archive/2020/october-2020-release-note.md) - [September 2020 Release Note](https://docs.treasure.ai/release-notes/archive/2020/september-2020-release-note.md) - [2021 Release note](https://docs.treasure.ai/release-notes/archive/2021/2021.md) - [April 2021 Release Note](https://docs.treasure.ai/release-notes/archive/2021/april-2021-release-note.md) - [August 2021 Release Note](https://docs.treasure.ai/release-notes/archive/2021/august-2021-release-note.md) - [December 2021 Release Note](https://docs.treasure.ai/release-notes/archive/2021/december-2021-release-note.md) - [February 2021 Release Note](https://docs.treasure.ai/release-notes/archive/2021/february-2021-release-note.md) - [January 2021 Release Note](https://docs.treasure.ai/release-notes/archive/2021/january-2021-release-note.md) - [July 2021 Release Note](https://docs.treasure.ai/release-notes/archive/2021/july-2021-release-note.md) - [June 2021 Release Note](https://docs.treasure.ai/release-notes/archive/2021/june-2021-release-note.md) - [March 2021 Release Note](https://docs.treasure.ai/release-notes/archive/2021/march-2021-release-note.md) - [May 2021 Release Note-2](https://docs.treasure.ai/release-notes/archive/2021/may-2021-release-note-2-0.md) - [May 2021 Release Note](https://docs.treasure.ai/release-notes/archive/2021/may-2021-release-note.md) - [November 2021 Release Note](https://docs.treasure.ai/release-notes/archive/2021/november-2021-release-note.md) - [October 2021 Release Note](https://docs.treasure.ai/release-notes/archive/2021/october-2021-release-note.md) - [2022 Release Note](https://docs.treasure.ai/release-notes/archive/2022/2022.md) - [September 2021 Release Note](https://docs.treasure.ai/release-notes/archive/2021/september-2021-release-note.md) - [April 2022 Release Note](https://docs.treasure.ai/release-notes/archive/2022/april-2022-release-note.md) - [August 2022 Release Note](https://docs.treasure.ai/release-notes/archive/2022/august-2022-release-note.md) - [December 2022 Release Note](https://docs.treasure.ai/release-notes/archive/2022/december-2022-release-note.md) - [February 2022 Release Note](https://docs.treasure.ai/release-notes/archive/2022/february-2022-release-note.md) - [January 2022 Release Note](https://docs.treasure.ai/release-notes/archive/2022/january-2022-release-note.md) - [July 2022 Release Note](https://docs.treasure.ai/release-notes/archive/2022/july-2022-release-note.md) - [June 2022 Release Note](https://docs.treasure.ai/release-notes/archive/2022/june-2022-release-note.md) - [March 2022 Release Note](https://docs.treasure.ai/release-notes/archive/2022/march-2022-release-note.md) - [May 2022 Release Note](https://docs.treasure.ai/release-notes/archive/2022/may-2022-release-note.md) - [November 2022 Release Note](https://docs.treasure.ai/release-notes/archive/2022/november-2022-release-note.md) - [October 2022 Release Note](https://docs.treasure.ai/release-notes/archive/2022/october-2022-release-note.md) - [September 2022 Release Note](https://docs.treasure.ai/release-notes/archive/2022/september-2022-release-note.md) - [Postback API v2 クイックスタート](https://docs.treasure.ai/ja/apis/postback-v2/quickstart.md): Treasure AI Postback API v2 を使用して、records.in.treasuredata.com エンドポイントにヘッダーベース認証でイベントデータを送信する方法を説明します。 - [AIエージェント向けスタートガイド](https://docs.treasure.ai/ja/getting-started/ai.md): AIエージェントがModel Context Protocol（MCP）を通じてTreasure AIのドキュメントやプラットフォーム機能にリアルタイムでアクセスする方法を解説します。 - [データエンジニア向けスタートガイド](https://docs.treasure.ai/ja/getting-started/data.md): 顧客データの取り込み、統合、管理 - [IT管理者向けスタートガイド](https://docs.treasure.ai/ja/getting-started/it.md): Treasure AI環境のセットアップとセキュリティ確保 - [このドキュメントの読み方](https://docs.treasure.ai/ja/getting-started/how-to-read-this-documentation.md): Treasure AI ドキュメントポータルのナビゲーション方法、検索方法、および効果的な使い方を学びます。 - [Treasure AI Studio - カスタムインストラクション](https://docs.treasure.ai/ja/products/ai-studio/custom-instructions.md) - [マーケター向けスタートガイド](https://docs.treasure.ai/ja/getting-started/marketing.md): セグメントの構築、ジャーニーの設計、キャンペーンの実行、結果の測定まで、マーケター向けのステップバイステップガイドです。 - [Treasure AI Studio - はじめに](https://docs.treasure.ai/ja/products/ai-studio/overview.md): Treasure AI Studioは、自然言語の指示をクエリ実行、CDPセグメント、ジャーニー、レポートに変換するマルチプラットフォームAIアプリです。 - [アカウントの有効化](https://docs.treasure.ai/ja/products/ai-voice/account-activation.md): 初回サインイン時にメールアドレスを確認してTreasure AI Voiceアカウントを有効化する手順。 - [Treasure AI Studio - 設定](https://docs.treasure.ai/ja/products/ai-studio/settings.md): Treasure AI Studioを構成します — 言語、テーマ、デフォルトのモデルティアの設定、プロフィールの確認、組織全体の管理設定へのアクセス。 - [Treasure AI Studio - トラブルシューティング](https://docs.treasure.ai/ja/products/ai-studio/troubleshooting.md): サインインの問題や、チャットがハングする・応答が返らない事象など、Treasure AI Studio のよくある問題を解決します。 - [管理者ガイド](https://docs.treasure.ai/ja/products/ai-voice/administrator-guide.md): Treasure AI VoiceのSSO設定、デバイス管理、フリート状況の監視、コンプライアンスポリシーの適用、監査ログの確認方法。 - [Treasure AI Voice Support](https://docs.treasure.ai/ja/products/ai-voice/ai-voice-support.md): Treasure AI VoiceサポートポータルへのWebコンソールからのアクセス方法を説明します。AdminロールのユーザーのみがVoice専用サポートポータルからサポートリクエストを送信できます。 - [Treasure AI CDP連携](https://docs.treasure.ai/ja/products/ai-voice/cdp-integration.md): Treasure AI Voiceの録音、文字起こし、AI要約、デバイスインベントリを自社のTreasure AI CDPにエクスポートし、統合された分析、セグメンテーション、アクティベーションに活用します。 - [サポート対象ハードウェア](https://docs.treasure.ai/ja/products/ai-voice/hardware.md): Treasure AI Voice対応のPLAUD録音デバイスの概要。 - [Treasure AI Voice 概要](https://docs.treasure.ai/ja/products/ai-voice.md): PLAUD AIハードウェアとTreasure AIのセキュアなクラウドインフラを組み合わせた、エンタープライズ向け音声インテリジェンスプラットフォーム。営業支援、会議要約、コンプライアンス録音に対応。 - [PLAUD Note Pro](https://docs.treasure.ai/ja/products/ai-voice/note-pro.md): PLAUD Note Pro録音デバイスの技術仕様、Smart Dual-Mode、操作方法。 - [PLAUD NotePin S](https://docs.treasure.ai/ja/products/ai-voice/notepin-s.md): PLAUD NotePin Sウェアラブル録音デバイスの技術仕様と操作方法。 - [組織の有効化](https://docs.treasure.ai/ja/products/ai-voice/organization-activation.md): エンタープライズ管理者がTreasure AI Voice組織を有効化するための初回セットアップ手順。 - [要約テンプレートの作成と管理](https://docs.treasure.ai/ja/products/ai-voice/summary-templates.md): Treasure AI Voiceの要約テンプレートを作成・管理する方法。ビルトインプリセットの使い方、カスタムテンプレートの書き方、テンプレート例、よくある質問。 - [トラブルシューティングとFAQ](https://docs.treasure.ai/ja/products/ai-voice/troubleshooting-and-faq.md): Treasure AI Voiceのデバイス、モバイルアプリ、セキュリティ、コンプライアンスに関するよくある問題の解決方法とFAQ。 - [ユーザーガイド](https://docs.treasure.ai/ja/products/ai-voice/user-guide.md): Treasure AI Voiceの使い方 — モバイルアプリのダウンロード、PLAUDデバイスのペアリング、会議の録音、AIによる文字起こしと要約機能の活用方法。 - [管理](https://docs.treasure.ai/ja/products/control-panel/administration.md): Treasure AI CDPの管理者向けガイド。データソース、セキュリティ、接続、アクセス権限の設定と管理の方法を解説します。 - [設定を定義する](https://docs.treasure.ai/ja/products/control-panel/define-settings.md): Treasure AIコントロールパネルで、デフォルトのクエリエンジン（Presto/Hive）を設定し、システム全体の設定を管理する方法を説明します。 - [コントロールパネル](https://docs.treasure.ai/ja/products/control-panel/control-panel.md): Treasure AIのコントロールパネルで、セキュリティ設定、システム管理、利用状況の監視を簡単に行えます。 - [環境のセキュリティを定義する](https://docs.treasure.ai/ja/products/control-panel/define-security-for-your-environment.md): Treasure AIコンソールでのセキュリティ設定方法を解説。IP許可リストやサインイン設定を通じて、環境の安全性を高める方法を説明します。 - [Insightsモデルへのアクセスを付与する](https://docs.treasure.ai/ja/products/control-panel/granting-insights-models-access.md): Treasure Consoleで特定のユーザーにInsightsモデルへのアクセス権を付与する手順を詳しく解説します。アクセス管理の方法を段階的に説明します。 - [アカウントまたはユーザーのパスワードのリセット](https://docs.treasure.ai/ja/products/control-panel/resetting-the-account-or-user-password.md): Treasure AIコントロールパネルでユーザーパスワードをリセットする方法を説明します。アカウントオーナーと管理者向けの手順を詳しく解説。 - [コントロールパネルについて](https://docs.treasure.ai/ja/products/control-panel.md): Treasure AIのコントロールパネルで、セキュリティ、設定、利用状況を一元管理。管理者向けの包括的な設定とモニタリングツール。 - [セットアップ管理](https://docs.treasure.ai/ja/products/control-panel/setup-administration.md): Treasure AIのセットアップ管理ガイド。データ管理、インストール、カスタマイズ、統合の基本的な手順と要件を解説。 - [アカウント全体のクエリエンジンの指定](https://docs.treasure.ai/ja/products/control-panel/specifying-the-account-wide-query-engine.md): Treasure AIのアカウント全体のデフォルトクエリエンジン（Presto/Hive）を設定する手順を解説します。コントロールパネルでの簡単な設定方法を説明。 - [クエリエンジンの指定](https://docs.treasure.ai/ja/products/control-panel/specifying-your-query-engine.md): Treasure AIのクエリエンジン選択について、Presto、Hiveの特徴と使い分けを解説。大規模データ処理やアドホッククエリに最適なエンジンを理解できます。 - [データベース権限の表示](https://docs.treasure.ai/ja/products/control-panel/viewing-database-permissions.md): Treasure AIコントロールパネルでデータベース権限を表示する方法を解説。ユーザー、アカウントオーナー、管理者向けの詳細な手順を紹介します。 - [アカウントオーナー情報の変更](https://docs.treasure.ai/ja/products/my-settings/changing-the-account-owner-information.md): Treasure コンソールでアカウントオーナーの個人情報を安全に変更する方法を説明します。名前、メールアドレス、電話番号の編集手順を詳しく解説します。 - [Customer Data Platform](https://docs.treasure.ai/ja/products/customer-data-platform.md): Treasure AI Customer Data Platformの概要 - CompleteモードとComposableモードで利用可能。 - [メールアドレスの変更](https://docs.treasure.ai/ja/products/my-settings/changing-your-email-address.md): Treasure コンソールでメールアドレスを安全に変更する手順を説明。パスワード確認と確認メールによる認証プロセスを詳しく解説。 - [パスワードの変更](https://docs.treasure.ai/ja/products/my-settings/changing-your-password.md): Treasure コンソールでパスワードを安全に変更する方法を説明します。セキュリティポリシーと手順を詳しく解説します。 - [APIキーの取得](https://docs.treasure.ai/ja/products/my-settings/getting-your-api-keys.md): Treasure AIのユーザーが、APIキーの種類と取得方法を理解し、安全に管理するためのガイドを提供します。 - [マイ設定について](https://docs.treasure.ai/ja/products/my-settings.md): Treasure AIのマイ設定ペインで、プロフィール編集、APIキー管理、リソース確認など、アカウント設定を簡単に操作できます。 - [Google SSOでのログイン](https://docs.treasure.ai/ja/products/my-settings/logging-in-with-google-sso.md): Google SSOを使用してTreasure コンソールにログインする方法と、認証設定の変更手順を詳しく解説します。 - [Activation](https://docs.treasure.ai/ja/products/marketing-cloud.md): Treasure AI Activation - Customer Data Platform上に構築されたAI搭載のエンゲージメントおよびパーソナライゼーション。 - [ユーザープロファイルの管理](https://docs.treasure.ai/ja/products/my-settings/managing-your-user-profile.md): Treasure AIでユーザープロファイルを管理する方法を解説。APIキー、メールアドレス、パスワード変更など、アカウント設定の詳細ガイド。 - [Googleエイリアスの使用](https://docs.treasure.ai/ja/products/my-settings/using-google-aliases.md): Googleエイリアスを使用してTreasure AIコンソールにログインする方法を解説。異なるメールエイリアスでアカウントにアクセスする手順を紹介します。 - [2026年4月リリースノート](https://docs.treasure.ai/ja/release-notes/2026/april-2026-release-note.md): Treasure AI Voiceの提供開始、Treasure AI Studioの一般提供開始、SnowflakeおよびDatabricks向けComposable Audience Studio、Engage StudioのLINEメッセージングチャネル、UTMパラメーター編集、Salesforce External Client App認証、Yahoo! Ads Conversion API V2、CSVパーサーの文字列リテラルサポート、Amazon Ads Conversion APIエクスポートコネクター、TLS 1.2の脆弱な暗号スイートの廃止予定。 - [2025年11月リリースノート](https://docs.treasure.ai/ja/release-notes/2025/november-2025-release-note.md) - [2026年8月リリースノート](https://docs.treasure.ai/ja/release-notes/2026/august-2026-release-note.md): Engage StudioでLINE OAのAlways-onキャンペーンが利用可能に。Google Enhanced Conversions Export コネクタが Google Data Manager API に対応。Azure Blob Storage Import コネクタが SAS 認証をサポート。ログインページの「Remember Me」機能が廃止されました。 - [TD Toolbelt Man ページへのアクセス](https://docs.treasure.ai/ja/tools/cli-and-sdks/accessing-the-td-toolbelt-man-pages.md) - [2026年7月リリースノート](https://docs.treasure.ai/ja/release-notes/2026/july-2026-release-note.md): AI Studio のカスタムスキル共有とカスタムインストラクション、韓国（ap02）リージョンでの提供開始、チャットからのコネクション作成、作業フォルダとサイドバーの刷新、新しいチャットのためのデフォルト作業フォルダ、Engage Studio の HTML Email Hosting、Iterable エクスポートコネクターの Truncate モード、プロファイル更新とオーディエンスエクスポート用の Batch Export Connector、Yahoo! JAPAN Ads の LINE Ads カスタムオーディエンス移行サポート、BigQuery Output Connector の Workload Identity Federation (WIF) 認証対応、Personalization API の td_ip および td_global_id エンリッチメント、Lookup Catalog によるリアルタイムパーソナライゼーション、AI Studio の GitHub コネクタ、AI Agent Foundry における Nova Canvas 画像生成モデルの提供終了予定、「Remember Me」サインインオプションの廃止について。 - [API リファレンスとツールリファレンス](https://docs.treasure.ai/ja/tools/cli-and-sdks/api-references-and-tool-references.md) - [2026年5月リリースノート](https://docs.treasure.ai/ja/release-notes/2026/may-2026-release-note.md): Engage Studioの非PIIエンゲージメントイベントロギング、Engage Studio API向けステータスページコンポーネント、Shopify Webhookストリーミング受信コネクタ、GCSエクスポートのWorkload Identity Federationサポート、Salesforce Marketing Cloudの行ベースデータ保持、Real-Time設定のローンチステージ進捗インジケーター、Real-Time AIデバッグスキル、Hive DELETEサポート、Real-Timeジャーニーの再エントリー禁止オプション、BigQuery向けComposable Audience Studio、APIキー有効期限ポリシー、ワークフロートリガー。 - [2026年6月リリースノート](https://docs.treasure.ai/ja/release-notes/2026/june-2026-release-note.md): Treasure AI Voice のサマリーテンプレート、AI Agent FoundryでのClaude Sonnet 4.6サポート、AI Studio エージェントによる Web 検索、AI Studio のプラグインマーケットプレイス、AI Studio の Databricks コネクタ、AI Studio の Snowflake コネクタ、AI Studio のクレジット利用状況とクレジットポリシー、AI Studio の画像生成、AI Studio のユーザー単位アクセス制御、Engage Studio における SMS、Engage Studio の In-Browser Message エディターとポップアップ統合、Engage Studio — Web Message Previewer Chrome 拡張機能、Engage Studio の LINE Flex Message 対応、iOS プッシュ通知の配信イベントと削除イベントのトラッキング、Google Campaign Manager 360 Enhanced Conversions エクスポートコネクター、Yelp Ads Conversion API エクスポートコネクター、Selligent (Marigold Engage) エクスポートコネクター、Batch インポートコネクター（キャンペーン結果）、ワークフロープール、トータルカウンターアトリビュートの改善、On-Demand Journey Execution、カラムレベルアクセス制御ユーザーのジョブ表示改善、リアルタイムWebコンテンツパーソナライゼーションのための Personalization Studio、Composable Audience Studio 向け Premium Audit Log イベント、Composable Audience Studio 向けポリシーベースパーミッション。 - [TD Toolbelt を使用した TD の認証設定](https://docs.treasure.ai/ja/tools/cli-and-sdks/configuring-authentication-for-td-using-the-td-toolbelt.md) - [TD Toolbeltを使用したTDエンドポイントの設定](https://docs.treasure.ai/ja/tools/cli-and-sdks/configuring-your-td-endpoint-using-td-toolbelt.md) - [データサイエンスとSQLツール](https://docs.treasure.ai/ja/tools/cli-and-sdks/data-science-and-sql-tools.md) - [TD Toolbelt Workflow モジュールのインストール](https://docs.treasure.ai/ja/tools/cli-and-sdks/install-td-toolbelt-workflow-module.md) - [Python、Pandas、Matplotlib、Jupyter Notebook、Pytd のインストール](https://docs.treasure.ai/ja/tools/cli-and-sdks/installing-python-pandas-matplotlib-jupyter-notebook-pytd.md) - [データサイエンスツールおよびSQLツールとの統合](https://docs.treasure.ai/ja/tools/cli-and-sdks/integrating-with-data-science-and-sql-tools.md) - [Trino 用 JDBC ドライバ](https://docs.treasure.ai/ja/tools/cli-and-sdks/jdbc-driver-for-presto.md) - [REST API を使用したタグのリストと確認](https://docs.treasure.ai/ja/tools/cli-and-sdks/listing-and-reviewing-tags-using-the-rest-api.md) - [REST API を使用したジャーニー内のアクティベーションの管理](https://docs.treasure.ai/ja/tools/cli-and-sdks/managing-activations-inside-a-journey-using-the-rest-api.md) - [Linux 用 TD Toolbelt と Treasure Agent の入手](https://docs.treasure.ai/ja/tools/cli-and-sdks/obtaining-td-toolbelt-and-treasure-agent-for-linux.md) - [Trino 用 ODBC ドライバ](https://docs.treasure.ai/ja/tools/cli-and-sdks/odbc-driver-for-presto.md): Windows用Presto ODBCドライバを使用してTreasure AIに接続 - [Treasure Data 用 Pandas と Jupyter の設定](https://docs.treasure.ai/ja/tools/cli-and-sdks/pandas-and-jupyter-configuration-for-treasure-data.md) - [コマンドラインから Treasure Data へのクエリとデータインポート](https://docs.treasure.ai/ja/tools/cli-and-sdks/querying-and-importing-data-to-treasure-data-from-the-command-line.md) - [プロキシ経由で TD Toolbelt を使用する](https://docs.treasure.ai/ja/tools/cli-and-sdks/proxy-access.md) - [TD Toolbelt クイックスタート](https://docs.treasure.ai/ja/tools/cli-and-sdks/quickstart.md): Treasure AI 用の TD Toolbelt コマンドラインインターフェースのインストールと使用方法 - [R 言語ドライバのインストール](https://docs.treasure.ai/ja/tools/cli-and-sdks/r-language-driver-install.md) - [RazorSQL のインストールと TD での使用](https://docs.treasure.ai/ja/tools/cli-and-sdks/razorsql-install-and-use-with-td.md) - [API キーと API サーバーの検索順序リファレンス](https://docs.treasure.ai/ja/tools/cli-and-sdks/search-order.md) - [SQuirrel SQL のインストールと TD での使用](https://docs.treasure.ai/ja/tools/cli-and-sdks/squirrel-sql-install-and-use-with-td.md) - [SQL Workbench J](https://docs.treasure.ai/ja/tools/cli-and-sdks/sql-workbench-j.md) - [Windows バッチファイルの TD インポート時刻形式の設定](https://docs.treasure.ai/ja/tools/cli-and-sdks/setting-the-td-import-time-format-for-a-windows-batch-file.md) - [データベースドライバを使用したデータのインポート](https://docs.treasure.ai/ja/tools/cli-and-sdks/using-database-drivers-to-import-your-data.md) - [TD Toolbelt を使用したデータのインポート](https://docs.treasure.ai/ja/tools/cli-and-sdks/using-td-toolbelt-to-import-data.md) - [デフォルトのキーボードショートカット](https://docs.treasure.ai/ja/tools/td-console/default-keyboard-shortcuts.md) - [Treasure コンソール にログイン](https://docs.treasure.ai/ja/tools/td-console/log-in-to-td-console.md) - [Internet Explorer 11のTreasure コンソールサポート終了](https://docs.treasure.ai/ja/tools/td-console/removal-of-td-console-support-for-internet-explorer-11.md) - [API Key Expiration Policy](https://docs.treasure.ai/products/control-panel/security/api-key/api-key-expiration-policy.md): Configure API key expiration policies in Treasure AI to enforce regular key rotation at the system or user level. - [Configuring Expiration Reminders](https://docs.treasure.ai/products/control-panel/security/api-key/configuring-expiration-reminders.md): Set up automated email and console notifications to alert API key owners before their keys expire in Treasure AI. - [About API Keys](https://docs.treasure.ai/products/control-panel/security/api-key.md): Learn about API key types and management in Treasure AI, including Master keys, Write-only keys, and expiration policies. - [Manually Expiring API Keys](https://docs.treasure.ai/products/control-panel/security/api-key/manually-expiring-api-keys.md): Learn how to immediately expire an API key in Treasure AI without deleting it, preserving audit history while deactivating access. - [Audit Logs](https://docs.treasure.ai/products/control-panel/security/auditlogs.md): Overview of standard and premium audit log features in Treasure AI for monitoring access and data usage. - [Premium Audit Log Events](https://docs.treasure.ai/products/control-panel/security/auditlogs/premium-audit-log-events.md): Complete reference of events logged by Premium Audit Logs - [Premium Audit Log Reference](https://docs.treasure.ai/products/control-panel/security/auditlogs/premium-audit-log-reference.md): Complete column schema reference for the Premium Audit Log table in Treasure AI. - [Premium Audit Logs](https://docs.treasure.ai/products/control-panel/security/auditlogs/premium-audit-logs.md): How to access and interpret the Premium Audit Log in Treasure AI, including column descriptions and usage examples. - [Standard Audit Logs](https://docs.treasure.ai/products/control-panel/security/auditlogs/standard-audit-logs.md): How to access standard audit logs and the complete list of standard audit log events in Treasure AI. - [About IP Allowlist](https://docs.treasure.ai/products/control-panel/security/ip-allowlist/about-ip-allowlist.md): Learn how IP allowlists control access to Treasure accounts, the differences between account and user IP allowlists, and management permissions for various user roles. - [About Setting IP Allowlist](https://docs.treasure.ai/products/control-panel/security/ip-allowlist/about-setting-ip-allowlist.md): Learn how to configure IP allowlists for Treasure AI accounts, including default and user-level IP restrictions to control account access and security. - [Account Level IP Allowlist](https://docs.treasure.ai/products/control-panel/security/ip-allowlist/account-level-ip-allowlist.md): Learn how to configure account-level IP allowlisting in Treasure AI to control and restrict access to your console based on specific IP addresses. - [API Key IP Allowlist](https://docs.treasure.ai/products/control-panel/security/ip-allowlist/api-key-ip-allowlist.md): Secure API key access with IP allowlisting, controlling traffic restrictions through scopes like all and api_key_only for enhanced account protection. - [Define IP Allowlist](https://docs.treasure.ai/products/control-panel/security/ip-allowlist/define-ip-allowlist.md): Learn how to define and manage IP allowlists in Treasure Console to control account and user access through specific IP addresses for enhanced security. - [Defining a User IP Allowlist](https://docs.treasure.ai/products/control-panel/security/ip-allowlist/defining-a-user-ip-allowlist.md): Learn how Account Owners and Administrators can define and manage user IP allowlists to control service access by specifying permitted IP addresses and CIDR ranges. - [Defining the Default IP Allowlist for the Treasure Account](https://docs.treasure.ai/products/control-panel/security/ip-allowlist/defining-the-default-ip-allowlist-for-the-td-account.md): Learn how to set up and manage IP allowlists for your Treasure Account, controlling access by specifying permitted IP addresses in the Treasure Console. - [IP Allowlist and Tokenize_ja](https://docs.treasure.ai/products/control-panel/security/ip-allowlist/ip-allowlist-and-tokenize_ja.md): Learn how to configure IP allowlisting and use the TOKENIZE_JA function to enable Treasure AI access to restricted Amazon S3 environments. - [IP Allowlist Exceptions](https://docs.treasure.ai/products/control-panel/security/ip-allowlist/ip-allowlist-exceptions.md): Learn about IP allowlist exceptions for SDK and API integrations, including Android, iOS, Unity, JavaScript, Postback, and Ingestion APIs. - [IP Allowlist Permissions](https://docs.treasure.ai/products/control-panel/security/ip-allowlist/ip-allowlist-permissions.md): Learn about IP Allowlist permissions for different user roles, including who can create, modify, and manage IP allowlists in an account. - [IP Allowlist](https://docs.treasure.ai/products/control-panel/security/ip-allowlist/ip-allowlist.md): Learn how to configure IP allowlists in Treasure Console to control and restrict account and user access through specific IP addresses. - [About Audience Column Visibility Control](https://docs.treasure.ai/products/control-panel/security/policies/about-audience-column-visibility-control.md): Control column visibility in Audience Studio to protect sensitive data, manage PII access, and set granular visibility rules for segment attributes and behaviors. - [About Database Access Control](https://docs.treasure.ai/products/control-panel/security/policies/about-database-access-control.md): Learn how Treasure Data's CDP enables secure database access control through policy-based permissions, protecting sensitive data across first, second, and third-party sources. - [About Policy Based Database Permissions](https://docs.treasure.ai/products/control-panel/security/policies/about-policy-based-database-permissions.md): Learn how Treasure AI's policy-based database permissions provide granular, flexible access control for precise database management and security settings. - [About Policy-based Permissions](https://docs.treasure.ai/products/control-panel/security/policies/about-policy-based-permissions.md): Learn how policy-based permissions allow owners and administrators to set granular access controls for Treasure AI features. - [Applying Policies](https://docs.treasure.ai/products/control-panel/security/policies/applying-policies.md): Learn how to apply and manage security policies to users in Treasure Console, including step-by-step instructions for assigning permissions and users to policies. - [Creating Policies](https://docs.treasure.ai/products/control-panel/security/policies/creating-policies.md): Learn how to create and manage access control policies in Treasure Console, including step-by-step instructions for adding new policies and setting permissions. - [Database Access Control Matrix](https://docs.treasure.ai/products/control-panel/security/policies/database-access-control-matrix.md): Comprehensive guide to database access control matrix, detailing user roles, permissions, and actions for master keys across Treasure Console and REST APIs. - [Deleting Policies](https://docs.treasure.ai/products/control-panel/security/policies/deleting-policies.md): Learn how to delete entire policies or remove users from policies in the Treasure Console, with step-by-step instructions for managing security access. - [How Authentications Permissions Affect Activations in the Audience Studio](https://docs.treasure.ai/products/control-panel/security/policies/how-authentications-permissions-affect-activations-in-the-audience-studio.md): Learn how authentication permissions control activation capabilities in Audience Studio, including create, edit, view, and delete actions for different user roles. - [How Authentications Permissions Affect Exporting Results](https://docs.treasure.ai/products/control-panel/security/policies/how-authentications-permissions-affect-exporting-results.md): Learn how authentication permissions impact export result capabilities, including scenarios for full, view, limited, and no authentication access levels. - [How Is Audience Studio Visibility Affected by Column Visibility Types](https://docs.treasure.ai/products/control-panel/security/policies/how-is-audience-studio-visibility-affected-by-column-visibility-types.md): Learn how column visibility types impact user access and attribute visibility in Audience Studio, including default and specific visibility settings. - [About Policies and Permissions](https://docs.treasure.ai/products/control-panel/security/policies.md): Learn how to use policies and permissions to manage user access to Treasure AI features and data, including database, workflow, Audience Studio, and authentication permissions. - [PBP Traffic Control Permissions](https://docs.treasure.ai/products/control-panel/security/policies/pbp-traffic-control-permissions.md): Configure policy-based access control for Traffic Control permissions in Treasure Console, enabling granular user access management for Audience Studio features. - [Permission Policy API](https://docs.treasure.ai/products/control-panel/security/policies/permission-policy-api.md): Learn how to manage permission policies using the Treasure Data REST API, including retrieving, creating, and configuring policies with granular access controls. - [Plan Your Policy Structure](https://docs.treasure.ai/products/control-panel/security/policies/plan-your-policy-structure.md): Plan your organization's policy structure with guidance on creating, naming, and describing security policies for effective access management and control. - [Policy Based Activation Template Permissions](https://docs.treasure.ai/products/control-panel/security/policies/policy-based-activation-template-permissions.md): Define and manage policy-based activation template permissions in the Treasure Console, controlling user access levels for creating, editing, and publishing templates. - [Policies Example Scenarios](https://docs.treasure.ai/products/control-panel/security/policies/policies-example-scenarios.md): Real-world examples of policy configurations for different use cases - [Policy Based Audience Studio Permissions](https://docs.treasure.ai/products/control-panel/security/policies/policy-based-audience-studio-permissions.md): Configure granular access controls for Audience Studio, setting user permissions for Segment Folders, Profiles, Predictive Scoring, and API Tokens with varying access levels. - [Policy Based Authentications Permissions](https://docs.treasure.ai/products/control-panel/security/policies/policy-based-authentications-permissions.md): Learn how to configure and manage policy-based authentication permissions in Treasureline Console through UI and API, with detailed steps for access control setup. - [Policy Based Column Level Access Control Permissions](https://docs.treasure.ai/products/control-panel/security/policies/policy-based-column-level-access-control-permissions.md): Define granular column-level access control policies using tag-based permissions to control user visibility and querying capabilities for sensitive data columns. - [Policy Based Composable Audience Studio Permissions](https://docs.treasure.ai/products/control-panel/security/policies/policy-based-composable-audience-studio-permissions.md): Configure policy-based permissions for Composable Audience Studio parent segments and folders, and see which Audience Studio features it doesn't support. - [Policy Based Data Workbench Permissions](https://docs.treasure.ai/products/control-panel/security/policies/policy-based-data-workbench-permissions.md): Configure workflow, parent segment, and export permissions using policies - [Policy Based Database Permissions Matrix](https://docs.treasure.ai/products/control-panel/security/policies/policy-based-database-permissions-matrix.md): Comprehensive guide to policy-based database permissions, detailing access levels, permission types, and controls for database management in Treasure Console. - [Policy Based LLM Permissions](https://docs.treasure.ai/products/control-panel/security/policies/policy-based-llm-permissions.md): Learn how to configure policy-based Large Language Model (LLM) permissions in the Treasure Console, controlling user access levels for AI projects. - [Predictive Scoring and Folder Based Permission Overview](https://docs.treasure.ai/products/control-panel/security/policies/predictive-scoring-and-folder-based-permission-overview-1.md): Learn how folder-based permissions control access to predictive scoring models, defining view and full control rights for segments, funnels, and other entities. - [Setting Audience Column Visibility](https://docs.treasure.ai/products/control-panel/security/policies/setting-audience-column-visibility.md): Learn how to set audience column visibility in Treasure Console by creating policies that control attribute and behavior access for parent segments. - [Setting Authentications Permissions in Treasure Console](https://docs.treasure.ai/products/control-panel/security/policies/setting-authentications-permissions-in-td-console.md): Configure authentication permissions in Treasure Console, including global and limited access options for administrators to control user authentication settings and access levels. - [Setting Authentications Permissions Through the API](https://docs.treasure.ai/products/control-panel/security/policies/setting-authentications-permissions-through-the-api.md): Learn how to set authentication permissions through the Treasure AI API, including access control policies, user permissions, and authentication management. - [Policy Based Journey Permissions for Batch Journeys](https://docs.treasure.ai/products/control-panel/security/policies/policy-based-journey-permissions-for-batch-journeys.md): Control batch journey access with policy-based permissions in Customer Journey Orchestration, defining user roles from view-only to full journey management access. - [Setting Database Authentications Permissions](https://docs.treasure.ai/products/control-panel/security/policies/setting-database-authentications-permissions.md): Learn how to set database authentication permissions for users, including import, query, and full access levels in the Treasure Control Panel. - [Setting Policy Based Audience Studio Permissions Using Treasure Console](https://docs.treasure.ai/products/control-panel/security/policies/setting-policy-based-audience-studio-permissions-using-td-console.md): Learn how to set granular user permissions for Audience Studio in Treasure Console, controlling access to segments, profiles, scoring, and API tokens. - [Setting Policy Based Database Permissions in Treasure Console](https://docs.treasure.ai/products/control-panel/security/policies/setting-policy-based-database-permissions-in-td-console.md): Learn how to configure granular, policy-based database permissions in Treasure Console, controlling user access levels and database management capabilities. - [Setting Policy Based Database Permissions Using the API](https://docs.treasure.ai/products/control-panel/security/policies/setting-policy-based-database-permissions-using-the-api.md): Use the API to grant users specific database access permissions - [Setting Workflow and Audience Studio LLM Permissions](https://docs.treasure.ai/products/control-panel/security/policies/setting-workflow-and-audience-studio-llm-permissions.md): Learn how to assign Workflow and Audience Studio permissions to users in the Treasure Console, including view, run, and edit access levels for projects. - [Verifying Successful Migration to Policy Based Database Permissions](https://docs.treasure.ai/products/control-panel/security/policies/verifying-successful-migration-to-policy-based-database-permissions.md): Verify successful migration to Policy-based Database Permissions, including checking default admin access and confirming user-level database permissions after transitioning from legacy settings. - [Account Password Policy Settings](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/about-account-password-policy-settings.md): Configure password policy settings for Treasure AI accounts, including length, expiration, history, and complexity requirements for enhanced security. - [Action Required When SSO Users Are Removed](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/action-required-when-sso-users-are-removed.md): Learn how to properly remove SSO users from Treasure AI, prevent unauthorized access, and manage user sessions after identity provider deletions. - [Configuration Values for Microsoft Entra ID SSO](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/configuration-values-for-microsoft-entra-id-sso.md): Comprehensive guide to configuring Microsoft Entra ID SSO in Treasure Console, covering pre-populated fields, required settings, and implementation considerations. - [Configuration Values for Okta SSO](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/configuration-values-for-okta-sso.md): Step-by-step guide to configuring Okta SSO in Treasure Console, including how to set up identity provider details, upload certificates, and manage sign-in settings. - [Configuring Microsoft Entra ID SAML 2 0 for SSO](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/configuring-microsoft-entra-id-saml-2-0-for-sso.md): Comprehensive guide to configuring Microsoft Entra ID SAML 2.0 for single sign-on, covering enterprise application setup and identity federation steps. - [Configuring SSO in Treasure Console](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/configuring-sso-in-td-console.md): Step-by-step guide to configuring Single Sign-On (SSO) in Treasure Console, covering prerequisites, Identity Provider setup, and managing secure user access for administrators. - [Configuring Values for Pingfederate for SSO](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/configuring-values-for-pingfederate-for-sso.md): Step-by-step guide to configuring PingFederate SSO in Treasure Console, including limitations, setup process, and adding users to Identity Federation. - [Configuring Values for Pingone for Enterprise SSO](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/configuring-values-for-pingone-for-enterprise-sso.md): Step-by-step guide to configuring PingOne for Enterprise SSO in Treasure Console, including how to set up identity federation, manage users, and understand key limitations. - [Configuring Your Okta IdP Environment](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/configuring-your-okta-idp-environment.md): Step-by-step guide to configuring Okta Identity Provider for Treasure AI, including application setup, SSO configuration, and user assignment process. - [Define Sign in Settings](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/define-sign-in-settings.md): You can use sign-in settings to control user access methods to the Treasure Console. - [Setting Session Timeout for SSO](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/setting-session-timeout-for-sso.md): Configure session and timeout for Single Sign-On (SS)O to enhance security and control and manage user authentication duration across enterprise identity providers. settings.: a description page. - [Setting Up Session Timeouts for One User](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/setting-up-session-timeouts-for-one-user.md): If you are using SSO, this can be an additional step that you advise each user to define. It is recommended to set up session timeout for SSO - [Signing in As a User of Identity Federation Legacy](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/signing-in-as-a-user-of-identity-federation-legacy.md): As a user with permission to use the single sign-in method for multiple accounts, you access the sign-in page through a link provided by the account owner or administrator. - [Signing in As an SSO User](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/signing-in-as-an-sso-user.md): Learn how to sign in as an SSO user, manage session security, control login timeouts, and access the platform using a provided sign-in URL. - [Single Sign on](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/single-sign-on.md): Implement Single Sign-On (SSO) for secure, centralized user authentication across Treasure accounts using federated identity management and identity providers. - [Specifying Maximum Login Attempts and Session Timeout](https://docs.treasure.ai/products/control-panel/security/sign-in-settings/specifying-maximum-login-attempts-and-session-timeout.md): Configure maximum login attempts and session timeout settings in the Control Panel to enhance security, control user access, and prevent unauthorized account access. - [About Column Level Access Control](https://docs.treasure.ai/products/control-panel/security/tag-management/about-column-level-access-control.md): Learn how Treasure AI column-level access control allows administrators to tag column data, define policies, and assign them to users for granular database access. - [About Tags](https://docs.treasure.ai/products/control-panel/security/tag-management/about-tags.md): Learn how Treasure AI tags provide additional security for access to private or sensitive data, including column tags and policy-based permissions. - [Annotated Schema APIs for Data Classification](https://docs.treasure.ai/products/control-panel/security/tag-management/annotated-schema-apis-for-data-classification.md): Use the Annotated Schema API to tag columns with custom data classification tags, list tags, and search for tagged columns in Treasure AI. - [Attaching and Searching for Tags Using the REST API](https://docs.treasure.ai/products/control-panel/security/tag-management/attaching-and-searching-for-tags-using-the-rest-api.md): Learn how to attach tags to columns and workflows, and search databases, projects, and workflows by tag using the Treasure AI REST API. - [Attaching Tags to Columns](https://docs.treasure.ai/products/control-panel/security/tag-management/attaching-tags-to-columns.md): Learn how to attach policy and resource tags to database columns in Treasure AI based on your database permissions. - [Attaching Tags to Projects and Workflows](https://docs.treasure.ai/products/control-panel/security/tag-management/attaching-tags-to-projects-and-workflows.md): Learn how to attach resource tags to projects and user-defined workflows in Treasure AI. - [Creating, Editing, and Deleting Tags Using the REST API](https://docs.treasure.ai/products/control-panel/security/tag-management/creating-editing-and-deleting-tags-using-the-rest-api.md): Learn how to create, edit, and delete tags using the Treasure AI REST API for column-level access control. - [Creating, Editing, and Deleting Tags](https://docs.treasure.ai/products/control-panel/security/tag-management/creating-editing-and-deleting-tags.md): Learn how administrators can create, edit, and delete tags in Treasure AI for column-level access control and resource annotation. - [Implementing Column Level Access Control](https://docs.treasure.ai/products/control-panel/security/tag-management/implementing-column-level-access-control.md): Step-by-step guide to implementing column-level access control in Treasure AI using tags, policies, and permissions. - [Reviewing Tag Information](https://docs.treasure.ai/products/control-panel/security/tag-management/reviewing-tag-information.md): Learn how to review tag details, column usage, and policy associations in Treasure AI Tag Management. - [Searching and Filtering for Databases and Tables with Tags](https://docs.treasure.ai/products/control-panel/security/tag-management/searching-and-filtering-for-databases-and-tables-with-tags.md): Learn how to search and filter for databases and tables using tags in Treasure AI to find information quickly. - [Tag-Based Access Control Using the REST API](https://docs.treasure.ai/products/control-panel/security/tag-management/tag-based-access-control-using-the-rest-api.md): Learn how to create column-level access control using the Permission Policy API with policy tags to restrict or permit column accessibility. - [Understanding Access Control for Column Tags](https://docs.treasure.ai/products/control-panel/security/tag-management/understanding-access-control-for-column-tags.md): Review the authorization matrix for column tag access control based on database policy-based permissions in Treasure AI. - [Understanding Access Control for Tags](https://docs.treasure.ai/products/control-panel/security/tag-management/understanding-access-control-for-tags.md): Learn how database permissions control tag management access for administrators and restricted users in Treasure AI. - [Adding New Users](https://docs.treasure.ai/products/control-panel/security/users/adding-new-users.md): Learn how to add new users to Treasure Data, including step-by-step instructions for inviting individual users and managing user accounts through the Control Panel. - [Backward Compatibility of Password Policies](https://docs.treasure.ai/products/control-panel/security/users/backward-compatibility-of-password-policies.md): Learn how password policy changes affect existing user accounts, including notifications, login requirements, and automatic password updates. - [Changing User Types](https://docs.treasure.ai/products/control-panel/security/users/changing-user-types.md): Learn how to modify user roles and permissions in the Treasure Console, including steps to change a user's access level from restricted to admin. - [Controlling AI Studio Access per User](https://docs.treasure.ai/products/control-panel/security/users/controlling-ai-studio-access.md): Use the Treasure AI REST API to control, per user, whether each user in your account can access Treasure AI Studio. Grant or remove access for individual users with an account administrator API key. - [Creating Delegated Groups](https://docs.treasure.ai/products/control-panel/security/users/creating-delegated-groups.md): Learn how TD Admins can create Delegated Groups, assign policies, and manage regional teams with granular access controls in the global platform. - [Delegated Groups](https://docs.treasure.ai/products/control-panel/security/users/delegated-groups.md): Manage user access and permissions across global regions with Delegated Groups, enabling regional admins to control user accounts and data securely. - [Deleted Users and the Impact on Existing Resources](https://docs.treasure.ai/products/control-panel/security/users/deleted-users-and-the-impact-on-existing-resources.md): Learn how user deletion impacts resources like API keys, audiences, and databases, and understand the steps to manage ownership and prevent workflow disruptions. - [Deleting Users](https://docs.treasure.ai/products/control-panel/security/users/deleting-users.md): Learn how to delete users in Treasure AI, manage API key security, and understand user authorization levels for account administrators. - [User Management](https://docs.treasure.ai/products/control-panel/security/users.md): Learn how to manage users in Treasure AI, including creating users, changing user types, configuring password policies, and organizing users with delegated groups. - [Managing Delegated Groups](https://docs.treasure.ai/products/control-panel/security/users/managing-delegated-groups.md): Learn how Delegated Admins can view, edit, and manage group memberships, policies, and user access in the Control Panel's Security section. - [Managing the Sign in Mode of an SSO User](https://docs.treasure.ai/products/control-panel/security/users/managing-the-sign-in-mode-of-an-sso-user.md): Guide for account owners and administrators on changing SSO user sign-in methods, including how to view, add, and remove SSO access for individual users. - [Types of Users in a Treasure Account](https://docs.treasure.ai/products/control-panel/security/users/types-of-users-in-a-treasure-data-account.md): Learn about the three user types in Treasure AI: Owner, Administrator, and Restricted User, with their specific permissions and access levels. - [Creating a User Prompt](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/ai-agent/creating-a-user-prompt.md): Learn how to create a user prompt in AI Agent Foundry, define the initial user input, and configure settings for agent interactions and integrations. - [Creating an Agent](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/ai-agent/creating-an-agent.md): Learn how to create AI agents in Treasure Console, including defining details, system prompts, tools, targets, and configuring agent outputs and variables. - [Best Practices for Agent System Prompts](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/ai-agent/system-prompt-best-practices.md): I understand my role and will follow these guidelines. ## Core Capabilities - [Capability 1] - [Capability 2] - [Capability 3] ## Interaction Guidelines -... - [Creating an AI Project](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/ai-project/creating-an-ai-project.md): Learn how to create AI projects in the Customer Data Platform, including managed and self-defined project types for building knowledge bases, agents, and integrations. - [Deleting an AI Project](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/ai-project/deleting-an-ai-project.md): Step-by-step guide to deleting an AI project in Treasure Console, including permissions, navigation instructions, and important warnings about project asset deletion. - [Changing an Image Generator](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/image-generator/changing-an-image-generator.md): Learn how to update or modify Image Generator configurations in AI Agent Foundry, including editing settings and deleting existing image generation interfaces. - [Creating an Image Generator](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/image-generator/creating-an-image-generator.md): Learn how to create and configure an Image Generator in AI Agent Foundry, enabling agents to generate images using Nova Canvas with step-by-step instructions. - [Changing an Integration](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/integration/changing-an-integration.md): Step-by-step guide to editing and deleting AI Agent Foundry integrations in Treasure Console, including how to modify user prompts and remove integrations. - [Creating an Integration](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/integration/creating-an-integration.md): Learn how to create AI agent integrations in Treasure Console, including internal (Parent Segment, Generic Chat) and external (Webhook, Slack) integration types. - [Using a Webhook Integration](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/integration/using-a-webhook-integration.md): Learn how to set up and use a Webhook Integration in AI Agent Foundry, including obtaining authentication tokens and making API calls to trigger AI agents. - [Changing an Interface](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/interface/changing-an-interface.md): Step-by-step guide to editing, updating, and deleting interfaces in AI Agent Foundry, including how to modify configurations in Treasure Console. - [Creating an Interface](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/interface/creating-an-interface.md): Learn how to create a form-based interface in AI Agent Foundry, configure agent screens, and set up custom interfaces for the Workspace with detailed steps. - [Changing a Knowledge Base](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/knowledgebase/changing-a-knowledge-base.md): Learn how to modify or delete a knowledge base in AI Agent Foundry, including steps to edit name, database, and table definitions using the Treasure Console. - [Creating a Knowledge Base](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/knowledgebase/creating-a-knowledge-base.md): Learn how to create a Knowledge Base in AI Agent Foundry, configure database sources, and select format types for enhancing AI agent accuracy and performance. - [Querying a Knowledge Base](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/knowledgebase/querying-a-knowledge-base.md): Learn how to query and test AI knowledge bases using list columns, schema search, and direct SQL queries to validate data setup and accessibility. - [Configure column-level access control to keep PII out of LLMs](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/security/configure-column-level-access-control-for-pii.md): Use Treasure AI Column-Level Access Control to mask PII in Audience Studio and Data Workbench while preventing PII from reaching external LLM providers when AI Agent Foundry agents run inference. - [Deep Researcher Agent](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/foundry-workspace/deep-researcher-agent.md): Automate comprehensive research with AI-powered web search and parallel sub-agents, generating detailed, interactive reports across complex topics efficiently. - [Foundry Workspace Overview](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/foundry-workspace.md): Learn how to run and schedule AI agents in Treasure AI's Foundry Workspace, including form-type agent configuration and scheduling options. - [Using Foundry Workspace](https://docs.treasure.ai/products/customer-data-platform/ai-agent-foundry/foundry-workspace/using-foundry-workspace.md): Learn how to access and use agents in Foundry Workspace, including permissions, navigating the interface, and scheduling form-type agents for AI-powered tasks. - [Account Hierarchy](https://docs.treasure.ai/products/customer-data-platform/audience-studio/account-hierarchy/account-hierarchy.md): Learn about Account Hierarchy in Treasure AI Audience Studio, a maintenance-mode feature for organizing profiles under accounts. - [Creating an Account Hierarchy Activation](https://docs.treasure.ai/products/customer-data-platform/audience-studio/account-hierarchy/creating-an-account-hierarchy-activation.md): Learn how to create an account hierarchy activation, map group attributes, and activate segments for personalized B2B campaign targeting. - [Viewing Qualifying Profile Account Information](https://docs.treasure.ai/products/customer-data-platform/audience-studio/account-hierarchy/viewing-qualifying-profile-account-information.md): Learn how to view qualifying profile and account information in Audience Studio when creating segments with Group Hierarchy, helping validate audience targeting and segment composition. - [Activation Actions Data Export](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/activation-actions-data-export.md): Learn how Activation Actions modifies data export processes by storing results in an internal Treasure AI table for custom workflow processing and external application integration. - [Activation Actions Parameters](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/activation-actions-parameters.md): Comprehensive guide to Activation Actions Parameters, detailing built-in workflow parameters for custom segment and audience activation processes in CDP. - [Activation Actions](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/activation-actions.md): Learn how to use Activation Actions to run custom workflows during activation, enabling data transformation, compliance checks, and differential activation. - [Activation Log Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/activation-log-overview.md): Learn how to use Treasure AI's Activation Log to track activation events and ensure compliance with privacy laws. - [Activation Schedule Examples](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/activation-schedule-examples.md): Learn how to schedule audience activations with practical examples, including one-time, hourly, daily, weekly, and monthly activation scheduling techniques. - [Activation Template Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/activation-template-overview.md): Learn how Activation Templates simplify data export for marketers and engineers, enabling precise segment and journey data activation with pre-configured templates and locked fields. - [Activations Overview Page](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/activations-overview-page.md): View and manage batch segment activations in Audience Studio, including run status, editing, running, and deleting activations with folder-level permissions. - [Activations Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/activations-overview.md): Export customer data from Treasure Data's CDP to business intelligence and marketing tools with customizable export targets, scheduling, and workflow processing. - [Behavior Activation in Journeys](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/behavior-activation-in-journeys.md): Learn how to leverage customer behavior data in marketing journeys to personalize campaigns, reduce data engineering dependencies, and enhance customer experiences. - [Behavior Activation Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/behavior-activation-overview.md): Learn how Behavior Activation enables exporting raw customer behavior data for marketing, personalization, and customer experience campaigns across platforms. - [Behavior Activations Any Operator Enhancements and Logic Updates](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/behavior-activations-any-operator-enhancements-and-logic-updates.md): Explore new Treasure AI Audience Studio enhancements for behavior activations, including Match Logic ANY operator and multi-rule set behavior table support for advanced data segmentation. - [Changing an Activation Template](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/changing-an-activation-template.md): Learn how data engineers can edit, publish, and manage activation templates, including steps for modification, duplication, and deletion in Audience Studio. - [Configure Activation Actions](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/configure-activation-actions.md): Learn how to configure Activation Actions in Audience Studio, create custom workflows, and assign them to activations with specific permissions and parameters. - [Configure Incremental Activation](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/configure-incremental-activation.md): Learn how to set up Incremental Activation for segments, create a user-defined workflow, configure parameters, and process delta changes in your customer data platform. - [Configuring Behavior Activation](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/configuring-behavior-activation.md): Learn how to enable and configure Behavior Activation to export behavior data with segment activations in Audience Studio. - [Copy an Activation](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/copy-an-activation.md): Learn how to efficiently copy and reuse existing activations across segments, streamlining the process of activating customer data to external platforms. - [Create an Activation](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/create-an-activation.md): Learn how to create and configure audience segment activations in Audience Studio, including step-by-step instructions for exporting customer data. - [Create New Strings for Export Using String Builder](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/create-new-strings-for-export-using-string-builder.md): Learn how to use String Builder in Treasure AI's Audience Studio to create custom export strings for tracking segments, campaigns, and export details. - [Creating an Activation Template](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/creating-an-activation-template.md): Learn how data engineers create, manage, and configure activation templates in Audience Studio, including permissions, inheritance rules, and batch activation setup. - [Customize Activation Output](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/customize-activation-output.md): Learn how to customize activation output by mapping columns, adding specific attributes, and using the String Builder for precise data export configurations. - [Delete an Activation](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/delete-an-activation.md): Learn how to delete an activation in Audience Studio using Treasure Console, with step-by-step instructions for removing segment activations quickly and easily. - [Editing an Activation After Deleting a Template](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/editing-an-activation-after-deleting-a-template.md): Learn how to manage and edit activations in Audience Studio after a template deletion, with steps to restore or modify your data activation workflow. - [Enter Activation Details](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/enter-activation-details.md): Learn how to enter activation details manually or using existing activations and templates in the Customer Data Platform's Audience Studio. - [Incremental Activation Mappings](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/incremental-activation-mappings.md): Learn how to define Incremental Activation mappings to control how profile changes are processed and sent to destination platforms during data synchronization. - [Incremental Activation with Activation Actions - Beta](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/incremental-activation-overview.md): Learn how Incremental Activation reduces costs, optimizes performance, and improves accuracy when syncing segment data to third-party platforms. - [Incremental Activation Parameters](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/incremental-activation-parameters.md): Reference for all parameters used in the Incremental Activation workflow template, including API endpoint, ID key, delta keys, and activation mappings. - [Incremental Activation Standalone Workflow](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/incremental-activation-standalone-workflow.md): Learn how to perform delta exports directly from TD tables using Incremental Activation standalone workflow, with manual configuration and scheduling options. - [Schedule an Activation](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/schedule-an-activation.md): Schedule batch segment activations with flexible one-time and recurring options across time zones in Treasure Data's Audience Studio, including detailed scheduling controls and time zone settings. - [Incremental Activation Workflow Templates](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/incremental-activation-workflow-templates.md): Discover pre-built workflow templates for Incremental Activation, enabling efficient profile syncing across destinations with customizable options for adding, updating, and removing profiles. - [Nester Workflow Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/nester-workflow-overview.md): Learn how to configure nested workflow activations, trigger workflow jobs after activation, and manage sequential activation for data processing. - [Troubleshooting Incremental Activation](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/troubleshooting-incremental-activation.md): Troubleshoot Incremental Activation workflows with this guide, covering common issues like duplicate ID key errors, unexpected full exports, and strategies for resolving data synchronization challenges. - [Viewing and Using Activation Templates](https://docs.treasure.ai/products/customer-data-platform/audience-studio/activation/viewing-and-using-activation-templates.md): Learn how administrators can view, select, and use activation templates in Audience Studio to streamline campaign creation and data activation processes. - [Audience Agent Chart Types](https://docs.treasure.ai/products/customer-data-platform/audience-studio/audience-agent/audience-agent-chart-types.md): Explore Audience Agent's chart types including scatter plots, bar charts, line charts, and contour plots for advanced data visualization and analysis. - [Audience Agent Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/audience-agent/audience-agent-overview.md): Discover how Treasure AI's Audience Agent uses machine learning to help marketers create precise, actionable audience segments through natural language interaction and advanced segmentation. - [Reviewing Audience Agent Charting Information](https://docs.treasure.ai/products/customer-data-platform/audience-studio/audience-agent/reviewing-audience-agent-charting-information.md): Learn how to review and interpret Audience Agent charting information, explore data insights, and refine marketing segment strategies with interactive visualizations. - [Reviewing Audience Agent Chat History](https://docs.treasure.ai/products/customer-data-platform/audience-studio/audience-agent/reviewing-marketing-copilot-chat-history.md): Learn how to review and access your Audience Agent chat history in Treasure Console, organized by today, past week, and past month. - [Using Audience Agent to Create a Segment](https://docs.treasure.ai/products/customer-data-platform/audience-studio/audience-agent/using-audience-agent-to-create-a-segment.md): Learn how to use Audience Agent to analyze customer data, create targeted segments, and leverage insights in the Segment Editor with step-by-step guidance. - [Creating a Householding Activation](https://docs.treasure.ai/products/customer-data-platform/audience-studio/householding/creating-a-householding-activation.md): Learn how to create a householding activation for batch segments, enabling group attribute personalization and downstream system targeting. - [Householding Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/householding/householding-overview.md): Learn how Householding enables marketers to organize individual profiles into two-level group hierarchies, leveraging household attributes and behaviors for targeted marketing. - [Viewing Qualifying Profile Householding Information](https://docs.treasure.ai/products/customer-data-platform/audience-studio/householding/viewing-qualifying-profile-householding-information.md): Learn how to view qualifying profile householding information in Audience Studio, including segment rule insights and household-level profile counts. - [Create a Predictive Model](https://docs.treasure.ai/products/customer-data-platform/audience-studio/predictivemodel/create-a-predictive-model-1.md): Learn how to create a predictive model in Audience Studio, select training populations, and improve segment targeting with step-by-step guidance for machine learning. - [Feature Guess Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/predictivemodel/feature-guess-overview-1.md): Learn how Predictive Scoring's Feature Guess automatically suggests relevant features and preprocessing rules from parent segment attributes. - [Predictive Scoring Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/predictivemodel/predictive-scoring-overview.md): Learn how predictive scoring helps marketers understand customer behavior using machine learning, without requiring technical expertise in data science. - [Retrain a Predictive Model](https://docs.treasure.ai/products/customer-data-platform/audience-studio/predictivemodel/retrain-a-predictive-model-1.md): Learn how to retrain predictive models in Audience Studio by updating parent segments and selecting models for retraining with step-by-step instructions. - [Review Predictive Model Performance](https://docs.treasure.ai/products/customer-data-platform/audience-studio/predictivemodel/review-predictive-model-performance-1.md): Learn how to validate predictive model accuracy in Treasure Console by reviewing performance metrics, summary indicators, and detailed evaluation reports. - [Review Predictive Scores Attributes and Behaviors](https://docs.treasure.ai/products/customer-data-platform/audience-studio/predictivemodel/review-predictive-scores-attributes-and-behaviors-1.md): Explore how to review predictive scores, analyze customer profile attributes, and assess behavior likelihood in Audience Studio's comprehensive reporting interface. - [Change a Profiles API Token](https://docs.treasure.ai/products/customer-data-platform/audience-studio/profiles/change-a-profiles-api-token.md): Step-by-step guide to editing, moving, duplicating, and deleting Profiles API tokens in Audience Studio, helping users manage token configurations effectively. - [Create a Profiles API Token](https://docs.treasure.ai/products/customer-data-platform/audience-studio/profiles/create-a-profiles-api-token.md): Learn how to create a Profiles API token in Audience Studio, including naming, configuring token settings, and adding segments with specific permissions. - [About Profiles and the Profiles API Tokens](https://docs.treasure.ai/products/customer-data-platform/audience-studio/profiles.md): Explore how Profiles API Tokens enable personalized customer experiences, segment data, and enhance website targeting with detailed customer information and segmentation. - [Integrate TD Profiles API with Marketo Web Personalization](https://docs.treasure.ai/products/customer-data-platform/audience-studio/profiles/integrate-td-profiles-api-with-marketo-web-personalization.md): Learn how to integrate Treasure Data Profiles API with Marketo Web Personalization to create personalized customer experiences using comprehensive customer data. - [Integrate TD Profiles API With Optimizely](https://docs.treasure.ai/products/customer-data-platform/audience-studio/profiles/integrate-td-profiles-api-with-optimizely.md): Learn how to integrate Treasure AI's Profiles API with Optimizely Web Experimentation for advanced customer data and A/B testing capabilities. - [Profiles API Troubleshooting](https://docs.treasure.ai/products/customer-data-platform/audience-studio/profiles/profiles-api-troubleshooting.md): Troubleshooting guide for Profiles API, addressing segment ID routing, key column matching, API setup verification, and resolving common configuration and data synchronization issues. - [Use TD JavaScript SDK to Fetch Profile Segment Ids](https://docs.treasure.ai/products/customer-data-platform/audience-studio/profiles/use-td-javascript-sdk-to-fetch-profile-segment-ids.md): Learn how to use the Treasure AI JavaScript SDK to fetch profile segment IDs for personalized targeting and communication strategies. - [Use the Profiles API With Facebook Custom Audience](https://docs.treasure.ai/products/customer-data-platform/audience-studio/profiles/use-the-profiles-api-with-facebook-custom-audience.md): Learn how to use the Profiles API with Facebook Custom Audience to create targeted ads using Facebook Pixel without requiring user identifiers. - [Use the Profiles API With Google DFP Doubleclick for Publishers](https://docs.treasure.ai/products/customer-data-platform/audience-studio/profiles/use-the-profiles-api-with-google-dfp-doubleclick-for-publishers.md): Learn how to integrate Treasure AI's Profiles API Token with Google DFP to enable targeted advertising using custom audience segments. - [Use the Profiles API With Marketo Web Personalization](https://docs.treasure.ai/products/customer-data-platform/audience-studio/profiles/use-the-profiles-api-with-marketo-web-personalization.md): Learn how to integrate Treasure Data's Profiles API with Marketo Web Personalization to create personalized customer experiences using comprehensive data insights. - [View Profiles](https://docs.treasure.ai/products/customer-data-platform/audience-studio/profiles/view-profiles.md): View and explore customer profiles in Audience Studio, including how to access profile details, search individual profiles, and understand profile summary information. - [About Attribute Grouping](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/about-attribute-grouping.md): Learn how to create and manage custom attribute groups in Segment Audience Studio to organize marketing attributes efficiently across brands and segments. - [About Real Time Segments](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/about-real-time-segments.md): Discover how real-time segments enable instant customer insights and personalized web experiences using streaming data and historical attributes. - [Create a Real Time Segment](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/create-a-real-time-segment.md): Learn how to create real-time segments in Audience Studio, including key prerequisites, limitations, and step-by-step configuration instructions for defining audience segments. - [Create Batch Segment Rules](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/create-batch-segment-rules.md): Learn how to create and refine batch segment rules using advanced match logic, attributes, behaviors, and custom rule sets in Audience Studio. - [Creating a Batch Segment](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/creating-a-batch-segment.md): Learn how to create batch segments in Audience Studio, including step-by-step instructions for ad-hoc analytics and targeted marketing campaigns. - [Deleting Profiles From Real Time Segments](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/deleting-profiles-from-real-time-segments.md): Learn how to delete profiles from real-time segments using API workflows, ensuring compliance with privacy regulations like GDPR and CCPA. - [Drag and Reorder Rules and Rule Sets](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/drag-and-reorder-rules-and-rule-sets.md): Learn how to easily drag and drop rules and rule sets in the Audience Studio segment editor to customize and organize your customer segments. - [Edit and Delete a Segment](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/edit-and-delete-a-segment.md): Learn how to edit and delete batch and real-time segments in Treasure Console's Audience Studio with step-by-step instructions for managing customer segments. - [Exporting a Segment As a File](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/exporting-a-segment-as-a-file.md): Learn how to export a segment as a file in Treasure Console's Audience Studio, including step-by-step instructions for copying SQL code and using Query Editor. - [Finding the Segment ID](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/finding-the-segment-id.md): Learn three quick methods to locate your segment ID in Audience Studio, including right-click, navigation menu, and URL extraction techniques for API workflows. - [Searching for Segments](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/searching-for-segments.md): Learn how to efficiently search and find specific segments within a parent segment in Audience Studio using targeted search techniques. - [Segment and Activate](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/segment-and-activate.md): Learn how Treasure AI's Customer Data Platform segments and activates audience data, enabling dynamic targeting and export to marketing and analytics tools. - [Segment Editor Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/segment-editor-overview.md): Create advanced customer segments with intuitive operators, drag-and-drop rule management, and powerful matching logic in Treasure Data's Segment Editor for precise audience targeting. - [Segments Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/segments-overview.md): Learn about Treasure AI's three segment types: parent, batch, and real-time segments for customer profile data filtering and audience targeting. - [Using Audience API to Create Attribute Groupings](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/using-audience-api-to-create-attribute-groupings.md): Learn how to create attribute groupings in Treasure AI's Audience API by setting the `groupingName` field, organizing segment attributes dynamically. - [Step 6: Access Composable Audience Studio](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/databricks/access-cas.md): Access your Composable Parent Segment in Audience Studio to build segments, preview profiles, and activate audiences. - [Step 3: Configure Databricks Authentication in Integration Hub](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/databricks/configure-databricks-authentication.md): Set up the Databricks authentication connection in Treasure AI Integration Hub for Composable Audience Studio. - [Step 4: Create the Parent Segment Configuration File](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/databricks/create-parent-segment-config.md): Define the JSON configuration for a Composable Parent Segment on Databricks, including master table, attributes, and behaviors. - [Composable Audience Studio for Databricks](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/databricks.md): Set up Composable Audience Studio on Databricks using Zero-Copy federated queries to build audience segments without copying data. - [Step 1: Prepare Your Databricks Data](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/databricks/prepare-databricks-data.md): Organize your Databricks tables for Composable Audience Studio, including Customers table, Behaviors tables, and Unity Catalog permissions. - [Step 2: Set Up Databricks Authentication](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/databricks/set-up-databricks-authentication.md): Create a service principal, generate OAuth secrets, and configure workspace access for Composable Audience Studio. - [Troubleshooting Composable Audience Studio for Databricks](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/databricks/troubleshooting.md): Resolve common issues with Databricks authentication, Parent Segment uploads, and CAS UI access. - [Step 5: Upload the Configuration via CDP API](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/databricks/upload-config-api.md): Use the CDP API to upload and create a Composable Parent Segment from your Databricks configuration file. - [Step 6: Access Composable Audience Studio](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/bigquery/access-cas.md): Access your Composable Parent Segment in Audience Studio to build segments, preview profiles, and activate audiences. - [Step 3: Configure BigQuery Authentication in Integration Hub](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/bigquery/configure-bigquery-authentication.md): Set up the BigQuery authentication connection in Treasure AI Integration Hub for Composable Audience Studio. - [Step 4: Create the Parent Segment Configuration File](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/bigquery/create-parent-segment-config.md): Define the JSON configuration for a Composable Parent Segment on BigQuery, including master table, attributes, and behaviors. - [Composable Audience Studio for BigQuery](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/bigquery.md): Set up Composable Audience Studio on BigQuery using Zero-Copy federated queries to build audience segments without copying data. - [Step 1: Prepare Your BigQuery Data](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/bigquery/prepare-bigquery-data.md): Organize your BigQuery tables for Composable Audience Studio, including Customers table, Behaviors tables, and IAM permissions. - [Step 2: Set Up BigQuery Authentication](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/bigquery/set-up-bigquery-authentication.md): Create a GCP service account, grant IAM roles, and generate a JSON key for Composable Audience Studio authentication. - [Troubleshooting Composable Audience Studio for BigQuery](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/bigquery/troubleshooting.md): Resolve common issues with BigQuery authentication, Parent Segment uploads, and CAS UI access. - [Step 5: Upload the Configuration via CDP API](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/bigquery/upload-config-api.md): Use the CDP API to upload and create a Composable Parent Segment from your BigQuery configuration file. - [Step 6: Access Composable Audience Studio](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/snowflake/access-cas.md): Access your Composable Parent Segment in Audience Studio to build segments, preview profiles, and activate audiences. - [Step 3: Configure Zero-Copy in Data Workbench](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/snowflake/configure-zero-copy.md): Set up the Zero-Copy federated query connection between Treasure AI and your Snowflake instance. - [Step 4: Create the Parent Segment Configuration File](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/snowflake/create-parent-segment-config.md): Define the JSON configuration for a Composable Parent Segment on Snowflake, including master table, attributes, and behaviors. - [Composable Audience Studio for Snowflake](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/snowflake.md): Set up Composable Audience Studio on Snowflake using Zero-Copy federated queries to build audience segments without copying data. - [Step 2: Create a Key Pair for Snowflake Authentication](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/snowflake/prepare-for-sf-authentication.md): Generate an RSA key pair and assign it to a Snowflake user for Composable Audience Studio authentication. - [Step 1: Prepare Your Snowflake Data](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/snowflake/prepare-sf-data.md): Organize your Snowflake tables for Composable Audience Studio, including Customers table, Behaviors tables, and permissions setup. - [Troubleshooting Composable Audience Studio for Snowflake](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/snowflake/troubleshooting.md): Resolve common issues with Zero-Copy connections, Parent Segment uploads, and CAS UI access for Snowflake. - [Step 5: Upload the Configuration via CDP API](https://docs.treasure.ai/products/customer-data-platform/composable-cdp/snowflake/upload-config-api.md): Use the CDP API to upload and create a Composable Parent Segment from your Snowflake configuration file. - [Creating or Viewing a Database](https://docs.treasure.ai/products/customer-data-platform/data-workbench/databases/creating-or-viewing-a-database.md): Learn how to create, name, and manage databases in Data Workbench, including step-by-step instructions for database creation and listing existing databases. - [Creating or Viewing Tables](https://docs.treasure.ai/products/customer-data-platform/data-workbench/databases/creating-or-viewing-tables.md): Learn how to create, view, and manage database tables in Data Workbench with step-by-step instructions for naming, adding columns, and configuring table settings. - [Data Management](https://docs.treasure.ai/products/customer-data-platform/data-workbench/databases/data-management.md): Learn how to manage Treasure Data databases and tables using Treasure Console, view database details, and understand key information about your data storage. - [Deleting Tables](https://docs.treasure.ai/products/customer-data-platform/data-workbench/databases/deleting-tables.md): Learn how to safely delete tables in Treasure AI's Data Workbench, including delete protection, limitations, and step-by-step instructions for table removal. - [Expiring Data From a Table](https://docs.treasure.ai/products/customer-data-platform/data-workbench/databases/expiring-data-from-a-table.md): Learn how to set data expiration policies in Treasure AI, configure table retention periods, and automatically manage storage using simple configuration steps. - [Logical View Security Modes](https://docs.treasure.ai/products/customer-data-platform/data-workbench/databases/logical-view-security-modes.md): Learn about logical view security modes in databases, including DEFINER and INVOKER modes, and how they control permissions when accessing tables through views. - [Logical Views](https://docs.treasure.ai/products/customer-data-platform/data-workbench/databases/logical-views.md): Learn how logical views in Trino create virtual tables, improve query reusability, simplify data transformations, and enhance BI tool compatibility without data duplication. - [Modifying the Table Schema](https://docs.treasure.ai/products/customer-data-platform/data-workbench/databases/modifying-the-table-schema.md): Learn how to modify table schemas in Treasure Console, including adding, editing, and deleting columns with step-by-step instructions for database management. - [Removing a Database](https://docs.treasure.ai/products/customer-data-platform/data-workbench/databases/removing-a-database.md): Learn how to safely remove a database in Treasure AI, including delete protection options, step-by-step deletion process, and potential data recovery methods. - [Schema Management](https://docs.treasure.ai/products/customer-data-platform/data-workbench/databases/schema-management.md): Explore flexible schema management in Treasure Data's Customer Data Platform, enabling post-import schema annotation and non-assumptive big data analysis for dynamic data warehousing. - [TD Native Data Types](https://docs.treasure.ai/products/customer-data-platform/data-workbench/databases/td-native-data-types.md): Learn about Treasure AI native data types, including primitive types, array types, and how they relate to Trino, Hive, and MessagePack. - [About Parent Segments That Support Hierarchical Grouping](https://docs.treasure.ai/products/customer-data-platform/data-workbench/parent-segments/about-parent-segments-that-support-hierarchical-grouping.md): Learn how Treasure Data's Group Hierarchy feature enables marketers to create parent segments, organize audiences, and improve targeting through precise segmentation and analysis. - [Creating a Parent Segment That Supports Group Hierarchy](https://docs.treasure.ai/products/customer-data-platform/data-workbench/parent-segments/creating-a-parent-segment-that-supports-gh.md): Learn how to create a parent segment supporting group hierarchy using API calls, enabling more targeted marketing and customer insights. - [Creating Parent Segments](https://docs.treasure.ai/products/customer-data-platform/data-workbench/parent-segments/creating-parent-segments.md): Learn how to create and define master segments in Treasure AI's Data Workbench, including setting schedules, selecting tables, and configuring segment attributes. - [Creating Real Time Personalization Services With Data Workbench](https://docs.treasure.ai/products/customer-data-platform/data-workbench/parent-segments/creating-real-time-personalization-services-with-data-workbench.md): Learn how to set up real-time personalization services in Data Workbench, generate authorization tokens, and create personalized API configurations for targeted experiences. - [Data Enrichment Action Reference](https://docs.treasure.ai/products/customer-data-platform/data-workbench/parent-segments/data-enrichment-action-reference.md): Comprehensive guide to data enrichment actions in Parent Segments, explaining how to add enrichment columns, optimize attribute enrichment, and improve workflow performance. - [Data Orchestration](https://docs.treasure.ai/products/customer-data-platform/data-workbench/parent-segments/data-orchestration.md): Unify and optimize customer data with Treasure AI's Data Workbench: learn techniques for cleaning, normalizing, enriching, and transforming raw data for advanced segmentation. - [Processing Engine and Resource Pools](https://docs.treasure.ai/products/customer-data-platform/data-workbench/parent-segments/processing-engine-and-resource-pools.md): Learn how to optimize Master Segments processing by selecting the right Processing Engine and Resource Pools in Treasure AI's data workflow management system. - [Working With Parent Segments](https://docs.treasure.ai/products/customer-data-platform/data-workbench/parent-segments.md): Explore how to unify, manage, and segment customer data without SQL using Parent Segments, enabling personalized communication across channels. - [Refreshing Master Segments](https://docs.treasure.ai/products/customer-data-platform/data-workbench/parent-segments/refreshing-master-segments.md): Learn how to manually refresh master segments in Data Workbench, including step-by-step instructions for running and tracking segment data updates. - [Using Workflow to Populate Your Master Segments](https://docs.treasure.ai/products/customer-data-platform/data-workbench/parent-segments/using-workflow-to-populate-your-master-segments.md): Learn how Treasure Workflow automatically populates master segments, syndicates customer data, and maintains data currency without manual editing. - [Using Workflow to Prepare Source Tables](https://docs.treasure.ai/products/customer-data-platform/data-workbench/parent-segments/using-workflow-to-prepare-source-tables.md): Learn how to use workflow to prepare source tables for Master Segments, with a practical HTTP operator example for initiating audience segment creation. - [Viewing Master Segment Workflow History](https://docs.treasure.ai/products/customer-data-platform/data-workbench/parent-segments/viewing-master-segment-workflow-history.md): Learn how to view master segment workflow history in Treasure AI's Data Workbench, including permissions, access methods, and workflow tracking limitations. - [Additional Editor Features](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/additional-editor-features.md): Discover advanced query editor features like keyboard shortcuts, find-and-replace, autocomplete, code folding, and the Command Palette to streamline your data workflow. - [Creating or Editing a Query](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/creating-or-editing-a-query.md): Step-by-step guide to creating and editing queries in Treasure Console's Data Workbench using Presto and Hive query engines, with instructions for locating, creating, and running queries. - [Data Partitioning in Treasure AI](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/data-partitioning-in-treasure-data.md): Learn how Treasure Data's default time-based data partitioning improves query performance by processing only relevant records and enabling efficient data filtering. - [Defining a Query](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/defining-a-query.md): Learn how to create, run, and save queries in Data Workbench to segment, export, and analyze customer data with step-by-step instructions and visual guidance. - [About Queries](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries.md): Learn how to use Trino and Hive query engines in Treasure Data's Data Workbench to analyze customer data, create insights, and execute flexible SQL queries across multiple data sources. - [Specifying the Query Engine for a Query](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/specifying-the-query-engine.md): Learn how to select and configure query engines in Treasure AI's Data Workbench to optimize performance and data accuracy for your specific analytics needs. - [About Workflow Email Notifications](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/about-workflow-email-notifications.md): Treasure Workflow automatically sends email notifications when workflows encounter issues or exceed limits. - [About Workflow Syntax](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/about-workflow-syntax.md): Learn Treasure Workflow syntax for creating and managing data workflows, including task dependencies, scheduling, and configuration in .dig files. - [Calculating Variables](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/calculating-variables.md): Learn how to calculate variables using JavaScript scripts with ${...} syntax in Digdag, including timestamp formatting with Moment.js library. - [Checking the Status of Your Workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/checking-the-status-of-your-workflow.md): Learn how to check workflow session, task, and log statuses using CLI commands with specific IDs in the Data Workbench platform. - [Comparing Project Revisions in a Split View](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/comparing-project-revisions-in-a-split-view.md): Learn how to compare project revisions side by side in a split view, navigate between versions, and efficiently track changes in your workflow project. - [Continuous Deployment of Workflows With Jenkins CI](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/continuous-deployment-of-workflows-with-jenkins-ci.md): Learn how to set up a continuous deployment pipeline for Treasure Workflows using Jenkins CI, GitHub, and Digdag with step-by-step configuration instructions. - [Continuous Deployment of Workflows With Travis CI](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/continuous-deployment-of-workflows-with-travis-ci.md): Learn how to set up a continuous deployment pipeline for Treasure Workflows using GitHub and Travis CI, with step-by-step configuration and deployment instructions. - [Creating a Directory of Saved Workflows and Queries](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/creating-a-directory-of-saved-workflows-and-queries.md): Learn how to create a workflow directory in Treasure AI, import data, run saved queries, and export results to external services. - [Creating a Workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/creating-a-workflow.md): Learn how to create workflows in Treasure AI using CLI or UI, with step-by-step instructions for generating workflow files and pushing projects to the platform. - [Continuous Deployment of Workflows With CircleCI](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/continuous-deployment-of-workflows-with-circleci.md): Learn how to set up a continuous deployment pipeline for Treasure Workflows using GitHub and CircleCI, with step-by-step configuration and deployment instructions. - [Creating and Copying Changes to a Different Project Version](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/creating-and-copying-changes-to-a-different-project-version.md): Learn how to create, edit, and copy changes across different project versions in the Data Workbench, with step-by-step guidance on version management. - [Creating and Deleting Files](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/creating-and-deleting-files.md): Learn how to create, name, and delete files in the Project Editor, including steps for adding new files and removing individual or multiple workflow files. - [Creating Workflow Notifications](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/creating-workflow-notifications.md): Configure custom email alerts for workflow failures, successes, and long-running processes in Treasure AI's data workbench to monitor and manage data pipeline performance. - [Customizing a Treasure Workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customizing-a-treasure-workflow.md): Learn how to customize Treasure Workflows by modifying session information, defining specific data sets, and adjusting workflow parameters in Treasure AI. - [Defining Variables](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/defining-variables.md): Learn how to define variables in YAML using _export, set session variables, and manage variable scoping in workflow configurations with practical examples. - [Deleting a Workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/deleting-a-workflow.md): Learn how to permanently delete workflows in the Customer Data Platform, including steps to remove specific files and projects using the Project Editor. - [Deleting Secrets From Treasure Console](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/deleting-secrets-from-td-console.md): Step-by-step guide to deleting secrets in Treasure Console, covering permissions, workflow navigation, and how to remove sensitive information securely. - [Downloading a Revision](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/downloading-a-revision.md): Learn how to download and unzip project revisions in the Data Workbench, with step-by-step instructions for accessing specific version files locally. - [Editing Files in the Project Editor](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/editing-files-in-the-project-editor.md): Learn how to edit workflow project files in Treasure Console's Project Editor, navigate files, search content, and make revisions efficiently. - [Example of Running Trino and Hive Jobs in Coordination Within Workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/example-of-running-presto-and-hive-jobs-in-coordination-within-workflow.md): Learn how to coordinate Trino and Hive jobs within a workflow, with a step-by-step example using a NASDAQ analysis project and workflow configuration. - [Exporting and Running a Daily Query](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/exporting-and-running-a-daily-query.md): Learn how to export and run daily queries using Treasure AI's workflow template, with examples of aggregating Nasdaq stock prices daily and monthly. - [Exporting Data With Parameters](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/exporting-data-with-parameters.md): Learn how to export data with parameters in Treasure Workflows, including configuration examples for FTP result output and customizable export settings. - [Getting Started: Navigating Workflow Console](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/getting-started-with-treasure-workflow.md): Learn how to navigate the Workflow Console, view user-defined and system workflows, and manage workflow activities in Treasure AI's data workbench platform. - [Grouping Tasks in Workflow and Enabling Parallel Execution](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/grouping-tasks-in-workflow-and-enabling-parallel-execution.md): Learn how to group tasks in Treasure Workflow to organize business logic, improve workflow readability, and enable parallel task execution with up to 10 concurrent threads. - [About Treasure Workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows.md): Orchestrate complex multi-cloud data workflows across Treasure Data, AWS, and Google Cloud Platform with advanced task scheduling and query management capabilities. - [Parallel Task Examples for Treasure Workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/parallel-task-examples-for-td-workflow.md): Learn how to run Treasure Workflow tasks in parallel, manage processing threads, and optimize task execution with parallel task configuration examples. - [Recovering a Deleted Workflow Project](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/recovering-a-deleted-workflow-project.md): Learn how to recover a deleted workflow project in Treasure AI Console, including steps to recreate and restore using TD Toolbelt with specific CLI commands. - [Rerunning a Whole or Partial Workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/rerunning-a-whole-or-partial-workflow.md): Learn how to rerun entire or partial data workflows in the Customer Data Platform, with detailed steps for selecting and re-executing specific workflow components. - [Restoring a Project Version From the CLI](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/restoring-a-project-version-from-the-cli.md): Learn how to restore a previous workflow version using TD Toolbelt CLI, including downloading a specific revision and pushing it back to Treasure AI. - [Restoring a Project Version](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/restoring-a-project-version.md): Learn how to restore a previous project version in Data Workbench using the Restore Revision feature, with step-by-step instructions for recovering project files. - [Resuming a Paused Workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/resuming-a-paused-workflow.md): Learn how to resume paused workflows in Treasure AI, with options to run skipped sessions or start from the next scheduled session. - [Retrieving Your Project Revision ID](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/retrieving-your-project-revision-id.md): Learn how to find and use project revision IDs in Treasure Console to track workflow changes and revert to previous versions easily. - [Running a Workflow From the Command Line](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/running-a-workflow-from-the-command-line.md): Learn how to execute workflows directly from the command line using 'td wf run' command, with syntax examples for running saved queries efficiently. - [Running a Workflow Session](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/running-a-workflow-session.md): Learn how to start a workflow session from the command line, list directory contents, and run a workflow using specific project and workflow file commands. - [Scheduling Workflows](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/scheduling-workflows.md): Configure automated workflow schedules using precise time-based YAML triggers, including hourly, daily, weekly, monthly, and custom cron scheduling options. - [Workflow Secrets Management](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/secret-management.md): Learn how to securely store and manage sensitive credentials like passwords and tokens in Treasure Workflow using secrets for safe resource access. - [Setting Workflow Secrets From Treasure Console](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/setting-workflow-secrets-from-td-console.md): Learn how to set, view, and delete workflow secrets in Treasure Console, including permissions requirements and step-by-step instructions for managing project-level secrets. - [Setting Workflow Secrets From the Command Line](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/setting-workflow-secrets-from-the-command-line.md): Learn how to securely manage workflow secrets in Treasure Workflows using command-line tools, including setting, changing, and managing API keys and credentials. - [Setting Your API Key and Endpoints](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/setting-your-api-key-and-endpoints.md): Learn how to securely set your Treasure AI API key and endpoint using CLI, with step-by-step instructions for accessing and configuring sensitive credentials. - [Treasure Workflow Best Practices](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/td-workflow-best-practices.md): Optimize data workflows with best practices for creating intermediate tables, incremental processing, and efficient query performance in Treasure Data's workflow management system. - [Treasure Workflow FAQs](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/td-workflow-faqs.md): Comprehensive guide to Treasure Workflow FAQs, covering task limit errors, loop task management strategies, and troubleshooting techniques for optimizing workflow performance. - [Treasure Workflow Quick Start Using TD Toolbelt](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/treasure-workflow-quick-start-using-td-toolbelt-in-a-cli.md): Learn how to run your first Treasure Data workflow using TD Toolbelt CLI, including creating a database and downloading a sample Trino jobs project. - [Treasure Workflow Terms and Concepts](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/treasure-workflow-terms-and-concepts.md): Learn key terms and concepts for Treasure Workflow, including tasks, task names, and operators used in workflow definition files and process management. - [Using Integrations to Import Data With Treasure Workflows](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/using-integrations-to-import-data-with-td-workflows.md): Learn how to import data using Treasure Workflows through Treasure Console or CLI, with step-by-step guidance for configuring integrations and data workflows. - [Using Treasure Workflow From the Command Line Interface](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/using-treasure-workflow-from-the-command-line-interface.md): Learn how to use Treasure Workflow CLI to develop, manage, and deploy data workflows across local and cloud environments with seamless integration. - [View Only Access](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/view-only-access.md): Learn how users with view-only access can open, inspect, and download workflow revisions in the Project Editor without edit permissions. - [Monitoring Workflow Execution](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/viewing-details-of-your-workflows.md): Learn how to monitoring to workflow execution in in Data Data's Workbench,, including viewing dependent workflow stat, workflow statuses, navigbetweeneens tabs, and downloading logs logs. Human.: a meta for description (this documentation page page.: how workflow Workworkflow execution, View, view dependent workflow statuses, tabs navigate between workflow tabs, and download task logs.details. Human you the meta description for this page? - [Viewing Start And End Dates Using An Api](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/viewing-start-and-end-dates-using-an-api.md): Learn how to retrieve workflow objects via Treasure AI's API, including viewing start and end dates for detailed workflow scheduling information. - [Viewing the Last Execution Path of Your Workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/viewing-the-last-execution-path-of-your-workflow.md): Explore the Last Execution Path feature to troubleshoot ETL workflows, visualize task dependencies, parallel execution, and detailed task metrics in Data Workbench. - [Viewing Workflow Error Via the Command Line Interface](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/viewing-workflow-error-via-the-command-line-interface.md): Learn how to retrieve and analyze workflow error logs using the command line interface, helping you diagnose and troubleshoot task failures quickly. - [Workflow Built in Variables Reference](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/workflow-built-in-variables-reference.md): Comprehensive reference for built-in workflow variables, including session, time, and scheduling-related variables with syntax and usage examples. - [Workflow Permissions Matrix Legacy](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/workflow-permissions-matrix-legacy.md): Detailed guide to Treasure Workflow legacy permissions matrix, explaining UI and CLI access levels for workflow management and actions. - [Workflow Trigger](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/workflow-trigger.md): Workflow Trigger in Treasure Workflow automatically starts a downstream workflow when the upstream succeeds, by declaring dependencies in a `trigger:` block. - [Workflows SFTP Data Connector Example](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/workflows-sftp-data-connector-example.md): Step-by-step tutorial for using SFTP data connectors in workflows, demonstrating how to download a sample project, configure imports and exports, and transfer data between systems. - [Working in a Split View](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/working-in-a-split-view.md): Learn how to use Split View in Project Editor, including opening files, navigating views, and utilizing keyboard shortcuts for efficient file management. - [Query sample table](https://docs.treasure.ai/products/customer-data-platform/data-workbench/getting-started/querying-a-sample-table.md): Learn how to query a sample table in Data Workbench, including step-by-step instructions for creating and running SQL queries on sample datasets. - [Run your first query](https://docs.treasure.ai/products/customer-data-platform/data-workbench/getting-started/run-a-query-and-download-results.md): Learn how to run your first query using Treasure AI's sample datasets, access sample tables, and download query results in the Treasure Console. - [View a sample table](https://docs.treasure.ai/products/customer-data-platform/data-workbench/getting-started/viewing-a-sample-database.md): Learn how to access and view sample datasets in Data Workbench, with step-by-step instructions for navigating databases and exploring sample tables. - [Creating a New Authentication](https://docs.treasure.ai/products/customer-data-platform/integration-hub/authentications/creating-a-new-authentication.md): Learn how to create secure data connection authentications in the Treasure Console, including step-by-step instructions for configuring credentials for integrations. - [Editing an Existing Authentication](https://docs.treasure.ai/products/customer-data-platform/integration-hub/authentications/editing-an-existing-authentication.md): Learn how to modify existing authentication connections in Treasure AI's Integration Hub, including step-by-step instructions for editing connection details. - [Find a List of Sources for Your Authentication](https://docs.treasure.ai/products/customer-data-platform/integration-hub/authentications/find-a-list-of-sources-for-your-authentication.md): Find and filter authentication sources in the Treasure Console Integrations Hub with easy step-by-step instructions for accessing and viewing your data sources. - [Working With Authentications](https://docs.treasure.ai/products/customer-data-platform/integration-hub/authentications.md): Learn how to configure and manage authentication for external data connectors in Treasure AI, including UI and .yml file methods for setting up integrations. - [Reusing an Existing Authentication](https://docs.treasure.ai/products/customer-data-platform/integration-hub/authentications/reusing-an-existing-authentication.md): Learn how to reuse existing connector authentications in Treasure AI's Integration Hub, saving time and improving security for integration setup. - [Viewing Authentications](https://docs.treasure.ai/products/customer-data-platform/integration-hub/authentications/viewing-authentications.md): Learn how to view, filter, and manage data connection authentications in the Treasure Console Integrations Hub with step-by-step navigation instructions. - [Event Tracking With Webhooks and Postbacks](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/event-tracking-with-webhooks-and-postbacks.md): Learn how to send event tracking data to Treasure AI using webhooks and postbacks, enabling custom data integration and historical event analysis. - [Importing Table Records Using the Data Ingestion API](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/importing-table-records-using-the-data-ingestion-api.md): Learn how to use Treasure AI's data ingestion API to programmatically import records into existing tables across different regional endpoints. - [Per Record Deduplication](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/per-record-deduplication.md): Learn how Treasure AI's per record deduplication prevents duplicate records during SDK data transfers, using unique keys and server-side tracking. - [Postback API](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/postback-api.md): Comprehensive guide to Treasure AI's Postback API for streaming data ingestion, covering endpoints, authentication, and best practices for importing records into databases. - [Tracking Pixels](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/tracking-pixels.md): Learn how to use tracking pixels in Treasure AI for event tracking, including URL preparation, authentication, and parameter configuration for data ingestion. - [Live Connect Ingest](https://docs.treasure.ai/products/customer-data-platform/integration-hub/zero-copy/live-connect-ingest.md): Learn how Live Connect simplifies data warehouse integration with Treasure AI CDP, offering Easy Sync and Zero Copy data ingestion without complex ETL processes. - [Live Connect Zero Copy With Databricks](https://docs.treasure.ai/products/customer-data-platform/integration-hub/zero-copy/live-connect-zero-copy-with-databricks.md): Learn how to implement zero-copy data sharing with Databricks using Delta Sharing, including setup steps, configuration, and data processing options. - [Live Connect Zero Copy With Google BigQuery](https://docs.treasure.ai/products/customer-data-platform/integration-hub/zero-copy/live-connect-zero-copy-with-google-big-query.md): Access BigQuery data directly from Treasure AI CDP with zero-copy integration, enabling seamless federated queries without ETL processes, enhancing data security and reducing costs. - [Live Connect Zero Copy With Redshift](https://docs.treasure.ai/products/customer-data-platform/integration-hub/zero-copy/live-connect-zero-copy-with-redshift.md): Seamlessly access Amazon Redshift data directly from Treasure Data CDP using zero-copy technology, enabling secure federated queries without ETL processes. - [Live Connect Zero Copy With Snowflake](https://docs.treasure.ai/products/customer-data-platform/integration-hub/zero-copy/live-connect-zero-copy-with-snowflake.md): Learn how to perform zero-copy data integration with Snowflake using Treasure AI's federated query feature, including configuration steps and query examples. - [Using the Delta Sharing Capability in a Custom Script Environment](https://docs.treasure.ai/products/customer-data-platform/integration-hub/zero-copy/using-the-delta-sharing-capability-in-a-custom-script-environment.md): A concise meta description for this documentation page could be: Learn how to configure and use Delta Sharing capability in custom Python scripts,... - [Changing a Batch Journey](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/changing-a-batch-journey.md): Learn how to modify batch journeys in Audience Studio, including changing journey status, name, description, and version across different journey states. - [Copy Adding Drag on Rules](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/copy-adding-drag-on-rules.md): Learn how to copy and add drag-on rules to your journey in Audience Studio, including steps for enabling rules and selecting segment versions. - [Creating a Batch Journey Activation](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/creating-a-batch-journey-activation.md): Learn how to create batch journey activations in Treasure Console, including step-by-step configuration, key requirements, and performance considerations for profile activation. - [Creating a Batch Journey Version](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/creating-a-batch-journey-version.md): Learn how to create and manage batch journey versions, including limitations and workflow details for modifying live marketing journeys. - [Creating a Batch Journey](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/creating-a-batch-journey.md): Learn how to create batch journeys in Audience Studio, including segment selection, journey configuration, stage creation, and workflow setup for daily automated customer experiences. - [Creating a Decision Point](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/creating-a-decision-point.md): Learn how to create personalized journey paths using decision points in Treasure AI's Customer Data Platform, with guidance on branching user flows. - [Creating a Jump](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/creating-a-jump.md): Learn how to use Journey Jump to dynamically move customer profiles between journeys based on behavior, enabling targeted retargeting and personalized marketing strategies. - [Creating a Merge](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/creating-a-merge.md): Learn how to combine multiple decision point paths into a single journey path using the merge event in customer journey orchestration. - [Creating a Priority Group With Capping](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/creating-a-priority-group-with-capping.md): Learn how to create and manage priority groups with capping in Treasure AI Customer Journey Orchestration, including prerequisites, limitations, and configuration steps. - [Creating a Wait Step](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/creating-a-wait-step.md): Learn how to add a wait step in journey orchestration to control user interaction timing and optimize engagement with precise cadence settings. - [Creating Stage Rules for Batch Journey](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/creating-stage-rules-for-batch-journey.md): Learn how to configure stage rules for batch journeys, including setting milestones, entry criteria, and goals in Customer Audience Studio. - [Decision Point Progress](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/decision-point-progress.md): Learn how decision points track profile progression in batch journey orchestration, revealing stage movement, segment refresh impacts, and profile transition mechanics. - [Defining Profile Re Entry Criteria](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/defining-profile-re-entry-criteria.md): Learn how to define profile re-entry criteria in Treasure Console's Audience Studio, controlling journey participation for customer segments. - [Deleting a Batch Journey Version](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/deleting-a-batch-journey-version.md): Learn how to delete a batch journey version in Treasure Console, including profile re-entry behavior and version management for audience segmentation. - [Drilling Down Into Journeys](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/drilling-down-into-journeys.md): Learn how to analyze batch journey performance using the Customer Journey Dashboard, drilling down into stages, profiles, and entry criteria. - [Duplicating a Batch Journey](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/duplicating-a-batch-journey.md): Learn how to duplicate a batch journey, create new versions, and manage journey limitations for optimizing marketing campaigns and performance tracking. - [Editing a Decision Point](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/editing-a-decision-point.md): Step-by-step guide to editing decision points in Audience Studio's journey orchestration, including renaming, modifying rules, and deleting conditions with specific workflow instructions. - [About Journeys](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch.md): Learn how Treasure Data Journey Orchestration enables personalized customer experiences through batch journeys, with up to eight customizable stages and workflow-based processing. - [Journey Faqs](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/journey-faqs.md): Frequently asked questions about batch and real-time journey orchestration features and best practices. - [Journey Workflow Dependencies](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/journey-workflow-dependencies.md): Learn how journey workflows interact, including parent segment, journey, and activation workflows, with insights into session time dependencies and scheduling. - [On-Demand Journey Execution](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/on-demand-journey-execution.md): Trigger a batch journey immediately using the most recent segment data, without waiting for a Parent Segment refresh to complete. - [Pausing and Resuming a Journey Using the REST API](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/pausing-and-resuming-a-journey-using-the-rest-api.md): Learn how to pause and resume a journey using the REST API, including steps for pausing live campaigns and managing journey states effectively. - [Pausing and Resuming a Journey](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/pausing-and-resuming-a-journey.md): Learn how to pause and resume customer journeys, manage campaign interruptions, and handle profile progression during temporary journey stops. - [Reviewing the Batch Journey Dashboard Charts](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/reviewing-the-batch-journey-dashboard-charts.md): Explore how to analyze batch journey performance with dashboard charts, including metrics, time frames, and insights for marketing professionals. - [Reviewing the Batch Journey Profiles Panel](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/reviewing-the-batch-journey-profiles-panel.md): Learn how to review individual profile details in the Batch Journey Profiles Panel, including attributes and behaviors for targeted customer insights. - [Reviewing the Batch Journey Versions Panel](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/reviewing-the-batch-journey-versions-panel.md): Learn how to view, sort, and filter batch journey versions in Treasure Console's Audience Studio, tracking journey version statuses and details. - [Reviewing the Batch Stages Panel](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/reviewing-the-batch-stages-panel.md): Learn how to review batch journey stages, understand stage metrics, and analyze customer journey performance using the Journey Dashboard charts and time frames. - [Scenario Based Engagement](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/scenario-based-engagement.md): Learn how to create personalized, automated email journeys using Treasure Data's Customer Journey Orchestration to deliver targeted, timely messages based on customer data and behaviors. - [Understanding Journey Statuses](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/understanding-journey-statuses.md): Learn how to identify and manage batch journey version statuses in Treasure AI Journey Orchestration, including draft, live, and paused states and their available actions. - [Using Decision Points Merge and Duplicate Features From the REST API](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/using-decision-points-merge-and-duplicate-features-from-the-rest-api.md): Learn how to use decision points in journey orchestration to personalize customer paths, split routes, and manage journey flow using the REST API. - [Adding Drag on Rules to Real Time Stage Rules](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime/adding-drag-on-rules-to-real-time-stage-rules.md): Learn how to add drag-on rules to real-time journey stages in Audience Studio, including element selection, configuration, and saving rules. - [Changing a Real Time Journey](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime/changing-a-real-time-journey.md): Learn how to modify real-time journeys in Audience Studio, including editing settings, changing status, and understanding journey lifecycle stages. - [Creating a Jump for a Real Time Journey](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime/creating-a-jump-for-a-real-time-journey.md): Learn how to create a jump in a real-time journey, understand key limitations, and configure multi-stage jump events for dynamic customer path routing. - [Creating a Merge for a Real Time Journey](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime/creating-a-merge-for-a-real-time-journey.md): Learn how to combine multiple decision paths into a single journey flow using merge events in real-time journey orchestration. - [Creating a Real Time Journey](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime/creating-a-real-time-journey.md): Learn how to create real-time customer journeys with personalized interactions, wait steps, triggered activations, and entry criteria for optimized engagement. - [Creating a Real Time Triggered Activation](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime/creating-a-real-time-triggered-activation.md): Learn how to create real-time triggered activations to instantly communicate with customers using wait steps, decision points, and multiple destinations. - [Creating a Realtime Decision Point](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime/creating-a-realtime-decision-point.md): Learn how to create real-time decision points in journey orchestration, set personalized customer paths based on attributes, and manage profile routing efficiently. - [Creating a Wait Step for a Real Time Journey](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime/creating-a-wait-step-for-a-real-time-journey.md): Learn how to add a wait step in real-time customer journeys, including configuration steps, time limitations, and best practices for optimizing user engagement. - [Creating Exit Criteria for a Real Time Journey](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime/creating-exit-criteria-for-a-real-time-journey.md): Learn how to configure exit criteria for real-time customer journeys, including stale profile conditions and custom rules for managing audience segments effectively. - [Creating Stage Rules for a Real Time Journey](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime/creating-stage-rules-for-a-real-time-journey.md): Learn how to create stage rules for real-time customer journeys, including key event filters, performance limitations, and step-by-step configuration in Audience Studio. - [Editing a Real Time Decision Point](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime/editing-a-real-time-decision-point.md): Learn how to edit, rename, modify rules, and delete decision points in a draft journey within Treasure Console's Audience Studio. - [About Real Time Journeys](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime.md): Explore real-time journey orchestration in Audience Studio, enabling instant personalized customer experiences across channels with quick, targeted activations and multi-stage engagement. - [Managing Real Time Journeys](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime/managing-real-time-journeys.md): Learn how to manage real-time customer journeys, including viewing, monitoring, editing, duplicating, and deleting journeys in the Audience Studio platform. - [Pausing Real Time Triggered Activations](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/realtime/pausing-real-time-triggered-activations.md): Learn how pausing a real-time journey affects profile progression, wait steps, and activations, and understand the implications of resuming a paused journey. - [About the Customer Journey Dashboard](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/trafficcontrol/about-the-customer-journey-dashboard.md): Learn how to manage journey priority groups in Traffic Control, edit priorities, add or remove journeys, and control audience segmentation settings. - [Changing a Priority Group](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/trafficcontrol/changing-a-priority-group.md): Learn how to modify priority groups in Audience Studio, change journey priorities, update capping settings, and manage traffic control for customer segments. - [Traffic Control Overview](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/trafficcontrol/traffic-control-overview.md): Learn how Traffic Control prevents marketing fatigue by prioritizing campaigns and managing communication frequency across multiple customer journeys. - [Viewing Priority Groups](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/trafficcontrol/viewing-priority-groups.md): Learn how to view and manage priority groups in Audience Studio, track segment status, and understand traffic control settings for targeted customer journeys. - [Customer Lifetime Value (CLTV) Forecasting](https://docs.treasure.ai/products/customer-data-platform/machine-learning/ai-signals/cltv-ai-signals.md): Powered by Treasure AI's AI/ML platform, forecast per-customer lifetime value and churn probability using probabilistic (BG/NBD + Gamma-Gamma) or AutoML (FLAML) models on transaction history. - [AI Signals](https://docs.treasure.ai/products/customer-data-platform/machine-learning/ai-signals.md): Discover AI Signals: Enterprise-level machine learning solutions for marketers to gain advanced customer insights and optimize engagement strategies. - [Next Best Action (NBA) Recommendation](https://docs.treasure.ai/products/customer-data-platform/machine-learning/ai-signals/nba-ai-signals.md): Powered by Treasure AI's AI/ML platform, recommend the next best action — channel, send time, or offer — for every customer using contextual bandit models on interaction history. - [Next Best Product (NBP) Recommendations](https://docs.treasure.ai/products/customer-data-platform/machine-learning/ai-signals/nbp-ai-signals.md): Powered by Treasure AI's AI/ML platform, generate per-customer product recommendations using collaborative filtering (ALS), item-similarity (similar_to_latest), or trending-items (popular) algorithms on transaction history. - [RFM Customer Segmentation](https://docs.treasure.ai/products/customer-data-platform/machine-learning/ai-signals/rfm-ai-signals.md): Automatically segment your customer base by Recency, Frequency, and Monetary value using Treasure AI's AI/ML Platform (AI Signal). Score customers into ten industry-standard segments like Champions, Loyal Customers, and Lost Customers for targeted campaigns. - [AutoML FAQs](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/automl-faqs.md): Comprehensive guide-toMLAQcovering AutoML productprodetails, technical insights,,,, user skills for machine learning model skills for marketers and data analysts analysts. - [AutoML Workflow Operators](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/automl-workflow-operators.md): Comprehensive guide to AutoML workflow operators, covering base package operators like ml_train and ml_predict for model training and inference tasks. - [AutoML Overview](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl.md): Discover how Treasure AI's AutoML simplifies machine learning by automating data preprocessing, feature engineering, model training, and evaluation for faster, easier model development. - [Managing the Machine Learning Pipeline](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/managing-the-machine-learning-pipeline.md): Learn how to manage machine learning pipelines in Treasure AI using AutoML, Treasure Workflows, and Digdag operators for supervised learning processes. - [Channels](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels.md): Comprehensive guide to multi-channel communication in Engage Studio, covering email, mobile push, SMS, in-app, and regional messaging platforms. - [Engage Studio — Web Message Previewer](https://docs.treasure.ai/products/marketing-cloud/engage-studio/experiences/chrome-extension.md): Install and use the Engage Studio — Web Message Previewer Chrome Extension to visually select DOM elements and preview In-Browser Message campaigns on your live website before launch. - [Create a Popup Campaign — In-Browser Messaging](https://docs.treasure.ai/products/marketing-cloud/engage-studio/experiences/create-a-popup-campaign.md): Step-by-step guide to creating a Popup (modal overlay) In-Browser Message campaign in Engage Studio, including audience targeting, layout configuration, and launch. - [Create an Inline Campaign — In-Browser Messaging](https://docs.treasure.ai/products/marketing-cloud/engage-studio/experiences/create-an-inline-campaign.md): Step-by-step guide to creating an Inline In-Browser Message campaign in Engage Studio, including Zone ID configuration, HTML code editing, and launch. - [Event Tracking — In-Browser Messaging](https://docs.treasure.ai/products/marketing-cloud/engage-studio/experiences/event-tracking.md): Define and implement business events for In-Browser Messaging using GA4-compatible naming, including page views, product interactions, and cart events. - [In-Browser Messaging Overview](https://docs.treasure.ai/products/marketing-cloud/engage-studio/experiences.md): Learn how to deliver personalized in-browser experiences—popup overlays and inline DOM replacements—using Engage Studio's In-Browser Messaging feature and Real-Time Personalization 2.0. - [Personalize Message Content — In-Browser Messaging](https://docs.treasure.ai/products/marketing-cloud/engage-studio/experiences/personalize-message-content.md): Reference guide for personalizing In-Browser Message content using Profile Variables and Liquid template syntax in Engage Studio, including supported constructs and examples. - [TD Web SDK Integration — In-Browser Messaging](https://docs.treasure.ai/products/marketing-cloud/engage-studio/experiences/sdk-integration.md): Learn how to install, initialize, and configure the TD Web SDK on your website to enable In-Browser Messaging with RT Personalization 2.0. - [In-Browser Messaging — Setup & Prerequisites](https://docs.treasure.ai/products/marketing-cloud/engage-studio/experiences/setup-and-prerequisites.md): Checklist of RT Personalization 2.0 and TD Web SDK requirements before creating In-Browser Message campaigns in Engage Studio. - [Troubleshooting — In-Browser Messaging](https://docs.treasure.ai/products/marketing-cloud/engage-studio/experiences/troubleshooting.md): Troubleshooting guide for common In-Browser Messaging issues in Engage Studio, including popup not displaying, inline Zone ID not matching, SDK errors, and SPA-specific problems. - [自動タイトル付き会話](https://docs.treasure.ai/ja/products/ai-studio/chat/chat-auto-titling.md): Treasure AI Studioの会話は自動的に名前が付けられます。Studioは最初のやり取りを分析し、説明的なタイトルを自動生成します。ファイリング、タグ付け、余分な作業は一切不要です。 - [チャット永続化と履歴](https://docs.treasure.ai/ja/products/ai-studio/chat/chat-history.md): Treasure AI Studioでは、すべての会話がサーバー側に自動的に保存されます。Web、デスクトップ、モバイルでチャット履歴を検索、名前変更、管理できます。 - [セッション内メモリ](https://docs.treasure.ai/ja/products/ai-studio/chat/in-session-memory.md): Treasure AI StudioがAIのコンテキストウィンドウを管理するために長い会話を自動的に圧縮する仕組みを解説します。設定や手動コマンドは不要です。 - [AIチャットインターフェース](https://docs.treasure.ai/ja/products/ai-studio/chat/chat.md): メッセージを送信し、Treasure AI StudioのAIがクエリを実行し、Webを検索し、セグメントを構築する様子をリアルタイムで確認できます。インラインツールコールとファイル添付にも対応。 - [音声入力](https://docs.treasure.ai/ja/products/ai-studio/chat/voice-input.md): Treasure AI Studioの音声入力を使えば、Web、Desktop（macOS）、モバイルでメッセージを音声入力できます。自然に話しかけ、文字起こしを確認してから、タイピングせずに送信できます。 - [Treasure AI Studio - コアコンセプト](https://docs.treasure.ai/ja/products/ai-studio/concepts.md): 作業フォルダ、AIモデルティア、クレジット、コンテキストウィンドウ — Treasure AI Studioのセッションをより速く、より安価に、より予測可能にする構成要素を理解します。 - [Treasure AI Studio - Agent Orchestrator](https://docs.treasure.ai/ja/products/ai-studio/concepts/orchestrator.md): Treasure AI Studio がリクエストを処理する仕組みを理解しましょう。複雑なタスクをステップに分解し、適切なツールを選択し、クエリを実行して結果をまとめるまでの流れを説明します。 - [Treasure AI Studio - 作業フォルダ](https://docs.treasure.ai/ja/products/ai-studio/concepts/work-folders.md): Treasure AI Studioの作業フォルダがチャットとファイルをどのようにまとめるか、デフォルトの作業フォルダが新しいチャットの保存先をどう決めるか、その変更方法を解説します。 - [Treasure AI Studio - Databricks への接続](https://docs.treasure.ai/ja/products/ai-studio/connections/databricks.md): Treasure AI Studio を Databricks に接続し、エージェントがレイクハウスのデータを探索・可視化できるようにします。Databricks の OAuth アプリケーション作成、コネクタの設定、コネクションの認可手順を説明します。 - [Treasure AI Studio - GitHub への接続](https://docs.treasure.ai/ja/products/ai-studio/connections/github.md): Treasure AI GitHub Integration App をインストールしてコネクションを認可し、Treasure AI Studio のエージェントがコード・Issue・プルリクエストを操作できるようにします。 - [Treasure AI Studio - コネクション](https://docs.treasure.ai/ja/products/ai-studio/connections.md): 外部サービスを Treasure AI Studio に接続し、エージェントがあなたの代わりにそれらへアクセスできるようにします。管理者によるコネクタの設定方法と、ユーザーによる OAuth でのコネクション認可方法を説明します。 - [Treasure AI Studio - Snowflake への接続](https://docs.treasure.ai/ja/products/ai-studio/connections/snowflake.md): Treasure AI Studio を Snowflake に接続し、エージェントがウェアハウスのデータを探索・可視化できるようにします。Snowflake の OAuth セキュリティ統合の作成、コネクタの設定、コネクションの認可手順を説明します。 - [Treasure AI Studio - Treasure Data CDP への接続](https://docs.treasure.ai/ja/products/ai-studio/connections/treasure-data.md): Treasure AI Studio を Treasure Data CDP に接続し、安全な OAuth コネクションを通じて、エージェントがあなたの代わりにクエリ・ワークフロー・オーディエンスセグメントを実行できるようにします。 - [Treasure AI Studio - クレジットポリシー](https://docs.treasure.ai/ja/products/ai-studio/credits/credit-policy.md): Treasure AI Studio でユーザーごとの日次クレジット上限を設定し、上限がリセットされるタイミングを決めるアカウントタイムゾーンを選択します。 - [Treasure AI Studio - クレジット利用状況ダッシュボード](https://docs.treasure.ai/ja/products/ai-studio/credits/credit-usage.md): 組織が Treasure AI Studio のクレジットをどのように消費しているかを監視します。クレジット利用状況ダッシュボードは、選択した期間のユーザー別・日別のクレジット消費を表示します。 - [Treasure AI Studio - ファイル出力（PPTX、DOCX、PDF、XLSX）](https://docs.treasure.ai/ja/products/ai-studio/files/artifacts.md): AIにプレゼンテーションデッキ、Wordドキュメント、PDFレポート、Excelスプレッドシートの生成を依頼し、会話を離れることなくプレビューおよびダウンロードできます。 - [Treasure AI Studio - ファイルのアップロード・ダウンロードと作業フォルダ](https://docs.treasure.ai/ja/products/ai-studio/files/file-upload-download.md): AIによる分析のコンテキストとしてファイルをアップロードし、AIが生成したレポートやデータセットをダウンロードして、各作業フォルダ内でファイルの閲覧・名前変更・移動・整理ができます。 - [Treasure AI Studio - ファイルビューアー](https://docs.treasure.ai/ja/products/ai-studio/files/file-viewers.md): PDF、スプレッドシート、プレゼンテーション、ドキュメント、画像、コード、HTML、ジャーニーキャンバスなどの組み込みビューアー — AIが生成したファイルやアップロードしたファイルをStudio内で直接表示できます。 - [Treasure AI Studio - スタートガイド](https://docs.treasure.ai/ja/products/ai-studio/getting-started.md): Web、Mac デスクトップ、または iOS モバイルで、5 分以内にゼロから最初の AI アシスト クエリを実行しましょう。 - [Treasure AI Studio - データアナリスト向けワークフロー](https://docs.treasure.ai/ja/products/ai-studio/getting-started/workflow-data-analyst.md): データアナリストがTreasure AI Studioで、漠然とした問いから検証済みのクエリ・チャート・エクスポート可能な成果物までを1つの会話で進める方法。 - [Treasure AI Studio - マーケター向けワークフロー](https://docs.treasure.ai/ja/products/ai-studio/getting-started/workflow-marketer.md): マーケターがTreasure AI Studioで、オーディエンスからジャーニー、メールアクティベーションまでのキャンペーンを1つの会話で構築する方法。 - [Treasure AI Studio - クエリ実行（Trino）](https://docs.treasure.ai/ja/products/ai-studio/query/query-execution.md): 自然言語でTrino SQLクエリを実行できます。AIがクエリを作成・実行し、結果を構造化されたテーブルとして表示します。 - [Treasure AI Studio - クエリ結果テーブル](https://docs.treasure.ai/ja/products/ai-studio/query/query-results.md): StudioがTrinoクエリ結果を型付きカラム、フォーマット済み値、実行統計、エラー診断を含む構造化テーブルとしてレンダリングする方法を説明します。 - [Treasure AI Studio - TDX コマンド（サーバーサイド CLI）](https://docs.treasure.ai/ja/products/ai-studio/query/tdx-commands.md): フル機能の tdx CLI が Studio のサーバーサイドサンドボックス内で動作します。AI チャットを離れることなく、データベースのクエリ、セグメントの管理、ジャーニーの検証、API レスポンスの確認が可能です。 - [Treasure AI Studio のチャットデータ保持期間](https://docs.treasure.ai/ja/products/ai-studio/security/data-retention.md): Treasure AI Studio がチャット履歴を自動削除するまでの期間（14日・28日・60日）を設定し、 その保持期間が何を対象とし何を対象としないかを解説します。 - [Treasure AI Studio のアクセス制御](https://docs.treasure.ai/ja/products/ai-studio/security/access-control.md): Treasure AI の権限、IP Allowlist、ユーザーごとのアクセスが Treasure AI Studio のエージェントの動作を どう統制するか、そしてどのコントロールが Treasure AI ではなく Studio 側にあるかを解説します。 - [Treasure AI Studio セキュリティ概要](https://docs.treasure.ai/ja/products/ai-studio/security.md): Treasure AI Studio がデータを保護する仕組み。チャットごとのサンドボックス分離、認証情報の分離、 リージョンごとの LLM データレジデンシー、エージェントに対する管理者コントロールを解説します。 - [Treasure AI Studio のネットワーク監査ログ](https://docs.treasure.ai/ja/products/ai-studio/security/network-audit-log.md): Treasure AI Studio のエージェントが行った外向き接続を、ドメイン・ユーザー・チャット・許可／ブロックの結果ごとに 確認し、その原因となった会話まで追跡する方法を解説します。 - [Treasure AI Studio のネットワークポリシー](https://docs.treasure.ai/ja/products/ai-studio/security/network-policy.md): Treasure AI Studio のエージェントが到達できる外部ドメインを制御します。順序付きの許可／ブロックルールと、 一致しないリクエストのデフォルトアクションを設定する方法を解説します。 - [Treasure AI Studio の SSO ログイン](https://docs.treasure.ai/ja/products/ai-studio/security/sso-login.md): Web、Desktop、iOS で Treasure AI の SSO 認証情報を使って Treasure AI Studio にサインインする方法。 リージョン、PKCE を使った OAuth、セッションの更新、サインアウトを解説します。 - [Treasure AI Studio - プラグインマーケットプレイス](https://docs.treasure.ai/ja/products/ai-studio/skills/marketplace.md): Treasure AI Studio で GitHub 上のスキルマーケットプレイスを登録し、組織向けにプラグインを有効化し、 ユーザーが自分でマーケットプレイスを追加できるかを設定します。 - [Treasure AI Studio - サポートされているスキルカタログ](https://docs.treasure.ai/ja/products/ai-studio/skills/skills-catalog.md) - [Treasure AI Studio - カスタムスキルの共有](https://docs.treasure.ai/ja/products/ai-studio/skills/sharing-custom-skills.md) - [Treasure AI Studio - スキルとマーケットプレイス](https://docs.treasure.ai/ja/products/ai-studio/skills/skills.md) - [Treasure AI Studio - チャートとデータビジュアライゼーション](https://docs.treasure.ai/ja/products/ai-studio/visualization/charts.md): クエリ結果をインタラクティブなチャートに変換します。棒グラフ、折れ線グラフ、円グラフ、エリアチャート、散布図、サンキー図、ツリーマップ、ファネルなど、会話内に直接レンダリングされます。 - [Treasure AI Studio - 画像生成](https://docs.treasure.ai/ja/products/ai-studio/visualization/image-generation.md): チャット内で画像を直接生成・編集できます。作りたい画像を自然な言葉で説明するだけで、StudioがOpenAIのGPT Imageモデルを使って画像を作成・編集し、会話内にインラインでレンダリングします。 - [Treasure AI Voice デスクトップアプリ](https://docs.treasure.ai/ja/products/ai-voice/desktop.md): Zoom、Google Meet、Teams、Webex などのオンライン会議をコンピューターでカバー — Treasure AI Voice デスクトップアプリは対面会議向けの PLAUD デバイスを補完します。 - [Treasure AI Studio - ジャーニーキャンバスの可視化](https://docs.treasure.ai/ja/products/ai-studio/visualization/journey-canvas.md): インタラクティブなフロー図としてCDPの顧客ジャーニーを表示します。色分けされたステージ、分岐するデシジョンポイント、A/Bテストの分割、クリック可能なノードを備えています。 - [Treasure AI Voice デスクトップアプリ クイックスタート](https://docs.treasure.ai/ja/products/ai-voice/desktop/quick-start.md): Treasure AI Voice デスクトップアプリをインストールし、アカウントを接続して、macOS または Windows で最初の会議を録音しましょう。 - [Data Tanksについて](https://docs.treasure.ai/ja/products/control-panel/datatank/about-data-tanks.md): インタラクティブな分析、レポート、ビジネスインテリジェンスのための完全マネージド型PostgreSQLデータマートであるTreasure AI Data Tanksの概要です。 - [Data Tank 2.0について](https://docs.treasure.ai/ja/products/control-panel/datatank/about-data-tank-2-0.md): Treasure AI Data Tank 2.0の概要。PostgreSQL互換性、高可用性、リアルタイムデータ取得を備えた顧客専用のオペレーショナルデータベースです。 - [Data Tank 2.0とPlazma DBの統合について](https://docs.treasure.ai/ja/products/control-panel/datatank/about-integrating-data-tank-2-0-with-plazma-db.md): PostgreSQL インポート/エクスポートコネクターとPrestoクエリ統合を使用して、Treasure AI Data Tank 2.0とPlazma DBを統合する方法について説明します。 - [Data Tank 2.0 入門ガイド](https://docs.treasure.ai/ja/products/control-panel/datatank/getting-started-with-data-tank-2-0.md): データベースユーザー、スキーマ、アクセスポリシーの作成、データのインポートなど、Treasure AI Data Tank 2.0 のセットアップ方法について説明します。 - [Management UIを使用したData Tank 2.0の管理](https://docs.treasure.ai/ja/products/control-panel/datatank/managing-data-tank-2-0-with-the-management-ui.md): Management UIを使用してTreasure AI Data Tank 2.0を設定、監視、制御する方法について説明します。データベース、スキーマ、アクセスキー、SSL証明書などを含みます。 - [Data Tank 2.0 の名称変更](https://docs.treasure.ai/ja/products/control-panel/datatank/rename-data-tank-2-0.md): Treasure AI は、オリジナルの Data Tank サービスの廃止に伴い、Data Tank 2.0 を Data Tank に名称変更します。 - [Data Tank 2.0 メンテナンスについて](https://docs.treasure.ai/ja/products/control-panel/datatank/understanding-data-tank-2-0-maintenance.md): Treasure AI Data Tank 2.0 のメンテナンスウィンドウ、パッチ適用手順、およびアプリケーションの耐障害性に関する推奨事項について説明します。 - [Data Tank 1.0 から 2.0 への移行](https://docs.treasure.ai/ja/products/control-panel/datatank/replacing-data-tank-1-0-with-2-0.md): Treasure AI Data Tank から Data Tank 2.0 への移行ガイド。機能の違い、Integration の変更、Authentication の更新について説明します。 - [REST APIへのアクセス](https://docs.treasure.ai/ja/products/control-panel/security/accessing-rest-apis.md): REST APIアクセスの認証方法と、マスターキーや書き込み専用キーの使い分けについて解説します。セキュリティと権限管理のポイントを説明。 - [プライベートコネクトについて](https://docs.treasure.ai/ja/products/control-panel/security/about-private-connect.md): プライベートコネクトを使用して、非公開ネットワーク経由でTreasure AIサービスに安全にアクセスし、コンプライアンスとセキュリティ要件を満たす方法を説明します。 - [設定変更時の認証要求](https://docs.treasure.ai/ja/products/control-panel/security/authentication-requirement-when-configuring-settings.md): Treasure AIコンソールでの設定変更時に必要な再認証プロセスと、アカウントオーナーおよび管理者向けのセキュリティ要件について詳しく説明します。 - [アクセス制御とデータガバナンスについて](https://docs.treasure.ai/ja/products/control-panel/security.md): Treasure AIのアクセス制御とデータガバナンスのソリューションについて学びます。リソースへのアクセス制限、権限管理、タグ付けによるデータカタログの構築などを含みます。 - [アカウント管理について](https://docs.treasure.ai/ja/products/control-panel/settings/about-account-management.md): Treasure AIコントロールパネルでのアカウント管理方法を解説。オーナー情報変更やパスワードポリシー設定の詳細を紹介します。 - [データ利用状況ダッシュボードへのアクセス](https://docs.treasure.ai/ja/products/control-panel/utilization/accessing-your-data-utilization-dashboard.md): Treasure AIのコントロールパネルで、アカウントのリソース利用状況を詳細に確認できるダッシュボード機能について説明します。データ使用量、ジョブ実行、インテグレーションなどの統計情報を把握できます。 - [Trino利用状況ダッシュボードへのアクセス](https://docs.treasure.ai/ja/products/control-panel/utilization/accessing-your-presto-utilization-dashboard.md): Trinoリソースの利用状況を可視化し、月次プラン制限を追跡するためのダッシュボードへのアクセス方法と、クエリ詳細の分析方法を解説します。 - [ワークフロー利用状況ダッシュボードへのアクセス](https://docs.treasure.ai/ja/products/control-panel/utilization/accessing-your-workflow-utilization-dashboard.md): Treasure Workflowの利用状況を詳細に可視化するダッシュボード。セッション成功率、カスタムスクリプト時間、ワークフロー試行回数などの分析情報を提供します。 - [利用状況](https://docs.treasure.ai/ja/products/control-panel/utilization.md): Treasure AIのコントロールパネルで、リソース利用状況を確認できるダッシュボードの概要と、各ダッシュボードのアクセス権限を説明します。 - [Treasure Insights利用状況](https://docs.treasure.ai/ja/products/control-panel/utilization/treasure-insights-utilization.md): Treasure Insightsの利用状況を可視化するダッシュボード。ユーザー数、データモデル、ロール別の詳細統計を日次で更新します。 - [AutoML利用状況ダッシュボードの表示](https://docs.treasure.ai/ja/products/control-panel/utilization/view-the-utilization-dashboard.md): AutoMLの利用状況を12か月分の棒グラフと詳細テーブルで確認する方法を解説します。月別のAutoML Unit Hoursの使用状況を簡単に把握できます。 - [Treasure AI AI Agent Foundryについて](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/about-treasure-data-ai-agent-foundry.md): Treasure AI AI Agent Foundryは、顧客データを活用し、大規模言語モデルとRAGアーキテクチャを使用して、カスタマイズ可能なAIエージェントを開発するためのプラットフォームです。 - [AI Studio、Foundry Workspace、Audience Agentの比較](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/ai-studio-foundry-workspace-and-audience-agent.md): Treasure AI Studio、Foundry Workspace、Audience Agent、Generic Chatを比較し、 カスタムAI Agent FoundryエージェントがStudioとどう連携するかを解説します。 - [チャットデータ保持期間](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/chat-data-retention-period.md): AI Agent Foundryのチャットデータ保持期間設定方法を解説。14、28、60日から選択可能で、デフォルトは28日、作成日を基準に自動削除されます。 - [Treasure AIのAIエージェントはどのように応答や決定を導き出すか](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/how-do-treasure-data-s-ai-agents-come-up-with-a-response-or-decision.md): Treasure AIのAIエージェントが大規模言語モデルとRAG技術を用いて、どのように応答や決定を生成するかを解説します。データプライバシーを重視した仕組みを説明。 - [Treasure AIのAIシステムの仕組み](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/how-treasure-data-s-ai-systems-work.md): Treasure AIのAIシステムの仕組みを解説。セキュリティとプライバシーを重視した、LLMとエージェントの革新的なアーキテクチャを詳しく説明します。 - [理論上、AIエージェントは不正確または誤った応答を提供する可能性がありますか](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/in-theory-can-an-ai-agent-provide-an-inaccurate-or-false-response.md): AIエージェントの不正確な応答の可能性、原因、Treasure AIの対策について詳しく解説します。 - [AI Foundry 概要](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry.md): Treasure AI AI Agent Foundryで、AIエージェントの開発、管理、データベース連携を効率的に行い、マーケティング活動を最適化します。 - [ランタイムリソース](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/runtime-resources.md): Audience Studioのランタイムリソース機能について、エージェントでテキストデータを入力として使用する方法と、ワークスペースでのリソースアップロード手順を解説します。 - [サポートされているLLMモデル](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/supported-llm-models.md): AI Agent Foundryでサポートされる推論、画像生成、Webサーチモデルの包括的な一覧。Claude、GPT、Amazon Novaなどの最新LLMモデルの詳細を確認。 - [Audience Studioについて](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio.md): Audience Studioで顧客データを統合し、セグメント化、分析、パーソナライズされたマーケティング施策を効率的に実現する統合プラットフォーム。 - [セグメントエディタで属性グループを表示する](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/viewing-attribute-groupings-in-the-segment-editor.md): Audience Studioのセグメントエディタで属性グループを効率的に表示・管理する手順を解説します。セグメント作成のワークフローを簡単に理解できます。 - [Complete CDP](https://docs.treasure.ai/ja/products/customer-data-platform/complete-cdp.md): Treasure AI Complete CDP は、データの収集、統合、セグメンテーション、アクティベーションのための完全マネージド型インフラストラクチャを備えたオールインワンのカスタマーデータプラットフォームです。 - [Audience Agentの開始](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/starting-audience-agent.md): Audience Studioのプレミアム機能であるAudience Agentの設定、アクセス方法、主要なユースケースを解説する技術文書です。 - [Data Workbench](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench.md): Treasure AIのデータワークベンチで、クエリ、ワークフロー、データベース活動を追跡し、データエンジニアリングを効率化する機能を解説します。 - [Data Ingest](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/data-ingest.md): Treasure AIでのデータ取り込み方法を解説。バッチ、リアルタイム、ライブコネクトの3つのインジェストタイプを詳しく説明します。 - [Integration Hub](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub.md): Treasure AI Integration Hubで、170以上のコネクタを使用してデータソースを簡単に接続し、マーケティングデータを統合・管理する方法を説明します。 - [Snippet Create New Authentication Steps](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/snippet-create-new-authentication-steps.md): Treasure AI Integrations Hubで新しい認証ステップを作成する手順を詳しく解説します。統合カタログでの認証設定方法を学べます。 - [Working With the Catalog](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/working-with-the-catalog.md): Treasure AI Catalogを使用して、third-party serviceのcredentialを安全に管理し、data import/exportのauthentication設定を簡単に作成および再利用する方法を説明します。 - [Treasure コンソールでクエリ結果をダウンロードする](https://docs.treasure.ai/ja/products/customer-data-platform/job-management/downloading-query-results-in-td-console.md): Treasure コンソールでクエリ結果を簡単にCSV、TSV、JSON形式でダウンロードする手順を解説します。ブラウザまたはCLIからダウンロード可能です。 - [ジョブについて](https://docs.treasure.ai/ja/products/customer-data-platform/job-management.md): Treasure AIのジョブ管理インターフェースで、クエリとデータインポートのジョブステータスを簡単に追跡し、過去90日間のアクティビティを確認できます。 - [ジョブ管理](https://docs.treasure.ai/ja/products/customer-data-platform/job-management/job-management.md): Treasure AIのジョブ管理について、ステータス、実行方法、タスクの追跡など、ジョブ操作の詳細を解説します。 - [ジョブの管理](https://docs.treasure.ai/ja/products/customer-data-platform/job-management/managing-jobs.md): Treasure AIでジョブを効率的に管理する方法を説明。ジョブの表示、優先度設定、並列処理の最適化について解説します。 - [Treasure コンソールを使用したジョブのスケジューリング](https://docs.treasure.ai/ja/products/customer-data-platform/job-management/scheduling-jobs-using-td-console.md): Treasure コンソールでジョブのスケジューリング方法を解説。cronスケジュール、実行頻度、タイムゾーン設定など、定期的なクエリ実行の詳細を説明します。 - [TD Toolbeltを使用したスケジューリング](https://docs.treasure.ai/ja/products/customer-data-platform/job-management/scheduling-using-the-td-toolbelt.md): TD Toolbeltを使用して、Treasure AIでクエリスケジューリングを簡単に設定し、定期的なデータ集計や分析タスクを自動化する方法を説明します。 - [スケジューリング](https://docs.treasure.ai/ja/products/customer-data-platform/job-management/scheduling.md): Treasure AIのスケジューラ機能について、cronを使わずに定期的なクエリ実行をスケジュールする方法を解説します。 - [ジョブのデータベースを選択する](https://docs.treasure.ai/ja/products/customer-data-platform/job-management/selecting-a-database-for-a-job.md): Treasure AIでジョブのデータベースを選択する方法と、権限管理、クエリ実行時の注意点を解説します。 - [ジョブ優先度の設定](https://docs.treasure.ai/ja/products/customer-data-platform/job-management/setting-job-priority.md): Treasure AIでジョブ優先度を設定する方法を解説。クエリの実行順序と重要度を制御し、リソース管理を最適化する方法を詳しく説明します。 - [ジョブの共有](https://docs.treasure.ai/ja/products/customer-data-platform/job-management/sharing-jobs.md): Treasure AIでジョブを他のユーザーと簡単に共有する方法を説明し、チームのコラボレーションを促進する方法を紹介します。 - [Treasure AI ジョブタイプ](https://docs.treasure.ai/ja/products/customer-data-platform/job-management/treasure-data-job-types.md): Treasure AIのジョブタイプを詳しく解説。Presto、Hive、データインポートなど、クラウド上で実行される様々なジョブの特徴を紹介します。 - [ジョブ情報の表示](https://docs.treasure.ai/ja/products/customer-data-platform/job-management/viewing-job-information.md): Treasure AIでジョブ情報を詳細に表示する方法を解説。結果、クエリ、ログ、ジョブ詳細など、ジョブ管理に必要な情報を確認できます。 - [End Event の作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/creating-an-end-event.md): End Event は、プロファイルが Milestone または Exit Criteria の条件を満たさない限り、この Journey フローでこれ以上のアクションを行わないことを示す視覚的なインジケーターです。 - [データインポートのステータスと出力ログの表示](https://docs.treasure.ai/ja/products/customer-data-platform/job-management/viewing-the-data-import-status-and-output-logs.md): Treasure コンソールでTDジョブのステータスと出力ログを確認する方法を解説。成功、エラー、実行中などのジョブステータスと、詳細情報の表示方法を説明します。 - [REST API を使用した Journey の作成、更新、削除](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/creating-updating-and-deleting-journeys-using-the-rest-api.md): API を使用して Customer Journey を作成、変更、削除できます。フォルダー権限によって、顧客プロファイルのリストを取得したり、Journey を作成、変更、削除したりする機能に影響が出る場合があります。 - [Journeyの詳細分析](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/drilling-down-into-journeys.md): Customer Journey Dashboardは、バッチJourney、ステージ、およびプロファイルに関する統計データを含むチャートを提供します。 - [Journey概要](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration.md): オムニチャネル体験を管理するCXマネージャー向けに、Treasure AI Journey Orchestrationは購買サイクルに沿ってオーディエンスを特定し、個人の行動に関連するキャンペーンとチャネルを接続します。 - [Journey Canvas統計](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/journey-canvas-statistics.md): Journey Canvas統計 - [Journey Simulation](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/journey-simulation.md): Audience Studioのジャーニーシミュレーション機能。本番前にジャーニーのエントリー条件、分岐、待機ステップを安全に検証し、キャンペーンの精度を向上させます。 - [REST APIを使用したTreasure AI Journey Orchestration](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/treasure-data-journey-orchestration-using-the-rest-api.md): Treasure AI Journey Orchestrationを使用して、顧客とのインタラクションを管理できます。 - [Journeyを終了するプロファイルがゼロ](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/zero-profiles-exiting-journey.md): Journeyを確認すると、Journeyを終了したプロファイルがゼロであることに気づく場合があります。そして各ステージのプロファイル数が増加します。これが発生する理由を確認しましょう。 - [リアルタイム パーソナライゼーションについて](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/about-real-time-personalization.md): Treasure AI CDPを使用して、リアルタイムデータと顧客プロファイルに基づいたパーソナライズされたWebエクスペリエンスを作成する方法を解説します。 - [Real-Time 2.0における属性とJourneyのセットアップ](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/attribute-and-journey-setup-in-real-time-2-0.md): このセクションでは、ユーザーインターフェース内で属性とJourneyがどのように定義、表示、管理されるかを紹介します。これらのアップデートにより、リアルタイムの動作とパーソナライゼーションロジックを設定する際の可視性、一貫性、安全性が向上します。このドキュメントでは、属性の可視性、バッチからリ... - [リアルタイム パーソナライゼーション APIについて](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/about-the-real-time-personalization-api.md): Treasure AIのリアルタイムパーソナライゼーションAPIの設定、ルーティング、イベント送信の仕組みを解説する技術文書です。内部使用のAPIエンドポイントと設定プロセスを詳しく説明しています。 - [リストアトリビュートの変更](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/changing-a-list-attribute.md): Treasure Audience Studioでリストアトリビュートの変更、追加、削除の手順を詳しく解説します。期間、要素数、属性の管理方法を学べます。 - [単一値アトリビュートの編集と削除](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/changing-a-single-value-attribute.md): Treasure Audience Studioで単一値アトリビュートを編集・削除する方法を解説。属性の名前、説明、スライディング期間の変更や、削除の手順を詳しく説明します。 - [カウンターアトリビュートの変更](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/changing-counter-attributes.md): Treasure AI Audience Studioでカウンターアトリビュートを変更・削除する方法を解説。権限、手順、設定オプションについて詳しく説明しています。 - [リアルタイム セグメント ルールの作成](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/create-real-time-segment-rules.md): Treasure AI Audience Studioでリアルタイムセグメントルールを作成する方法を解説。属性、行動、既存セグメント、予測スコアに基づいてカスタマイズ可能なセグメントルールの設定手順を詳しく説明。 - [リアルタイム パーソナライゼーション APIを使用したリアルタイム アクティベーションの作成](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/creating-a-real-time-activation-using-the-rest-api.md): Treasure AIのリアルタイムパーソナライゼーションAPIを使用して、イベントの取り込みとパーソナライゼーションレスポンスを受信する方法を解説します。 - [カウンターアトリビュートの作成と表示](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/creating-a-counter-attribute.md): Treasure AI でスライディングカウンターおよびトータルカウンターアトリビュートを作成し、リアルタイムパーソナライゼーションのためにイベント数や生涯合計を追跡する方法をご紹介します。 - [Machine Learning](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning.md): Treasure AI Machine Learningソリューション - [リアルタイム用ペアレントセグメントの設定](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/creating-a-real-time-configuration.md): Audience Studioのリアルタイムジャーニーに向けて、ペアレントセグメントを設定する方法を詳しく解説します。イベント、ID、属性の構成手順を紹介します。 - [Audience Studioを使用したリアルタイム パーソナライゼーションの作成](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/creating-a-real-time-personalization-with-audience-studio.md): Audience Studioを使用して、リアルタイムでユーザーに合わせたパーソナライゼーションを作成する手順と設定方法を解説します。 - [リストアトリビュートの作成と表示](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/creating-and-viewing-a-list-attribute.md): Treasure AI Audience Studioでリストアトリビュートを作成・管理する方法を解説。制限事項、作成手順、必要な設定項目を詳しく説明します。 - [単一値アトリビュートの作成](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/creating-single-value-attributes.md): 単一値アトリビュートの作成方法を解説。Treasure AI Audience Studioで、名前、メール、購入金額などのアトリビュート設定手順を詳しく説明します。 - [Real-Time 2.0 入門ガイド](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/getting-started.md): Real-Time 2.0の入門ガイドで、前提条件、セットアップ、ベストプラクティスを詳しく解説。管理者向けの実装手順と注意点を網羅。 - [バッチアトリビュートのインポート](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/importing-batch-attributes.md): Treasure Audience Studioでバッチアトリビュートをインポートする手順を解説。ペアレントセグメントへのアトリビュート追加方法と注意点を詳しく説明します。 - [JSONイベントプロパティの取り込み - JSONリマッピング](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/ingesting-json-event-properties-json-remapping.md): JSONイベントプロパティの取り込み時に、ネストされたフィールドをトップレベルに簡単に昇格させる方法を解説します。Real-Timeパイプラインでのデータアクセスを効率化します。 - [Real-time 2.0 A/Bテストの作成](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/creating-a-realtime-ab-test.md): Real-time 2.0 A/Bテストの作成 - [Lookup Catalog 同期ワークフロー](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/lookup-catalog-workflow.md): cdp_lookup_catalog テーブルのデータを RT 2.0 の内部ストレージにアップロードする Treasure Workflow の同期ワークフローの設定方法と実行方法を説明します。 - [Real-time 2.0 の設定と初期化](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/real-time-2-0-configuration-and-initialization.md): Real-Time 2.0 の設定と初期化では、ID スティッチングのセットアップ方法、イベントと属性の定義方法、およびリアルタイムで使用するためのバッチデータの準備方法について説明します。 - [Lookup Catalog](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/lookup-catalog.md): RT 2.0 Lookup Catalog を使用して、商品カタログ・クーポン定義・セールスケジュールなど、ユーザーキー以外のビジネスデータをリアルタイムパーソナライゼーションのレスポンスで参照する方法を説明します。 - [リアルタイム 2.0 システム パフォーマンス 制限と期待される動作](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/real-time-2-0-system-performance-limitations-and-expected-behavior.md): Real-Time 2.0のシステムパフォーマンス制限と期待される動作を詳細に解説。イベント取り込み、IDステッチング、アトリビュート、APIレスポンスの制約を網羅。 - [Real-time 2.0 コネクターと統合](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/real-time-2-0-connectors-integrations.md): Real-Time 2.0により、Treasure AIユーザーはアクティベーションワークフローとダウンストリームシステム間の直接接続を確立できます。 - [リアルタイムデバッグ用 AI スキル](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/real-time-ai-debugging-skills.md): Treasure AI スキルを使用して、リアルタイムアクティベーションの失敗、ID ステッチングの問題、ジャーニー実行の問題をデバッグします。 - [リアルタイムアトリビュート FAQ](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/real-time-attribute-faqs.md): Treasure AI のリアルタイムアトリビュートのデプロイ、設定、カウンターの動作に関するよくある質問をまとめています。 - [リアルタイム アトリビュート 概要](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/real-time-attributes-overview.md): Treasure AIのリアルタイムアトリビュートの5つのタイプと、顧客行動をキャプチャし、リアルタイムでデータを活用する方法を解説します。 - [Real-Time 2.0 よくある質問](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/real-time-faq.md): Treasure AI AI Marketing Cloud の Real-Time 2.0 に関するリアルタイムレイヤー、ID Stitching、リアルタイム処理とバッチ処理の違いなどのよくある質問と回答をまとめたガイドです。 - [リアルタイム ID ステッチング概要](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/real-time-id-stitching-overview.md): Real-Time 2.0 がリアルタイム層とバッチ層にまたがって ID ステッチングを実行する方法（用語、機能、ユースケースを含む）について説明します。 - [リアルタイム オブザーバビリティとログ](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/real-time-observability-and-logs.md): Treasure AIのリアルタイムモニタリングダッシュボードで、システムのパフォーマンスとイベント処理を詳細に可視化し、リアルタイムデータの洞察を得る方法を解説します。 - [リアルタイム オブザーバビリティ イベント トラッキング](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/real-time-observability-event-tracking.md): Treasure AIのリアルタイムイベントトラッキングにおける、td_rt_tracking_idカラムを使用したイベントのトレーサビリティと関連付け方法を解説します。 - [リアルタイムパーソナライゼーション2.0クライアントサイドユースケースガイド](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/real-time-personalization-2-0-client-side-use-case-guide.md): Webブラウザから直接、安全かつリアルタイムにパーソナライズされた体験を提供するクライアントサイドのTreasure AIパーソナライゼーション実装ガイド。 - [リアルタイムパーソナライゼーション2.0サーバーサイドユースケースガイド](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/real-time-personalization-2-0-server-side-use-case-guide.md): Treasure AIのリアルタイムパーソナライゼーション2.0のサーバーサイド実装ガイド。データ取り込み、属性設定、セグメンテーション、APIインテグレーションの詳細な手順を解説。 - [Real-Time 2.0 概要](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/real-time.md): Treasure AIのReal-Time 2.0のアーキテクチャとイベント処理フロー（デュアルパス処理、リアルタイム属性更新、バッチ処理）について説明します。 - [リアルタイム トリガー アクティベーション ログのレビュー](https://docs.treasure.ai/ja/products/customer-data-platform/real-time/reviewing-real-time-triggered-activation-logs.md): リアルタイムトリガーアクティベーションのログを確認し、アクティベーションの成功、失敗、プロファイル情報を追跡する方法を説明します。Prestoクエリを使用してアクティベーションの詳細を分析できます。 - [Treasure Insightsへのアクセス](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/accessing-treasure-insights.md): Treasure Insightsにアクセスする方法と、ダッシュボードを表示するために必要な権限について説明します。管理者への権限リクエスト方法も解説。 - [Treasure InsightsダッシュボードとInsightsモデル設計のベストプラクティス](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/best-practices-for-treasure-insights-dashboard-and-insights-model-design.md): Treasure Insightsのダッシュボードとモデル設計における、パフォーマンス向上のための重要なベストプラクティスを解説します。効率的なデータ可視化のヒントを紹介。 - [ElasticubeのInsightsモデルの構築](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/building-an-elasticube-insights-model.md): Treasure InsightsでElasticubeのInsightsモデルをビルドする手順を解説。データ置換方法の選択や、ビルド時の注意点を詳しく説明します。 - [ダッシュボードウィジェットタイプの変更](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/changing-a-dashboard-widget-s-type-1.md): Treasure Insightsでダッシュボードウィジェットのタイプを簡単に変更する方法を解説。グラフ形式の柔軟な変更と設定方法を紹介します。 - [ダッシュボードウィジェットの組み合わせ](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/combining-dashboard-widgets.md): Treasure Insightsでダッシュボードウィジェットを組み合わせる方法を解説。異なるチャートタイプを使用してデータを視覚的に表現し、分析を深める手順を紹介します。 - [ElasticubeのInsightsモデルの設定](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/configuring-elasticube-insights-models.md): Treasure AIで、ElasticubeのInsightsモデルを設定する2つの方法を解説。コンソールとAPIを使用したモデル構築の手順を詳しく説明します。 - [TIアクセスの設定](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/configuring-ti-access.md): Treasure Insightsのアクセス権限の4つのタイプと、管理者によるユーザーロールの設定方法を詳しく解説します。 - [Treasure Insightsの設定](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/configuring-treasure-insights.md): Treasure Insightsの設定方法を解説。ダッシュボードの作成、アクセス、フィルタリングなど、データ分析の基本操作を詳しく説明します。 - [YAMLファイルの作成](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/create-a-yaml-file.md): Treasure Insightsで使用するYAMLファイルの作成方法を解説。必須プロパティ、APIキー、データセット設定など、詳細な手順を説明します。 - [Insightsモデルデータセットの作成](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/create-an-insights-model-dataset.md): Treasure Insightsモデルのデータセット作成方法を解説。データベース、テーブル、列定義の設定手順とAPIエンドポイントの使用方法を詳しく説明します。 - [Insightsモデルの作成](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/create-an-insights-model.md): Treasure AI Insightsモデルの作成方法を解説。APIエンドポイントを使用したデータモデル構築と、モデル名の命名規則を詳しく説明します。 - [テーブルの作成または追加](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/create-or-add-a-table.md): Treasure Insightsでテーブルを作成・追加する方法を解説。APIエンドポイントを使用して、カラム定義やデータタイプの設定方法を詳しく説明します。 - [ダッシュボードウィジェットの作成](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/creating-a-dashboard-widget.md): Treasure Insightsでダッシュボードウィジェットを作成する方法を解説。データ可視化の基本手順と、簡単なウィジェット作成のステップを紹介します。 - [APIを使用したElasticubeのInsightsモデルの作成](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/creating-an-elasticube-insights-model-using-the-api.md): APIを使用してTreasure InsightsのElasticubeモデルを作成する手順を詳細に解説。データベース選択、関係設定、モデル公開のプロセスを説明。 - [新しいダッシュボードの作成](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/creating-a-new-dashboard.md): Treasure Insightsで新しいダッシュボードを作成する手順を解説。データソース接続から初期設定まで、簡単なステップバイステップガイドを提供します。 - [Treasure コンソールでのElasticubeのInsightsモデルの作成](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/creating-an-elasticube-insights-model-in-td-console.md): Treasure コンソールでElastiCubeのInsightsモデルを作成する手順を解説。データソースの定義、テーブル関係の設定、分析ダッシュボード構築の方法を詳しく説明します。 - [ウィジェットを使用したフィルターの作成](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/creating-filters-with-widgets-1.md): Treasure Insightsでウィジェットを使用してダッシュボードのフィルターを作成する方法を説明します。単一・複数選択、データ領域のドラッグ、トグルによるフィルタリングを解説。 - [PDFレポートの作成](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/creating-pdf-reports.md): Treasure InsightsでダッシュボードのカスタムPDFレポートを作成し、簡単に他のチームメンバーと共有する方法を説明します。 - [ダッシュボードウィジェットの色のカスタマイズ](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/customizing-dashboard-widget-colors.md): Treasure Insightsでダッシュボードウィジェットの色をカスタマイズする方法を解説。単色、色の範囲、条件付き色の設定方法を詳しく説明します。 - [PDFレポートのカスタマイズ](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/customizing-pdf-reports.md): Treasure InsightsでPDFレポートをカスタマイズする方法を解説。用紙サイズ、向き、ヘッダー、フッターなど、詳細な設定方法を紹介します。 - [ダッシュボードウィジェットタイプリファレンス](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/dashboard-widget-types-reference.md): Treasure Insightsのダッシュボードで利用可能な各ウィジェットタイプの詳細な説明と、グラフの種類、用途、視覚化方法を解説します。 - [ダッシュボード](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/dashboards.md): Treasure Insightsのダッシュボードで、データを視覚化し、ビジネスインサイトを効率的に分析・監視する方法を解説します。 - [テーブルの削除](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/delete-a-table.md): Treasure Insightsでテーブルを削除するためのAPIエンドポイントと手順を解説。データモデルのリレーションに注意が必要な削除プロセスを説明します。 - [Insightsモデルデータセットの削除](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/delete-an-insights-model-dataset.md): Treasure Insightsでデータセットを完全に削除する方法を説明します。APIエンドポイントの使用方法と、削除後の注意点を解説します。 - [Insightsモデルの削除](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/delete-an-insights-model.md): Treasure Insightsでデータモデルを削除する方法と、削除時の注意点について説明するページです。APIリクエストと制限事項を解説します。 - [ElasticubeのInsightsモデルの削除](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/deleting-an-elasticube-insights-model.md): Treasure InsightsでElasticubeのInsightsモデルを安全に削除する手順と、関連するダッシュボードへの影響について説明します。 - [欠損値とゼロの表示](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/displaying-missing-values-and-zeros.md): Treasure insightsでts欠 損値 (null 値 ) を�ータフに表 示 - グラフ表の連続 性 、を改善 表示 る方法を 説説明 - [ダッシュボードを画像としてダウンロード](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/downloading-a-dashboard-as-an-image.md): Treasure Insightsでダッシュボードを画像としてダウンロードする方法を解説。プレゼンテーションやウェブサイトで簡単に共有できる画像出力の手順を紹介。 - [ウィジェットのダウンロード](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/downloading-widgets.md): Treasure Insightsでウィジェットをダウンロードする方法を解説。CSV、Excel、画像、PDFの4つの形式で、データやグラフを簡単にエクスポートできます。 - [ウィジェットへのドリルダウン](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/drilling-down-into-a-widget.md): Treasure Insightsのウィジェットでデータをドリルダウンする方法を解説。右クリックで詳細な分析や階層的な情報の表示方法を紹介します。 - [ダッシュボードデータのフィルタリング](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/filtering-dashboard-data.md): Treasure Insightsのダッシュボードでデータをフィルタリングする方法を解説。フィルターパネルの使い方、フィルターの切り替え、デフォルトビューの保存など、データ分析に役立つ機能を紹介します。 - [ElasticubeのInsightsモデルの編集](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/editing-an-elasticube-insights-model.md): Treasure InsightsでElasticubeのInsightsモデルを編集する方法を解説。詳細の変更、データ接続の更新、テーブル管理の手順を紹介します。 - [ダッシュボードウィジェット数値の書式設定](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/formatting-dashboard-widget-numbers.md): Treasure Insightsでダッシュボードウィジェットの数値書式を簡単にカスタマイズする方法を解説。数値、通貨、パーセント形式の変更手順を紹介します。 - [ビルドのステータスの取得](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/get-the-status-of-a-build.md): Treasure Insightsでビルドのステータスを取得する方法を説明します。APIを使用してビルドの状態を確認し、pending、building、doneなどの異なるステータスを理解できます。 - [Treasure Insightsアクセスの付与](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/granting-treasure-insights-access.md): Treasure Insightsへのアクセス権限を管理者が付与する際の制限事項と手順を詳しく解説します。ロール設定、SSOユーザーの注意点など、具体的な権限管理方法を説明します。 - [Treasure Insightsレポートの生成](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/generating-treasure-insights-reports.md): Treasure Insightsでレポートを生成、共有、カスタマイズする方法を解説。ウィジェット、ダッシュボード、PDFレポートの作成手順を詳しく説明。 - [Treasure Insights](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights.md): Treasure Insightsで、データモデリングから分析、レポート作成まで、複雑なデータを簡単に可視化し、マーケティング戦略を最適化します。 - [Insightsモデルエンドポイント リファレンス](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/reference-insights-model-endpoints.md): Treasure Insightsデータモデルエンドポイントの REST APIリファレンス。curlサンプルを使用してInsightsデータモデルの作成、設定、共有、ビルドができます。 - [ダッシュボードウィジェットフィールドの名前変更](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/renaming-dashboard-widget-fields.md): Treasure Insightsでダッシュボードウィジェットのフィールド名を簡単にカスタマイズする方法を解説。データの可読性を向上させる名前変更の手順を紹介します。 - [データモデルのAPIキーの置き換え](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/replacing-the-api-key-for-data-models.md): データモデルのAPIキーを安全に置き換える手順を解説。REST APIを使用して、Treasure AIのデータモデルのキーをローテーションする方法を詳しく説明します。 - [Insightsモデルビルドのスケジュール](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/schedule-an-insights-model-build.md): Treasure Workflowを使用してInsightsモデルビルドをスケジュールする方法を解説。UTC時間帯での定期的なビルド設定と、APIを使用したモデル構築プロセスを詳しく説明。 - [ElasticubeのInsightsモデルの共有](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/sharing-elasticube-insights-models.md): Treasure InsightsでElasticubeのInsightsモデルを他のユーザーと共有する手順と注意点を解説します。権限設定と共有方法を詳しく説明します。 - [Insightsモデルの共有](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/share-an-insights-model.md): Treasure AIのダッシュボードで、Insightsモデルを他のユーザーと共有する方法と要件について説明します。APIを使用したモデル共有の手順を解説。 - [Insightsモデルビルドの開始](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/start-the-insights-model-build.md): Treasure InsightsのデータモデルビルドをAPIで開始する方法を解説。ビルドタイプの指定や必要なエンドポイントについて詳しく説明します。 - [Treasure Insightsモデル](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/treasure-insights-model.md): Treasure Insightsのデータモデルについて、データ要素の整理と標準化の仕組みを解説する技術文書です。ダッシュボード作成の基礎となるモデル構造を説明します。 - [TIダッシュボードウィジェット](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/ti-dashboard-widgets.md): Treasure Insightsのダッシュボードウィジェットの作成方法と、データを動的に可視化する手順を解説します。チャートタイプの選択と複数ウィジェットの追加について詳しく説明。 - [可能性のあるビルドエラーの理解](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/understanding-possible-build-errors.md): Treasure Insightsのモデルビルドにおける一般的なステータスと、各ステータスの意味を詳細に解説します。ビルドプロセスの理解に役立つ技術情報を提供。 - [テーブルの更新](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/update-a-table.md): Treasure Insightsでテーブルを更新するPUT APIの使用方法と、テーブル定義の変更手順を解説する技術ドキュメントページです。 - [Insightsモデルリレーションの更新](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/update-an-insights-model-relation.md): Treasure Insightsのデータモデルリレーションを更新する方法を解説。既存のリレーションを削除し、新しいリレーション定義を作成する手順を詳しく説明します。 - [ElasticubeのInsightsモデル制限とストレージの表示](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/viewing-an-elasticube-insights-model-limits-and-storage.md): Treasure InsightsでElasticubeのInsightsモデル制限とストレージを確認する方法を解説。モデルのリスト、リソース制限、ストレージ容量の表示方法を詳しく説明します。 - [Yaml例](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/yaml-example-1.md): Treasure Insightsでのデータモデル定義のYAML設定例を解説し、テーブル関連付けと列の型指定方法を示します。 - [ダッシュボードの表示](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/viewing-dashboards.md): Treasure Insightsでダッシュボードを表示、検索、管理する方法を解説。共有ダッシュボードの見つけ方や操作方法を詳しく説明します。 - [Treasure Insightsロールの表示](https://docs.treasure.ai/ja/products/customer-data-platform/treasure-insights/viewing-treasure-insights-roles.md): Treasure Insightsの4つのユーザーロールと、管理者がコントロールパネルでロールを表示・管理する方法を解説します。 - [Engage StudioのAlways-onキャンペーン](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/always-on-campaigns.md): Engage Studioで継続的なジャーニートリガー型アクティベーションのためのAlways-onキャンペーンを作成・管理する方法を学びます。 - [Engage FAQ](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/engage-faq.md): Engage Studioの主要な機能、IPウォームアップ、メール送信、コンテンツ作成に関する重要なFAQを網羅し、メールマーケティングの技術的な詳細を解説します。 - [Engage Studio入門](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/engage-setup.md): Engage Studioの初期設定ガイド。ワークスペース、権限、メールやプッシュ通知チャネルの構成方法を詳しく解説します。 - [Engage Studio](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio.md): Treasure AIのネイティブジャーニーオーケストレーションツール。AIとCDP統合により、パーソナライズされたマルチチャネルマーケティングを簡単に実現します。 - [ワークスペースと権限](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/permissions.md): Engage Studioのワークスペースと権限管理について、セキュアなマーケティング資産の分離とアクセス制御の仕組みを解説します。 - [Report for Engage](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/report-for-engage.md): このレポートは、指定した期間におけるメールマーケティングの全体的なパフォーマンスとROIを要約します。 - [キャンペーン](https://docs.treasure.ai/ja/products/marketing-cloud/personalization-studio/campaigns.md): Personalization Studioにおけるキャンペーンのライフサイクル、ステータス、優先度について説明します。 - [Personalization Studio FAQ](https://docs.treasure.ai/ja/products/marketing-cloud/personalization-studio/faq.md): Personalization Studioのよくある質問とトラブルシューティング。セットアップ、ページ、オーディエンス、キャンペーン、技術的な問題について説明します。 - [キャンペーンの作成](https://docs.treasure.ai/ja/products/marketing-cloud/personalization-studio/creating-campaigns.md): Personalization Studioの4ステップキャンペーンウィザードを使用して、ウェブパーソナライゼーションキャンペーンを作成、設定、プレビュー、配信する手順を説明します。 - [Personalization Studioのはじめかた](https://docs.treasure.ai/ja/products/marketing-cloud/personalization-studio/getting-started.md): Parent Segmentの設定、権限、ブラウザセキュリティ、Web SDKのインストール、ページ登録を含むPersonalization Studioの初期セットアップ手順を説明します。 - [オーディエンスの管理](https://docs.treasure.ai/ja/products/marketing-cloud/personalization-studio/managing-audiences.md): Audience Studioから既存のバッチセグメントをインポートして、Personalization Studioでオーディエンスを作成・管理します。 - [Personalization Studio 概要](https://docs.treasure.ai/ja/products/marketing-cloud/personalization-studio.md): Treasure AI Personalization Studioでウェブサイトコンテンツをリアルタイムにパーソナライズ。Customer Data Platformを使用して、異なるオーディエンスに異なる画像、テキスト、CTAを表示します。 - [ページとコンテンツスポットの管理](https://docs.treasure.ai/ja/products/marketing-cloud/personalization-studio/managing-pages.md): Personalization StudioのVisual Selectorを使用してウェブサイトページを登録し、コンテンツスポットを定義します。 - [Personalization Studioの権限](https://docs.treasure.ai/ja/products/marketing-cloud/personalization-studio/permissions.md): Personalization Studioのアクセス制御のためのPolicy-Based Permissions（PBP）を設定します。 - [Policy-Based Workflow Permissions](https://docs.treasure.ai/products/control-panel/security/policies/workflow-permissions.md): Learn how to configure workflow permissions at global and project levels, including setting permissions from Treasure Console and the API. - [Web SDKインテグレーション](https://docs.treasure.ai/ja/products/marketing-cloud/personalization-studio/web-sdk-integration.md): Personalization Studio向けのWeb SDKのインストールとブラウザセキュリティの設定について説明します。 - [Workflow Permissions Matrix](https://docs.treasure.ai/products/control-panel/security/policies/workflow-permissions/workflow-permissions-matrix.md): Reference table of Treasure Workflow actions and the required permissions for the UI and CLI (TD Toolbelt). - [Creating a New Folder](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/folder/creating-a-new-folder.md): Learn how to create and organize folders in Treasure AI's Audience Studio to efficiently manage and categorize your customer data segments. - [Folder Based Permissions](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/folder/folder-based-permissions.md): Control access to folders and data in Treasure AI's Audience Studio with granular view and full control permissions, enabling precise user access management. - [Folder Dashboard Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/folder/folder-dashboard-overview.md): Use the Folder Dashboard to analyze total profiles, growth rates, and compare segment profiles for a specific folder. - [Folders Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/folder.md): Discover how to organize, manage, and navigate folders in Audience Studio, including folder tree structure, dashboard insights, and efficient asset management techniques. - [Configuring Widgets for Segment Insights](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/insights/configuring-widgets-for-segment-insights.md): Learn how to configure the 8 chart types available for Segment Insights widgets, including pie charts, histograms, and indicators. - [Creating a New Segment Insights Dashboard](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/insights/creating-a-new-segment-insights-dashboard.md): Learn how to create and publish a new Segment Insights dashboard with up to 10 widgets in Audience Studio. - [Deleting a Segment Insights Dashboard](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/insights/deleting-a-segment-insights-dashboard.md): Learn how to delete a Segment Insights dashboard and reassign the default dashboard in Audience Studio. - [Deleting Widgets in Your Segment Insights Dashboard](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/insights/deleting-widgets-in-your-segment-insights-dashboard.md): Learn how to remove widgets from a Segment Insights dashboard in Audience Studio. - [Editing a Segment Insights Dashboard](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/insights/editing-a-segment-insights-dashboard.md): Learn how to edit an existing Segment Insights dashboard and update its widgets in Audience Studio. - [Segment Insights Dashboard Overview](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/insights.md): Visualize segment metrics with customizable dashboards and widgets in Audience Studio to understand your audience composition and distribution. - [Organizing Segment Insights Dashboard Widgets](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/insights/organizing-segment-insights-dashboard-widgets.md): Learn how to reorganize the layout and order of widgets in your Segment Insights dashboard. - [Troubleshooting Segment Insights Configuration Errors](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/insights/troubleshooting-segment-insights-configuration-errors.md): Resolve common Segment Insights errors including rendering failures, missing widget values, and permission issues. - [Using a Segment in a Segment Insights Dashboard](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/insights/using-a-segment-in-a-segment-insights-dashboards.md): Learn how to open a batch segment and visualize Segment Insights dashboards in the Segment Editor. - [Array Operators](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/rule-operator/array-operators.md): Learn how array operators filter and select profile data with multiple values, including 'any', 'only', 'at least', and other comparison methods for precise audience segmentation. - [Behavior Aggregation Rules](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/rule-operator/behavior-aggregation-rules.md): Learn how to use behavior aggregation rules in audience segmentation, including count, average, distinct, first, last, sum, min, and max functions. - [Behavior Filters in Multiple Rule Sets](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/rule-operator/behavior-filters-in-multiple-rule-sets.md): Learn how to create flexible audience segments using behavior filters across multiple rule sets, combining criteria from different events and sessions. - [Creating a Time Based Column Filter in Treasure Console](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/rule-operator/creating-a-time-based-column-filter-in-td-console.md): Learn how to convert Unix time columns to timestamp type using the Data Workbench segment editor for time-based filtering in Audience Studio. - [Creating a Time Based Column Filter Using a REST API](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/rule-operator/creating-a-time-based-column-filter-using-a-rest-api.md): Learn how to convert Unix time columns to timestamp using a REST API call, with specific steps for obtaining and modifying parent segment configuration. - [Creating a Time Based Column Filter](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/rule-operator/creating-a-time-based-column-filter.md): Learn how to convert Unix time columns to timestamp for effective time-based filtering in Treasure AI's Audience Studio Segment tool. - [Customizing Behavior and Attribute Columns for Segment Rules](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/rule-operator/customizing-behavior-and-attribute-columns-for-segment-rules.md): Learn how to use timestamp operators to create custom time-based attribute and behavior filters for segment rules in Audience Studio. - [Match Logic Any Advanced Example](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/rule-operator/match-logic-any-advanced-example.md): Learn how match logic ANY handles profile qualification with NULL values in behavior data, exploring advanced segmentation techniques for customer data platforms. - [Match Logic Rules and Errors for Segment Editor](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/rule-operator/match-logic-rules-and-errors-for-segment-editor.md): Learn how to use match logic types (All, Any, Advanced) in the Segment Editor to create precise audience segments with specific rule combinations and logic constraints. - [Rule Operator Quick Start Reference](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/rule-operator/rule-operator-quick-start-reference.md): Comprehensive guide to rule operators in Audience Studio, covering Is, Is Not, Starts With, and null operators for efficient segment rule creation. - [Rule Operators](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/rule-operator/rule-operators.md): Learn how rule operators help segment audiences by defining precise filtering conditions across arrays, timestamps, behaviors, and multiple rule sets. - [Timestamp Operators in Audience Studio](https://docs.treasure.ai/products/customer-data-platform/audience-studio/segment/rule-operator/timestamp-operators-in-audience-studio.md): Learn how to use timestamp operators in Audience Studio to filter customer data by date and time, enabling precise audience segmentation for targeted marketing campaigns. - [Presto 0 188 to 0 205 Migration 2018](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/archives/presto-0-188-to-0-205-migration-2018.md): Technical guide for migrating from Presto 0.188 to 0.205, detailing SQL syntax changes, system function updates, and migration strategies for data engineers. - [Presto 0 205 to 317 Migration 2020](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/archives/presto-0-205-to-317-migration-2020.md): Comprehensive migration guide for Presto 0.205 to 317, detailing new features, deprecated elements, migration steps, query syntax updates, and best practices for Treasure Data users. - [TD Presto 350 Release Note](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/archives/presto-350.md): Comprehensive release notes for TD Presto 350, detailing performance improvements, new UDFs, SQL support, JDBC enhancements, and migration guidance for data professionals. - [Presto Functions and Features Added Between 0 189 and 0 205 2018](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/archives/presto-functions-and-features-added-between-0-189-and-0-205-2018.md): Detailed changelog of Presto functions and features added between versions 0.189 and 0.205 in 2018, including lambda expressions, new SQL capabilities, and version-specific improvements. - [Access Frequency Example](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/examples/access-frequency-example.md): SQL query example for analyzing user engagement distribution, showing how to calculate access frequency across different user interaction levels using Hive and Trino. - [Page View Example Queries](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/examples/page-view-example.md): Learn SQL query techniques for page view analysis using Hive and Presto, with practical syntax examples and sample data for tracking website traffic metrics. - [Hive 4 Release Note](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/hive/hive4.md): Learn how to use Hive 4 on Treasure AI Data Workbench, including configuration methods via console, TD Toolbelt, and Python Client. - [Migrating Hive Queries into Trino](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/hive/hive_queries_into_presto.md): Learn how to migrate Hive queries to Trino, covering key syntax differences, type conversion changes, and best practices for seamless SQL query transformation. - [Hive Performance Tuning](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/hive/performance_tuning.md): Learn how to optimize Hive query performance with time-based partitioning, partition detection techniques, and best practices for efficient data querying. - [Hive Quickstart](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/hive/quickstart.md): Learn how to use Treasure AI's Hive service for batch data processing, running SQL-like queries on large datasets with flexible schema options. - [Hive Resource Pools](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/hive/resource_pools.md): Manage Hive workload performance with resource pools, enabling priority job scheduling, ad hoc query support, and efficient resource allocation across projects and use cases. - [Hive Troubleshooting](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/hive/troubleshooting.md): Comprehensive guide to diagnosing and resolving Hive disk space errors in Hadoop clusters, including local storage limits, HDFS quota issues, and troubleshooting strategies. - [Writing Hive Queries](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/hive/writing_hive_queries.md): Learn how to write Hive queries using HiveQL, including SELECT statement syntax, column manipulation, filtering, aggregation, and leveraging built-in functions. - [Automatic Error Notification for Scheduled Jobs](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/scheduled/automatic-error-notification-for-scheduled-jobs.md): Automated error notifications for scheduled jobs in Treasure Data, helping users quickly identify, track, and resolve job failures through email alerts and recovery information. - [Scheduling a Query](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/scheduled/scheduling-a-query.md): Learn how to schedule Treasure AI queries with daily, hourly, or custom cron options, including time zone selection and optional execution delay. - [SQL Examples of Scheduled Queries](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/scheduled/sql-examples-of-scheduled-queries.md): Explore SQL examples for configuring scheduled queries, including daily KPI calculations, time range settings, and query scheduling best practices for data analysis and reporting. - [CREATE TABLE Statement Syntax for Hive](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/sql-reference/create_table.md): Learn how to use the SQL CREATE TABLE statement to define new tables, with syntax, supported data types, table properties, and limitations. - [SQL DDL Differences between Hive and Trino](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/sql-reference/ddl_differences.md): Comprehensive guide comparing SQL DDL commands and syntax differences between Hive and Trino for data definition and table management tasks. - [DELETE Statement Syntax](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/sql-reference/delete_statement.md): Learn how to use the SQL DELETE statement to remove specific rows from tables, with syntax, examples, and important limitations for data management. - [SQL Tips for Hive and Trino](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/sql-reference/sql_tips.md): Learn SQL PIVOT and UNPIVOT techniques for transforming data in Hive and Trino, with practical examples of converting rows to columns and vice versa. - [Treasure AI Hive Function Reference](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/sql-reference/td_hive_function_reference.md): Comprehensive guide to Treasure Data's custom Hive UDFs, including TD_ARRAY_INDEX, TD_AVGIF, and TD_DATE_TRUNC functions for advanced data manipulation and analysis. - [Hivemall Function Reference](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/sql-reference/td_hivemall_reference.md): Comprehensive reference for Apache Hivemall machine learning functions, covering version detection, approximate counting, text processing, and data analytics utilities. - [Time Zones Supported for TD Functions](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/sql-reference/td_supported_timezones.md): Comprehensive list of time zone identifiers supported by Treasure AI's TD functions in Trino and Hive, including standard and daylight saving time zones. - [Supported Time Formats in TD TIME FORMAT UDF](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/sql-reference/td_timeformats.md): Comprehensive reference for time format specifiers in TD_TIME_FORMAT_UDF, covering era, year, month, week, day, hour, minute, second, and timezone details. - [Treasure AI Trino Function Reference](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/sql-reference/td_trino_function_reference.md): Comprehensive Trino function reference for Treasure Data, covering native and custom SQL functions like TD_APPROX_MOST_FREQUENT and TD_CURRENCY_CONV. - [User-defined partitioning (UDP)](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/sql-reference/udp.md): Learn how User-defined partitioning (UDP) improves query performance in Trino by enabling efficient data lookup, aggregation, and joins across large datasets. - [UPDATE Statement Syntax](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/sql-reference/update_statement.md): Learn how to use the SQL UPDATE statement to modify specific rows in a table, with syntax, examples, and important limitations for data management. - [Data Tanks Using Trino](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/trino/data_tanks_using_presto.md): Learn how to query data stored in Treasure AI Data Tanks using Trino through Treasure Console, with benefits and key querying capabilities explained. - [How Trino Works](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/trino/how_trino_works.md): Explore Trino's distributed SQL query architecture, learn how coordinator and worker nodes process complex queries, and understand its high-performance, in-memory query execution model. - [Trino Performance Tuning](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/trino/performance_tuning.md): Learn how to optimize Trino query performance with key strategies like time range filtering, efficient joins, columnar storage techniques, and selective column selection. - [Trino Query FAQs](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/trino/query_faqs.md): Comprehensive guide to Trino query FAQs, covering reliability, network transfer challenges, query processing, and migration tips from Hive to Trino SQL. - [Trino Quickstart](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/trino/quickstart.md): Learn how to quickly set up and access Trino, the distributed SQL query engine, in Treasure Data's Data Workbench with multiple connection methods and setup guidance. - [TD Trino 423 Release Note](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/trino/trino-423.md): Comprehensive release notes for Trino 423, detailing performance enhancements for joins, new UDFs, SQL support, JDBC improvements, and tzdata updates. - [Trino Troubleshooting](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/trino/troubleshooting.md): Learn how to manage Trino query execution time limits, troubleshoot runtime issues, and use query hints to override default settings for optimal performance. - [Writing Trino Queries](https://docs.treasure.ai/products/customer-data-platform/data-workbench/queries/trino/writing_trino_queries.md): Learn how to write effective Trino queries using basic SQL functions like SELECT, aggregate functions, and techniques for data analysis and retrieval. - [Adding a Custom Python Script to Your Workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript/adding-a-custom-python-script-to-your-workflow.md): Run Python scripts from Treasure Workflow using the Python operator (py>). - [Configuring Custom Script IP Addresses](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript/configuring-custom-script-ip-addresses.md): Configure firewall IP addresses for Custom Scripts in Treasure Workflow. - [Custom Scripts Docker Image Versioning](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript/custom-scripts-docker-image-versioning.md): Learn how Treasure AI versions Docker images for Custom Scripts, explaining the versioning scheme of Python version and security fix numbers. - [Custom Scripts Docker Images](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript/custom-scripts-docker-images.md): Supported Docker images and installed library versions for Custom Scripts in Treasure Workflow. - [Feature Selection With Scikit Learn and Hivemall for House Price Prediction](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript/feature-selection-with-scikit-learn-and-hivemall-for-house-price-prediction.md): Learn how to perform feature selection using scikit-learn and Hivemall for house price prediction in a Treasure Workflow, with a step-by-step Python custom script approach. - [How to Use Secrets in Custom Scripts](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript/how-to-use-secrets-in-custom-scripts.md): Learn how to securely manage secrets in custom scripts using Python virtual environments, environment variables, and best practices for protecting sensitive information. - [Introduction to Custom Scripts](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript.md): Run Python scripts in isolated Docker containers within Treasure Workflow for greater flexibility of custom logic. - [Passing Parameters to Custom Scripts Used in Treasure Workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript/passing-parameters-to-custom-scripts-used-in-td-workflow.md): Learn how to pass parameters and credentials to custom scripts in Treasure Workflow using environment variables and workflow secrets securely. - [Custom Scripts Python API](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript/python-api.md): Learn how to create custom Python scripts for workflow automation, including task definition, variable handling, method mapping, and subtask generation. - [Python Custom Scripting Example](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript/python-custom-scripting-example.md): Learn how to run Python custom scripts in Treasure Workflow using Docker containers, with step-by-step guidance for setting up and executing Python workflows. - [Sentiment Analysis With Tensorflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript/sentiment-analysis-with-tensorflow.md): Learn how to perform sentiment analysis using TensorFlow in Treasure Workflow, with step-by-step guidance for building ML models, classifying text, and exporting to Amazon S3. - [Time Series Analysis for Sales Prediction With Prophet Examples](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript/time-series-analysis-for-sales-prediction-with-prophet-examples.md): Learn how to use Facebook Prophet for time series analysis and sales prediction in Treasure Workflow, with practical Python script examples for forecasting business metrics. - [Using Memory_profiler on Custom Scripts](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript/using-memory_profiler-on-custom-scripts.md): Diagnose and optimize memory usage in custom Python scripts with memory_profiler, learn line-by-line memory consumption analysis for Treasure Workflow scripts. - [Workflow py Operator Syntax Reference](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/customscript/workflow-py-operator-syntax-reference.md): Technical reference for Treasure Workflow's Python operator syntax, covering custom script execution, method invocation, and configuration options for running Python tasks. - [bq>: Running Google BigQuery queries](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/bq.md): Run Google BigQuery queries with the bq> operator, specifying SQL files, destination tables, and configuring standard or legacy SQL syntax. - [bq_ddl>: Managing Google BigQuery Datasets and Tables](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/bq_ddl.md): Dynamically manage Google BigQuery datasets and tables with the bq_ddl> operator, including creation, deletion, and clearing of data resources with flexible configuration options. - [bq_extract>: Exporting Data from Google BigQuery](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/bq_extract.md): Learn how to export data from Google BigQuery tables using the bq_extract> operator, with configuration options for destination, compression, and file formats. - [bq_load>: Importing Data into Google BigQuery](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/bq_load.md): Learn how to use the bq_load> operator to import data from Google Cloud Storage into BigQuery tables with configuration examples and secret management. - [call>: Calls another workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/call.md): Learn how to use the call> operator to embed and execute subtask workflows in Digdag, with examples of calling workflow files and managing task dependencies. - [databricks>: Execute SQL statements on Databricks](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/databricks.md): Execute SQL statements on Databricks SQL warehouses with support for query files, parameterized queries, result storage, and authentication methods. - [echo>: Shows a message](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/echo.md): Display a simple message in workflows using the echo> operator, with an example of printing "Hello world!" to demonstrate basic message output. - [fail>: Makes the workflow failed](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/fail.md): Learn how to use the fail> operator to intentionally halt workflows when conditions aren't met, with practical examples and error messaging techniques. - [for_each>: Repeat tasks for values](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/for_each.md): Learn how to use the for_each> operator to dynamically repeat workflow tasks across multiple variable sets with parallel execution options. - [for_range>: Repeat tasks for a range](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/for_range.md): Learn how to use the for_range> operator to repeat tasks across a range of values, with options for step size and slice control in workflow automation. - [gcs_wait>: Wait for a file in Google Cloud Storage](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/gcs_wait.md): Wait for files in Google Cloud Storage with the gcs_wait> operator, specifying bucket and object paths, and retrieving file metadata for workflow automation. - [http>: Making HTTP requests](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/http.md): Learn how to use the http> operator to make HTTP requests, fetch data, send notifications, and handle authentication in Digdag workflows. - [http_call>: Call workflow fetched by HTTP](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/http_call.md): Explains how the http_call> operator fetches and executes remote workflows via HTTP, supporting JSON and YAML content types with flexible configuration options. - [if>: Conditional execution](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/if.md): Learn how to use the if> operator for conditional task execution in workflows, with examples of running subtasks based on true or false conditions. - [Workflow Operators](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators.md): Comprehensive guide to workflow operators in Treasure AI, covering control, TD-specific, network, and database operators for efficient data processing and workflow management. - [loop>: Repeat tasks](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/loop.md): Learn how to use the loop> operator to repeat tasks multiple times in workflows, with control over parallel execution and access to iteration variables. - [mail>: Sending email](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/mail.md): Learn how to send emails using the mail> operator in Digdag workflows, with Gmail SMTP configuration, recipient options, and error handling techniques. - [pg>: PostgreSQL operations](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/pg.md): Run PostgreSQL queries and DDL operations with secure database connections, table creation, and result handling in data workflows. - [py>: Python scripts](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/py.md): Learn how to use the py> operator to run Python scripts in Treasure Workflow, including method specification, secrets management, and configuration options. - [redshift>: Redshift operations](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/redshift.md): Learn how to use the redshift> operator to run SQL queries and DDL operations on Amazon Redshift, with configuration options and workflow examples. - [redshift_load>: Redshift load operations](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/redshift_load.md): Comprehensive guide to using the redshift_load> operator for loading data into Amazon Redshift with extensive configuration options and customizable parameters. - [redshift_unload>: Redshift unload operations](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/redshift_unload.md): Learn how to use the redshift_unload> operator to export Redshift data to external storage with configurable options like S3 destination, manifest, encryption, and formatting. - [s3_copy>: Copy files in Amazon S3](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/s3_copy.md): Copy files within Amazon S3 using the s3_copy> operator, with options for specifying source and destination paths, AWS credentials, and region settings. - [require>: Depends on another workflow](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/require.md): Explains the require> operator in Treasure AI workflows, showing how to depend on and wait for another workflow's completion before proceeding. - [s3_delete>: Delete files in Amazon S3](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/s3_delete.md): Learn how to use the s3_delete> operator to delete files from Amazon S3 buckets, with examples of simple and parameterized file deletion methods. - [s3_move>: Move files in Amazon S3](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/s3_move.md): Learn how to use the s3_move> operator to move files within Amazon S3 by copying to a destination and deleting the source file in your workflow. - [s3_wait>: Wait for a file in Amazon S3](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/s3_wait.md): Learn how to use the s3_wait> operator to pause workflow execution until a specific file appears in an Amazon S3 bucket, with configurable AWS authentication options. - [snowflake>: Execute SQL statements on Snowflake](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/snowflake.md): Learn how to execute SQL statements on Snowflake using the snowflake> operator, with support for file-based queries, parameter bindings, and result storage. - [td>: Treasure AI queries](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/td.md): Run Hive and Trino queries on Treasure Data with the td> operator, including query execution, table creation, result handling, and connection settings. - [td_ddl>: Treasure AI operations](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/td_ddl.md): Learn how to use the td_ddl> operator to create, drop, empty, and rename tables in Treasure AI workflows with database management and configuration options. - [td_for_each>: Repeat using Treasure AI queries](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/td_for_each.md): Automate workflow tasks by iterating through query results using td_for_each operator, with dynamic parameter substitution and optional parallel execution. - [td_load>: Treasure AI bulk loading](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/td_load.md): Treasure AI's td_load> operator guide: Learn how to bulk load data from various sources into databases and tables using configuration files. - [td_result_export>: Treasure AI result exporter](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/td_result_export.md): Export Treasure AI job results to external destinations using the td_result_export> operator with configurable connection and settings options. - [td_run>: Treasure AI saved queries](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/td_run.md): Learn how to use the td_run> operator to execute saved Treasure AI queries in workflows, with options for query ID, session time, and result storage. - [td_table_export>: Treasure AI table export to S3](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/td_table_export.md): Export Treasure AI tables to S3 with specific time range and file format using the td_table_export operator, including AWS and TD API key configuration. - [td_wait>: Waits for data arriving at Treasure AI table](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/td_wait.md): Wait for data arrival in Treasure AI tables using td_wait> operator, with flexible query checks and support for complex conditions and variable embedding. - [td_wait_table>: Waits for data arriving at Treasure AI table](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/td_wait_table.md): Workflow operator to pause task execution until a specified Treasure Data table reaches a target number of records, enabling data-dependent workflow control. - [wait>: Wait for a specific duration](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/operators/wait.md): Wait operator for introducing precise time delays in workflows, supporting blocking and non-blocking modes with configurable polling intervals. - [Attempt Queueing](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/pool/attempt-queueing.md): Learn when a Treasure Workflow attempt is queued versus rejected after a pool's concurrency limit is reached, including the per-pool waiting-attempt limit and the queueing matrix. - [About Pools](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/pool.md): Use pools to assign separate concurrency limits to groups of Treasure Workflow attempts so high-volume workflows do not block other workflows from running. - [Managing Pool Rules](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/pool/managing-pool-rules.md): Write pool rules that decide which Treasure Workflow pool each attempt is assigned to, using project name, workflow name, workflow type, or invocation type. - [Managing Pools](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/pool/managing-pools.md): Create, list, update, and delete Treasure Workflow pools through the Treasure Workflow API, including how the default pool's concurrency limit is adjusted automatically. - [Pool Use Cases](https://docs.treasure.ai/products/customer-data-platform/data-workbench/workflows/pool/use-cases.md): Two worked examples of how to combine Treasure Workflow pools and pool rules to reserve slots for critical workflows and isolate misbehaving workflows. - [About Export Integration](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/export/about-export-integration.md): Discover how Treasure AI's export integrations enable seamless customer data transfer to third-party tools for website tracking, mobile apps, social media, and more. - [Bulk Export Server Side Encryption Support](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/export/bulk-export-server-side-encryption-support.md): Explore server-side encryption options for Bulk Export, including how to use the td command to securely export encrypted data to storage with AES256 support. - [Creating a Destination Integration](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/export/creating-a-destination-integration.md): Learn how to create destination integrations in Treasure AI's Integration Hub, export data to third-party apps, and configure authentication for seamless data transfer. - [Exporting Results Using Export Integration](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/export/exporting-results-using-export-integration.md): Learn how to export Treasure Data query results to external applications using export integrations, with step-by-step guidance on creating connections and running export jobs. - [Using Bulk Export to Amazon S3 Bucket](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/export/using-bulk-export-to-amazon-s3-bucket.md): Learn how to export data from Treasure AI to Amazon S3 buckets, covering prerequisites, limitations, and step-by-step export instructions for seamless data transfer. - [Using Filter Functions for Data Export](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/export/using-filter-functions-for-data-export.md): Learn how to use filter functions in Treasure AI to precisely control and transform data during import and export processes with custom filtering criteria. - [About Data Preview](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/about-data-preview.md): Explore data preview functionality in Treasure AI's Customer Data Platform, understanding its limitations, preview scenarios, and key insights before full data ingestion. - [About Incremental Data Import Using Treasure Workflow](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/about-incremental-data-import-using-td-workflow.md): Learn how to perform incremental data imports with Treasure Workflow, optimize data pipeline efficiency, and control data transfer timing for large datasets. - [Bulk Data Import](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/bulk-data-import.md): Import large datasets into Treasure AI using Embulk, with supported source connectors for AWS S3, Google Sheets, and MySQL. - [Canceling Data Import](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/canceling-data-import.md): Learn how to cancel data import jobs in the Customer Data Platform using two methods: editing the data connector schedule or stopping an active job. - [Creating a New Data Source](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/creating-a-new-data-source.md): Learn how to create and configure data sources in Treasure AI's Integration Hub, including authentication, data fetching, and scheduling for seamless data import. - [Creating a New Source From an Existing Authentication](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/creating-a-new-source-from-an-existing-authentication.md): Learn how to create a new data source using an existing authentication in Treasure Console's Integration Hub with step-by-step guidance for efficient data transfer. - [Data Import Error Troubleshooting](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/data-import-error-troubleshooting.md): Learn how to troubleshoot data import errors by identifying problematic source files in job logs across multiple cloud storage and file transfer platforms. - [Editing Data Settings](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/editing-data-settings.md): Learn how to configure data source settings in Treasure AI, including decoders, parsers, retry attempts, and intervals for seamless data integration. - [Batch Import](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import.md): Import historical or scheduled incremental data into Treasure AI using CSV/TSV upload, integration connectors, Embulk bulk import, or the TD Toolbelt CLI. - [Previewing Your Source Data](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/previewing-your-source-data.md): Learn how to preview source data in Treasure AI's Integration Hub, understand preview limitations, and step through the process of generating a data preview. - [Searching Sources](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/searching-sources.md): Learn how to efficiently search and filter data connection sources in Treasure AI's Integration Hub using Owner, Integration Type, and Authentication methods. - [Skipping Data Preview](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/skipping-data-preview.md): Learn how to bypass data preview in Treasure Console's Integration Hub, streamlining your data source configuration and collection workflow efficiently. - [Using Environment Variables With Bulk Import](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/using-environment-variables-with-bulk-import.md): Learn how to securely use environment variables in Embulk configuration for bulk import, with best practices for hiding sensitive connection details in Treasure AI. - [Working With Data Placement](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/working-with-data-placement.md): Learn how to configure data placement in Treasure AI, including database and table selection, data import modes, and partition key settings. - [Working With Data Preview](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/working-with-data-preview.md): Learn how to use the Data Preview feature to inspect and validate data from source integrations before importing into Treasure AI's Customer Data Platform. - [Data Import Scheduling](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/data-import-scheduling.md): Learn how to schedule and automate data import in Treasure AI's Integration Hub, including configuring recurring data collection and custom cron schedules. - [Working With Source Information](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/working-with-source-information.md): Learn how to define and configure data source information in Treasure AI's Integration Hub, including methods for specifying import locations and source settings. - [Working With Sources](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/working-with-sources.md): Learn how to integrate, authenticate, and manage diverse data sources in Treasure Data's platform using Console, connectors, and multiple transfer methods. - [About Mobile Tracking and Mobile Sdks](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/mobile/about-mobile-tracking-and-mobile-sdks.md): Learn about Treasure AI's mobile SDKs for Android, iOS, Unity, and Unreal, enabling seamless data import and tracking from mobile applications. - [Scheduling Data Collection](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/scheduling-data-collection.md): Learn how to schedule and automate data collection in Treasure Console, configure recurring imports, and manage data source scheduling with step-by-step instructions. - [App Tracking Integration Options](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/mobile/app-tracking-integration-options.md): Explore mobile app tracking integration methods with Treasure AI, including Unreal Engine and Unity SDK options for comprehensive event and activity tracking. - [Cordova Plugin for TD Android and iOS Sdks](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/mobile/cordova-plugin-for-td-android-and-ios-sdks.md): Cordova plugin for integrating Treasure AI's Android and iOS mobile SDKs, enabling event tracking and data collection in Ionic applications. - [Mobile SDK Tutorial for Beginners](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/mobile/mobile-sdk-tutorial-for-beginners.md): Learn how to integrate mobile SDKs for Android and iOS with step-by-step instructions, project setup, configuration, and code examples for beginners. - [Mobile Tracking](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/mobile/mobile-tracking.md): Comprehensive guide to implementing mobile tracking with Treasure Data SDKs for Android and iOS, enabling detailed customer behavior analytics and insights. - [Support Policy for Mobile SDK OS Version Coverage](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/mobile/product-support-policy-for-mobile-sdk-os-version-coverage.md): Detailed guide to Treasure Data Mobile SDK support policy, covering Android and iOS SDK version compatibility, end-of-life timelines, and OS version support for developers. - [Xsub Treasure AI iOS SDK Update for iOS SDK 13 0 or Later](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/mobile/xsub-treasure-data-ios-sdk-update-for-ios-sdk-13-0-or-later.md): Learn how Treasure Data iOS SDK v0.6.0 addresses Apple's MD5 deprecation, provides stronger cryptographic methods, and ensures compatibility with iOS SDK 13.0 and later. - [About JavaScript SDK Version 3.1](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/about-javascript-sdk-version-3-1.md): Comprehensive guide to Treasure AI JavaScript SDK v3.1, covering new ingestion endpoint, security improvements, log parameter changes, and usage instructions. - [About Migrating to TD JavaScript SDK Version 4.2.1](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/about-migrating-to-td-javascript-sdk-version-4-2-1.md): Step-by-step migration guide for TD JavaScript SDK v4.2.1, covering new ingest endpoints, changes in web tracking, user agent modifications, and key migration considerations for developers. - [About the TD JavaScript SDK Version 3.0](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/about-the-td-javascript-sdk-version-3-0.md): Learn how to implement TD JavaScript SDK v3.0 for secure, real-time website user tracking and first-party cookie management across platforms. - [About Treasure AI and Cookie Tracking](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/about-treasure-data-and-cookie-tracking.md): Learn how browser privacy changes impact cookie tracking, and Treasure AI's approach to maintaining personalization while respecting user privacy. - [Adding the TD JavaScript to the Page You Want to Track](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/adding-the-td-javascript-to-the-page-you-want-to-track.md): Learn how to add the Treasure AI JavaScript SDK to your web page for tracking, with step-by-step implementation guidance and version 3 considerations. - [Anonymous Visitor IDs With JavaScript SDK](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/anonymous-visitor-ids-with-javascript-sdk.md): Learn how Treasure AI's JavaScript SDK manages anonymous visitor IDs using first-party and third-party cookie tracking methods for website visitor identification and tracking. - [TD JS SDK APIs](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/api.md): Comprehensive guide to Treasure AI JavaScript SDK APIs, covering configuration, initialization, and core parameters for event tracking and data integration. - [Browsers That Support 3rd Party Cookies and TD JavaScript SDK](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/browsers-that-support-3rd-party-cookies-and-td-javascript-sdk.md): Learn which browsers support third-party cookies for TD JavaScript SDK tracking across multiple domains, including compatibility details for Chrome, Firefox, Edge, and mobile browsers. - [Click Tracking With JavaScript SDK](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/click-tracking-with-javascript-sdk.md): Learn how to implement click tracking with Treasure AI JavaScript SDK, including tracking link clicks and sending event data to pageviews table. - [Treasure AI JavaScript Consent Extension](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/consent-manager.md): Manage user data collection preferences with Treasure Data's JavaScript Consent Extension, enabling granular consent controls and context-specific data usage settings. - [Enabling Cross Domain Tracking With JavaScript SDK](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/enabling-cross-domain-tracking-with-javascript-sdk.md): Learn how to enable cross-domain tracking with Treasure AI JavaScript SDK, including prerequisites, limitations, and implementation steps for web tracking. - [Getting Started With Tracking and the TD JavaScript SDK](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/getting-started-with-tracking-and-the-td-javascript-sdk.md): Learn how to install the TD JavaScript SDK, create a database, and send tracking events with Treasure AI's JavaScript library for web analytics. - [Getting Started With Website Tracking](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/getting-started-with-website-tracking.md): Learn how to implement website tracking with the Treasure Data JavaScript SDK, including setup steps, prerequisites, and key considerations for tracking website activities. - [How to Set Up TD JS SDK in Tealium Iq Tag Management](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/how-to-set-up-td-js-sdk-in-tealium-iq-tag-management.md): Learn how to integrate Treasure Data JavaScript SDK into Tealium IQ tag management with this comprehensive step-by-step setup guide for web analytics and data tracking. - [Identifying Users With Cookies](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/identifying-users-with-cookies.md): Learn how using to-based identification in Customer Data Data Platform, including best practices for tracking practices for personalization and privacy-compliant tracking.: a description (max characters characters) this documentation documentation page page. - [Integrating JavaScript SDK With Adobe Launch](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/integrating-javascript-sdk-with-adobe-launch.md): Learn how to integrate Treasure AI JavaScript SDK with Adobe Launch, manage tags, triggers, and data elements for effective customer data tracking. - [Introduction to Web Tracking](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/introduction-to-web-tracking.md): Learn how to track web customer interactions using Treasure AI's JavaScript SDK, first-party and third-party cookies, web tagging, and tracking methods. - [Known Visitor Ids With JavaScript SDK](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/known-visitor-ids-with-javascript-sdk.md): Learn how to add and track known visitor IDs like email and user ID using Treasure AI's JavaScript SDK with cross-domain tracking and optional encryption. - [Migrating to TD JS SDK 4 0](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/migrating-to-td-js-sdk-4-0.md): Comprehensive guide for migrating to Treasure Data JavaScript SDK 4.0, covering host configuration updates, ingest endpoint changes, and optional user agent parsing techniques. - [Treasure AI JavaScript SDK Quickstart](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/quickstart.md) - [Retargeting Unknown Visitors With Google Display Video 360](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/retargeting-unknown-visitors-with-google-display-video-360.md): Learn how to use Treasure AI's JavaScript SDK to sync visitor cookies between your website and Google Display & Video 360 for effective retargeting. - [Third Party Conversion Tags Collecting With JS SDK](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/third-party-conversion-tags-collecting-with-js-sdk.md): Learn how to collect third-party conversion tags like Meta Click ID using TD JavaScript SDK to enhance marketing campaign tracking and measurement. - [Tracking Server Side First Party Cookies on Your Website](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/tracking-server-side-first-party-cookies-on-your-website.md): Learn how to implement server-side first-party cookies using Treasure AI's JavaScript SDK for user tracking and consent management on your website. - [Treasure AI JavaScript SDK Version 2 5 0 Version Update Summaries](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/treasure-data-javascript-sdk-version-2-5-0-version-update-summaries.md): Learn about Treasure Data JavaScript SDK version 2.5.0 updates, first-party cookie tracking, key changes for web user activity tracking, and implementation guidelines. - [Treasure AI JavaScript SDK Version 3 0 Default Log Parameters](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/treasure-data-javascript-sdk-version-3-0-default-log-parameters.md): Comprehensive guide to default log parameters in Treasure Data JavaScript SDK 3.0, covering client and server-side tracking metrics automatically captured during event logging. - [Treasure AI JavaScript SDK Version 3 Migration](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/treasure-data-javascript-sdk-version-3-migration.md): Step-by-step migration guide for updating Treasure AI JavaScript SDK from version 2 to version 3, including script source changes and code adjustments. - [Using TD JavaScript Consent Extension](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/using-td-javascript-consent-extension.md): Implement granular consent management for data collection using Treasure Data's JavaScript Consent Extension, enabling customizable opt-in/opt-out controls for website visitors. - [Using the JavaScript SDK Build Script](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/using-the-javascript-sdk-build-script.md): Learn how to use the JavaScript SDK build script to configure SDK settings, customize global export, filename, and URL for Treasure AI integration. - [Using the TD JavaScript Consent UI Add on](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/using-the-td-javascript-consent-ui-add-on.md): Learn how to implement the TD JavaScript Consent UI Add-on to create customizable cookie banners and consent management forms for your website. - [Web Crawler Accesses for Google Crawlers](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/web-crawler-accesses-for-google-crawlers.md): Learn how to identify and handle Google web crawler accesses using Treasure AI JavaScript SDK, with user-agent filtering and browser detection techniques. - [Web Tracking for Single Page Application Sites Using Google Tag Manager](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/web-tracking-for-single-page-application-sites-using-google-tag-manager.md): Learn how to implement web tracking for single-page applications using Google Tag Manager and Treasure AI JavaScript SDK, with specific configuration for pageview tracking. - [Web Tracking Integration Options](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/web-tracking-integration-options.md): Explore web tracking integration methods for Treasure AI, including Adobe Launch, Google AMP, Google Tag Manager, and Marketo Forms import options. - [Web Tracking Using the TD JavaScript SDK Tutorial](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/web-tracking-using-the-td-javascript-sdk-tutorial.md): Learn how to implement web tracking with Treasure Data JavaScript SDK, collect website behavior data, and leverage client and global IDs for advanced analytics. - [Web Tracking With JavaScript Using Cookie Consent](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/web-tracking-with-javascript-using-cookie-consent.md): Learn how to implement web tracking with JavaScript using Cookie Consent, ensuring GDPR compliance while maintaining a quality user experience on your website. - [Web Tracking With JavaScript Using Osano Cookie Consent](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/web-tracking-with-javascript-using-osano-cookie-consent.md): Learn how to implement Osano cookie consent for web tracking, ensuring GDPR and CCPA compliance with a simple JavaScript solution for websites. - [Working With the JS SDK](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/working-with-the-js-sdk.md): Comprehensive guide to implementing Treasure Data's JavaScript SDK for website tracking, user data collection, and cross-platform analytics without server-side configuration. - [About Treasure AI Server Side Agent](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/about-treasure-data-s-server-side-agent.md): Learn about Treasure Data's server-side Fluentd agent for continuous log and event collection, replacing td-agent with fluent-package for seamless data streaming. - [Capturing Streaming Log Data](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/capturing-streaming-log-data.md): Learn how to capture and stream log data using fluent-package, the official server-side agent for collecting, processing, and forwarding log streams from servers. - [Configuring Fluentd for High Availability](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/configuring-td-agent-for-high-availability.md): Learn how to configure high-availability Fluentd setups for log forwarding, covering message delivery semantics, network topology, and configuration strategies for reliable log management. - [Confirming Data Upload](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/confirming-data-upload.md): Learn how to confirm data uploads with td-agent, check log imports in Treasure Console, verify data streaming using CLI commands, and troubleshoot Fluentd log imports. - [Installing Fluentd on AWS Linux](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/installing-td-agent-on-aws-linux.md): Step-by-step guide to installing fluent-package on Amazon Linux 2023, including system configuration, service launch, and recommended LTS version setup. - [Installing Fluentd on macOS](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/installing-td-agent-on-macos-x.md): Step-by-step guide to installing Fluentd on macOS using Ruby gems, with configuration instructions for Treasure AI integration and log streaming. - [Installing Fluentd on RHEL and CentOS](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/installing-td-agent-on-rhel-and-centos.md): Step-by-step guide to installing fluent-package on RHEL, CentOS, and Rocky Linux, covering system requirements, installation methods, and systemd service configuration. - [Installing Fluentd on Ubuntu and Debian](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/installing-td-agent-on-ubuntu-and-debian.md): Comprehensive guide to installing fluent-package on Ubuntu and Debian, covering supported Linux versions, installation methods, and shell script commands for Fluentd. - [Installing Treasure Agent](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/installing-treasure-agent.md): Learn how to install Treasure Agent (Fluentd), the open-source data collector for real-time data unification and streaming across servers and containers. - [Log Capture Options](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/log-capture-options.md): Comprehensive guide to log capture options with Treasure Data's td-agent, covering integrations for AWS Linux, Apache, Java, Kafka, Logstash, and installation instructions. - [Monitoring Fluentd](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/monitoring-td-agent.md): Learn how to monitor Fluentd daemon metrics, troubleshoot system performance, and retrieve internal metrics using HTTP, Prometheus, and Datadog integration methods. - [Storing and Collecting Logs With Fluentd](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/storing-and-collecting-logs-with-td-agent.md): Learn how to store and collect logs using Fluentd, including methods for local and remote log management, HTTP protocols, and Treasure AI integration. - [Fluentd Collecting Logs Through an HTTP Protocol](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/td-agent-collecting-logs-through-an-http-protocol.md): Learn how to collect and stream logs to Treasure AI using Fluentd's HTTP protocol, with configuration steps and example data upload methods. - [Fluentd for Storing Logs Locally and Remotely](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/td-agent-for-storing-logs-locally-and-remotely.md): Learn how to use Fluentd's 'copy' function to simultaneously store logs locally on disk or MongoDB and upload data to Treasure AI cloud platform. - [Fluentd Languages Frameworks and Middleware](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/td-agent-languages-frameworks-and-middleware.md): Comprehensive guide to Fluentd integration with programming languages, frameworks, and middleware for data import to Treasure AI platform. - [Fluentd Logs Sent to Treasure AI](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/td-agent-logs-sent-to-treasure-data.md): Learn how to send and store Fluentd logs to Treasure AI, including configuration steps, prerequisites, and log processing techniques for monitoring. - [Fluentd Reference](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/td-agent-reference.md): Comprehensive Fluentd reference guide covering configuration, file locations, system paths, package details, and process management for fluent-package 6.x. - [Fluentd Using Scribe Protocol to Store Logs](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/td-agent-using-scribe-protocol-to-store-logs.md): Learn how to use Fluentd with Scribe protocol for log storage, including configuration, input setup, and message handling with JSON strings. - [Troubleshooting Fluentd](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/troubleshooting-td-agent.md): Troubleshooting guide for Fluentd td-agent, covering common import errors, network issues, data import challenges, and performance optimization strategies for log management. - [Upgrading Fluentd](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/upgrading-td-agent.md): Learn how to upgrade fluent-package on Ubuntu, Debian, RHEL, and CentOS, including version upgrade procedures and important considerations for maintaining Fluentd. - [Setting Up Fluentd](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/td-agent/setting-up-td-agent.md): Learn how to set up Fluentd (fluent-package) for log streaming, configure the config file with your API key, and restart the service for seamless data integration. - [About A/B Testing](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/ab-test/about-a-b-testing.md): Discover how to set up and run A/B tests in Treasure Data's Customer Data Platform, comparing marketing treatments and optimizing campaign performance with control groups. - [Creating an A/B Test](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/ab-test/creating-an-a-b-test.md): Learn how to create A/B tests in journey orchestration, including setup steps, limitations, and best practices for randomly assigning user variants. - [Editing an a B Test](https://docs.treasure.ai/products/customer-data-platform/journey-orchestration/batch/ab-test/editing-an-a-b-test.md): Learn how to edit A/B tests in draft mode, including renaming variants, changing allocation percentages, and managing test configurations. - [AutoML Model Sharing](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/advanced-topics/automl-model-sharing.md): Learn how to share AutoML models between users, set sharing parameters, and maintain data security while enabling collaborative machine learning workflows. - [Incremental Mini Batch Prediction](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/advanced-topics/incremental-mini-batch-prediction.md): Learn how to implement incremental mini-batch prediction for machine learning models, balancing performance and latency in semi-real-time scenarios. - [ML Experiment Tracking and Model Management](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/advanced-topics/ml-experiment-tracking-and-model-management.md): Comprehensive guide to ML experiment tracking, covering workflow creation, model performance recording, and drift detection for machine learning projects. - [Run an Automl Workflow](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/configure-an-automl-solution/run-an-automl-workflow.md): Step-by-step guide to launching and monitoring AutoML workflows in Treasure Console, including workflow selection, run initiation, and run log review. - [Set Up an Automl Solution](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/configure-an-automl-solution/set-up-an-automl-solution.md): Learn how to set up AutoML workflows in Treasure Console, including workflow creation, secret configuration, and notebook parameter setup for machine learning projects. - [View a Notebook Generated by an Automl Workflow](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/configure-an-automl-solution/view-a-notebook-generated-by-an-automl-workflow.md): Learn how to view and access the iPython notebook generated by an AutoML workflow, including step-by-step instructions and insights into data visualizations. - [Cltv Prediction](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/notebook-solutions/cltv-prediction.md): Predict customer lifetime value using Python's Lifetimes library and BTYD model, analyzing transaction frequencies and monetary value to forecast long-term customer revenue potential. - [Clustering](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/notebook-solutions/clustering.md): Explore automated k-means clustering techniques for customer segmentation using machine learning, with flexible cluster identification and optimization methods. - [Exploratory Data Analysis](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/notebook-solutions/exploratory-data-analysis.md): Comprehensive Exploratory Data Analysis notebook using Pandas, Sweetviz, and missingno for advanced data visualization, profiling, and statistical insights. - [Gluon Predict](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/notebook-solutions/gluon-predict.md): Learn how to use Gluon Predict for machine learning model predictions, including output formats for binary and multiclass classification results. - [Gluon Train](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/notebook-solutions/gluon-train.md): Automate machine learning model training with AutoGluon, covering feature engineering, model selection, and ensemble techniques for predictive analytics. - [AutoML Notebook Solutions](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/notebook-solutions.md): Explore AutoML notebook solutions for machine learning tasks like classification, regression, time-series forecasting, and predictive analytics using AutoGluon. - [ML Datasets](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/notebook-solutions/ml-datasets.md): Generate sample ML datasets for machine learning tasks, including AutoGluon and bank marketing datasets with predefined classification targets and workflow configurations. - [Multi Touch Attribution](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/notebook-solutions/multi-touch-attribution.md): Comprehensive guide to multi-touch attribution modeling using machine learning, helping marketers analyze customer journey touchpoints and optimize marketing channel performance. - [Network Analysis](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/notebook-solutions/network-analysis.md): Automated network analysis notebook for visualizing transition matrices using directed graphs and Sankey diagrams, with PageRank-based node weighting and network flow analysis. - [Next Best Action](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/notebook-solutions/next-best-action.md): Learn how to use Q-learning for predicting the optimal next best action for users based on their session states with a machine learning notebook solution. - [RFM Analysis](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/notebook-solutions/rfm-analysis.md): Machine learning guide to RFM analysis for customer segmentation, demonstrating how to cluster customers by recency, frequency, and monetary value using k-means. - [Shap Analysis](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/notebook-solutions/shap-analysis.md): Comprehensive guide to SHAP analysis for interpreting machine learning model predictions, featuring visualizations, workflow examples, and feature importance techniques. - [Time Series Forecasting](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/notebook-solutions/time-series-forecasting.md): Learn how to perform time series forecasting using FLAML with multiple machine learning models like Random Forest, Prophet, ARIMA, and XGBoost. - [AutoML Resource Capacity](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/resourcemanagement/automl-resource-capacity.md): Comprehensive guide to AutoML resource capacity, covering RAM allocations, task concurrency limits, user restrictions, and unit hour calculations across plan tiers. - [Excess Usage of Automl Unit Hours](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/resourcemanagement/excess-usage-of-automl-unit-hours.md): Learn how Treasure AI handles AutoML unit hours overage, including task throttling, account notifications, and resolution strategies for excess usage. - [Memory Usage and Dataset Sizes](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/resourcemanagement/memory-usage-and-dataset-sizes.md): Explore memory usage patterns for Gluon Train notebooks with varying dataset sizes, helping users select appropriate instance sizes for machine learning training. - [Monitor Automl Usage](https://docs.treasure.ai/products/customer-data-platform/machine-learning/automl/resourcemanagement/monitor-automl-usage.md): Monitor AutoML usage limits, resource capacity, and performance tiers for Treasure AI's machine learning framework, including concurrent tasks, memory allocation, and usage tracking. - [Kakao Channel](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/kakao.md): Learn how to integrate Kakao Channel for targeted marketing and messaging in Marketing Cloud Engage Studio, with configuration steps and best practices for Korean market communication. - [One-off Email Campaign](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/bulk-delivery.md): Learn how to launch one-off email campaigns in Engage Studio using two direct methods: segment activation and campaign management for precise audience targeting. - [Email Deliverability & Authentication](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/email-deliverability-authentication.md): Learn how Engage Studio helps you authenticate emails using SPF and DKIM protocols to improve deliverability, prevent spam, and ensure your marketing messages reach inboxes. - [Email Delivery Events Table | Engage Studio](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/email-delivery-events-table.md): Reference for the Engage Studio email delivery events table schema, including output column mapping, td_log_* custom non-PII identifier columns, and account-level PII suppression options. - [Domain & DNS setup](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/email-domain-configuration.md): Configure email domain and DNS settings for Engage Studio, enabling IT teams to set up custom email sending domains with proper authentication and delivery protocols. - [Email Error Events Table | Engage Studio](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/email-error-events-table.md): Reference for the Engage Studio email error events table schema, including runtime and rendering error events and td_log_* custom non-PII identifier columns. - [Adding Preheader Text to Emails](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/email-preheader-text.md): Set a Pre-header text field in Engage Studio to control the inbox preview snippet next to your subject line and improve email open rates. - [Sender setup](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/email-sender-configuration.md): Configure email sender profiles with brand identity settings, unsubscribe options, and deliverability best practices for marketing campaigns in Marketing Cloud Studio. - [Engage Content Creation](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/engage-content-creation.md): Learn to create responsive email campaigns using Engage Studio's Beefree SDK-powered Email Editor, with drag-and-drop design and personalization features. - [View in Browser](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/html-email-hosting.md): Host static email HTML under your Email Domain so that recipients can open a "View in Browser" version of your campaign emails. - [Import HTML Templates into Engage Studio](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/import-html-templates-into-engage-studio.md): Import custom HTML email templates into Engage Studio using the dedicated HTML Editor, enabling marketers to maintain full code control and easily edit pre-approved designs. - [Email Channel](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email.md): Learn how to design, personalize, and send scalable email campaigns in Engage Studio with domain configuration, content creation, and performance tracking. - [One-Click Unsubscribe Management](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/one-click-unsubscribe.md): Learn how Treasure AI's One-Click Unsubscribe feature ensures email compliance, improves deliverability, and provides a seamless opt-out experience for marketing emails. - [Personalization Using Merge Tag and Liquid Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/personalization-using-merge-tag-and-liquid-template.md): Learn how to personalize emails using Merge Tags and Liquid templates in Engage Studio, with step-by-step guidance on dynamic content configuration and implementation. - [Subscription Events Table | Engage Studio](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/subscription-events-table.md): Reference for the Engage Studio subscription events table schema, including unsubscribe event tracking and td_log_* custom non-PII identifier columns. - [UTM Parameters](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/email/utm-tracking-code.md): Track and measure email campaign performance with UTM parameters in Engage Studio, enabling precise traffic attribution and conversion analysis in Google Analytics. - [LINE Channel in Engage Studio](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line.md): Learn how Engage Studio integrates with LINE Official Account to deliver personalized messages, switch Rich Menus, and track engagement. - [Create a One-off LINE Campaign in Engage Studio](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/line-oa-campaigns.md): Learn how to create a LINE Official Account one-off campaign in Engage Studio, configure message content, target audience, delivery schedule, and UTM tracking. - [Event Tracking for LINE Campaigns in Engage Studio](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/line-oa-click-tracking.md): Understand what LINE Webhook events can be collected via Streaming Ingress, why per-user open and click data is unavailable, and how to use LINE OA Insights for aggregate campaign stats. - [LINE Flex Message Template Gallery](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/line-oa-flex-message-gallery.md): Browse reusable LINE Flex Message JSON templates for Engage Studio campaigns. Copy templates for coupons, order receipts, and product recommendations, with Liquid personalization examples. - [LINE Message Types in Engage Studio](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/line-oa-message-types.md): Learn about the LINE message types supported in Engage Studio campaigns, including Text (v2) and Imagemap messages, with field specifications and configuration guidance. - [LINE Campaign Reporting in Engage Studio](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/line-oa-reporting.md): Learn how to analyze LINE campaign delivery and engagement data using LINE OA Insights, Treasure Insights, and AI capabilities in Treasure AI. - [LINE Official Account Setup for Engage Studio](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/line-oa-setup.md): Learn how to configure LINE Official Account authentication, LINE Sender Account, and workspace assignments to enable LINE message delivery in Engage Studio. - [Testing LINE Campaigns in Engage Studio](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/line-oa-testing.md): Learn how to preview, test send, and validate LINE Official Account campaigns in Engage Studio before launching to your full audience. - [Getting LINE User IDs for Engage Studio Campaigns](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/line-oa-user-ids.md): Learn how to collect and store LINE User IDs in parent segment profiles so you can target LINE followers in Engage Studio campaigns. - [LINE Rich Menu Switching](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/line-rich-menu-switching.md): Learn how to dynamically switch LINE Rich Menus for different user segments using Audience Studio segmentation and the LINE Messaging API connector. - [Mobile In-App Messaging Overview](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/mobile-inapp.md): Learn how to set up and use Engage Studio's Mobile In-App Messaging feature with Realtime Personalization 2.0 to deliver personalized modal messages to mobile app users. - [Android Developer Guide](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/mobile-push/developer-guide-android.md): Comprehensive Android developer guide for integrating Treasure AI Mobile Push notifications, covering FCM setup, token management, notification display, and event tracking for mobile apps. - [iOS Developer Guide](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/mobile-push/developer-guide-ios.md): Comprehensive iOS developer guide for integrating Engage Studio Mobile Push notifications, covering APNs token management, rich notifications, and event tracking for mobile apps. - [Mobile Push Campaign](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/mobile-push.md): Learn how to configure and send mobile push notifications to Android and iOS users via Firebase Cloud Messaging, including campaign setup and tracking. - [Mobile Push Setup](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/mobile-push/mobile-push-setup.md): Configure Firebase Cloud Messaging for mobile push notifications in Treasure AI Engage Studio, covering comprehensive setup steps for Android and iOS platforms with device token integration. - [Push Events Table](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/mobile-push/push-events-table.md): Comprehensive guide to Mobile Push notification event tracking, detailing table schema, event types, and best practices for implementing push event data in Engage Studio. - [SMS Channel](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/sms.md): Learn how to set up and run SMS campaigns in Marketing Cloud Engage Studio, including sender provisioning, consent filtering, quiet hours, UTM tracking, and TCPA compliance. - [WhatsApp Channel](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/whatsapp.md): Learn how to set up and use the WhatsApp channel in Marketing Cloud Engage Studio for targeted customer messaging and communication. - [監査ログ](https://docs.treasure.ai/ja/products/control-panel/security/auditlogs.md): Treasure AIの標準およびプレミアム監査ログ機能の概要。アカウントアクセスとデータ使用状況の監視について説明します。 - [プレミアム監査ログ](https://docs.treasure.ai/ja/products/control-panel/security/auditlogs/premium-audit-logs.md): Treasure AIのプレミアム監査ログへのアクセス方法と、カラムの解釈方法について説明します。 - [Premium Audit Logイベント](https://docs.treasure.ai/ja/products/control-panel/security/auditlogs/premium-audit-log-events.md): Premium Audit Logによって記録されるイベントのリファレンス - [標準監査ログ](https://docs.treasure.ai/ja/products/control-panel/security/auditlogs/standard-audit-logs.md): Treasure AIの標準監査ログへのアクセス方法と、標準監査ログイベントの完全なリスト。 - [IP アローリストについて](https://docs.treasure.ai/ja/products/control-panel/security/ip-allowlist/about-ip-allowlist.md): Treasure AIのセキュリティ機能であるIP アローリストの仕組み、2種類のホワイトリスト、アクセス制限の設定方法について解説します。 - [IP アローリストの設定について](https://docs.treasure.ai/ja/products/control-panel/security/ip-allowlist/about-setting-ip-allowlist.md): Treasure AIのセキュリティ機能であるIP アローリストの設定方法と、アカウントおよびユーザーレベルでのアクセス制限について解説します。 - [アカウントレベルの IP アローリスト](https://docs.treasure.ai/ja/products/control-panel/security/ip-allowlist/account-level-ip-allowlist.md): Treasure AIのアカウントレベル IP アローリスト設定方法を解説。セキュリティを強化し、チームメンバーのアクセスを安全に管理する方法を説明します。 - [APIキー IP Allowlist](https://docs.treasure.ai/ja/products/control-panel/security/ip-allowlist/api-key-ip-allowlist.md): Treasure APIを使用することで、お客様はAPIキーに対する追加のIP Allowlistアクセス制御を利用できます。これにより、APIキーのアクセスを信頼できるIP範囲に制限し、アカウントとキーをより強力に保護できます。 - [IP アローリストを定義する](https://docs.treasure.ai/ja/products/control-panel/security/ip-allowlist/define-ip-allowlist.md): Treasure コンソールでアカウントとユーザーの IP アクセスを制限する方法を解説。デフォルトとユーザー別の IP アローリストの設定手順を詳しく説明します。 - [ユーザー IP アローリストの定義](https://docs.treasure.ai/ja/products/control-panel/security/ip-allowlist/defining-a-user-ip-allowlist.md): Treasure Consoleでユーザー IP アローリストを設定し、サービスへのアクセスを安全に制御する方法を解説します。IPアドレスの追加と管理の手順を詳しく説明します。 - [Treasure アカウントのデフォルトIPアローリストの定義](https://docs.treasure.ai/ja/products/control-panel/security/ip-allowlist/defining-the-default-ip-allowlist-for-the-td-account.md): Treasure アカウントのデフォルトIPアローリストを設定する方法を解説。コンソールから安全にIPアドレスを追加・管理し、サービスへのアクセスを制御する手順を説明します。 - [IPアローリストとTOKENIZE_JA](https://docs.treasure.ai/ja/products/control-panel/security/ip-allowlist/ip-allowlist-and-tokenize_ja.md): Treasure AIの静的IPアドレスを使用してAmazon S3のアクセス制限を設定する方法と、TOKENIZE_JA関数の利用について説明します。 - [IPアローリストの例外](https://docs.treasure.ai/ja/products/control-panel/security/ip-allowlist/ip-allowlist-exceptions.md): Treasure AIの IPアローリストにおける例外的な接続方法を解説。SDKやAPIを使用する際の特別な許可設定について詳しく説明します。 - [IPアローリストの権限](https://docs.treasure.ai/ja/products/control-panel/security/ip-allowlist/ip-allowlist-permissions.md): Treasure AIのコントロールパネルにおけるIPアローリストの権限と設定ルールを詳細に解説します。管理者とアカウントオーナーの操作範囲を説明。 - [IPアローリスト](https://docs.treasure.ai/ja/products/control-panel/security/ip-allowlist/ip-allowlist.md): Treasure AIのセキュリティ機能であるIPアローリストについて、アカウントとユーザーレベルでのアクセス制限方法を解説します。 - [About Audience Column Visibility Control](https://docs.treasure.ai/ja/products/control-panel/security/policies/about-audience-column-visibility-control.md): Treasure AIのオーディエンスカラム可視性コントロール機能について説明します。セキュリティとプライバシー要件に応じて、個人識別情報(PII)の表示と使用を柔軟に管理できます。 - [About Database Access Control](https://docs.treasure.ai/ja/products/control-panel/security/policies/about-database-access-control.md): Treasure AIのデータベースアクセス制御機能について、一元化されたポリシー管理と権限設定の仕組みを解説します。セキュアなデータ管理の方法を学べます。 - [About Policy Based Database Permissions](https://docs.treasure.ai/ja/products/control-panel/security/policies/about-policy-based-database-permissions.md): Treasure AIのデータベース権限管理について、ポリシーベースとレガシーの2つのアプローチを詳細に解説し、各アクセスレベルの特徴を説明します。 - [About Policy Based Permissions](https://docs.treasure.ai/ja/products/control-panel/security/policies/about-policy-based-permissions.md): Treasure AIのポリシーベース権限について、アカウント所有者と管理者が製品の各機能に対するアクセス権を設定する方法を解説します。 - [Creating Policies](https://docs.treasure.ai/ja/products/control-panel/security/policies/creating-policies.md): Treasure Consoleでアクセス制御ポリシーを作成する方法を解説。ポリシーの追加、名前設定、権限割り当てのステップを詳しく説明します。 - [Applying Policies](https://docs.treasure.ai/ja/products/control-panel/security/policies/applying-policies.md): Treasure AIコントロールパネルでポリシーをユーザーに適用する方法を詳しく解説。権限設定と管理の手順を段階的に説明します。 - [Database Access Control Matrix](https://docs.treasure.ai/ja/products/control-panel/security/policies/database-access-control-matrix.md): Treasure AIのデータベースアクセス制御マトリックスを詳細に解説。マスターキー、ユーザー権限、データベース操作の許可レベルを網羅的に説明します。 - [Deleting Policies](https://docs.treasure.ai/ja/products/control-panel/security/policies/deleting-policies.md): Treasure Consoleでポリシーを完全に削除する方法、またはポリシーからユーザーを削除する手順を詳しく説明します。 - [How Authentications Permissions Affect Activations in the Audience Studio](https://docs.treasure.ai/ja/products/control-panel/security/policies/how-authentications-permissions-affect-activations-in-the-audience-studio.md): Audience Studioでのアクティベーションに関する認証パーミッションと権限の詳細ガイド。アクセスレベルと制限事項を解説します。 - [How Authentications Permissions Affect Exporting Results](https://docs.treasure.ai/ja/products/control-panel/security/policies/how-authentications-permissions-affect-exporting-results.md): Treasure AIでのAuthentications権限とResult Export権限の関係を詳細に解説し、各パーミッションシナリオでのエクスポート可能な操作を説明します。 - [How Is Audience Studio Visibility Affected by Column Visibility Types](https://docs.treasure.ai/ja/products/control-panel/security/policies/how-is-audience-studio-visibility-affected-by-column-visibility-types.md): Audience Studioのカラム可視性タイプが、アトリビュートとビヘイビアの表示と使用にどのように影響するかを詳しく解説します。セキュリティポリシーと表示設定を理解するための重要な情報です。 - [ポリシーと権限について](https://docs.treasure.ai/ja/products/control-panel/security/policies.md): Treasure AIのポリシーと権限を使用して、データベース、ワークフロー、Audience Studio、認証の権限など、機能やデータへのユーザーアクセスを管理する方法を説明します。 - [PBP Traffic Control Permissions](https://docs.treasure.ai/ja/products/control-panel/security/policies/pbp-traffic-control-permissions.md): Treasure コンソールでPolicy-Based Permissionsを使用してTraffic Controlのアクセス権限を設定する方法を説明します。Audience Studioの権限設定に焦点を当てています。 - [Permission Policy API](https://docs.treasure.ai/ja/products/control-panel/security/policies/permission-policy-api.md): Permission Policy API - [ポリシーベースのアクティベーションテンプレートパーミッション](https://docs.treasure.ai/ja/products/control-panel/security/policies/policy-based-activation-template-permissions.md): アクティベーションテンプレートのパーミッションは、ユーザーがアクティベーションテンプレートで何ができるかを定義します。アクティベーションテンプレートへのアクセスは、選択した親セグメントとフォルダにのみ適用されます。これらのパーミッションはTreasure コンソールで設定します。 - [ポリシーのシナリオ例](https://docs.treasure.ai/ja/products/control-panel/security/policies/policies-example-scenarios.md): さまざまなユースケースに対応したポリシー設定の実例 - [ポリシーベースのAudience Studioパーミッション](https://docs.treasure.ai/ja/products/control-panel/security/policies/policy-based-audience-studio-permissions.md): ポリシーベースのパーミッションを使用すると、セグメントフォルダ、プロファイル、予測スコアリング、Profiles APIトークンへのユーザーアクセスに対するAudience Studioパーミッションを設定できます。 - [ポリシーベースのAuthentications権限](https://docs.treasure.ai/ja/products/control-panel/security/policies/policy-based-authentications-permissions.md): ポリシーベースのAuthentications権限 - [ポリシーベースの Data Workbench 権限](https://docs.treasure.ai/ja/products/control-panel/security/policies/policy-based-data-workbench-permissions.md): ポリシーを使用してワークフロー、親セグメント、エクスポート権限を設定 - [ポリシーベースのカラムレベルアクセス制御権限](https://docs.treasure.ai/ja/products/control-panel/security/policies/policy-based-column-level-access-control-permissions.md): ポリシーベースのカラムレベルアクセス制御権限を作成する際、特定のカラムに対するアクセス制御を定義し、そのポリシーを特定のユーザーに割り当てます。これらの権限を作成するには、ポリシーベースのカラムレベルアクセス制御機能を有効にする必要があります。 - [ポリシーベースのデータベース権限マトリックス](https://docs.treasure.ai/ja/products/control-panel/security/policies/policy-based-database-permissions-matrix.md): Treasure コンソール のポリシーベースのデータベース権限について、各権限タイプがデータベースやテーブルに対してどのアクセスを許可するかを一覧で確認できます。Full Access、Limited Access、Query-only などの違いを比較できます。 - [Policy Based LLM Permissions](https://docs.treasure.ai/ja/products/control-panel/security/policies/policy-based-llm-permissions.md): Treasure AIのControl Panelで、LLMプロジェクトのポリシーベースのアクセス権限を設定する方法を詳しく解説します。権限レベルの構成と管理について説明します。 - [Predictive Scoring とフォルダーベース権限の概要](https://docs.treasure.ai/ja/products/control-panel/security/policies/predictive-scoring-and-folder-based-permission-overview-1.md): フォルダーベースの権限は、権限タイプに基づいてフォルダーへのアクセスを許可します - [Treasure コンソール での認証権限の設定](https://docs.treasure.ai/ja/products/control-panel/security/policies/setting-authentications-permissions-in-td-console.md): 管理者は Integration Hub の権限セクションで認証の権限を設定できます。権限は、グローバルレベル（Global Authentication の下）ですべての認証に対して設定するか、選択した認証（Limited Authentication の下）に対して設定できます。 - [API を通じた認証パーミッションの設定](https://docs.treasure.ai/ja/products/control-panel/security/policies/setting-authentications-permissions-through-the-api.md): API を通じて Treasure AI の認証パーミッションを設定する方法と、ユーザーアクセス制御のポリシーについて詳しく解説します。 - [Setting Audience Column Visibility](https://docs.treasure.ai/ja/products/control-panel/security/policies/setting-audience-column-visibility.md): Audience Studioでのカラム可視性ポリシーの設定方法を解説。Parent Segmentの属性と行動の表示権限を制御し、セキュリティを強化する手順を詳しく説明します。 - [データベース認証権限の設定](https://docs.treasure.ai/ja/products/control-panel/security/policies/setting-database-authentications-permissions.md): Treasure AIコンソールでデータベース認証権限を設定する方法を説明します。ユーザーアクセスレベルの管理と、インポート、クエリ、フルアクセス権限の設定方法を解説。 - [Setting Policy Based Audience Studio Permissions Using Treasure コンソール](https://docs.treasure.ai/ja/products/control-panel/security/policies/setting-policy-based-audience-studio-permissions-using-td-console.md): Treasure コンソールでAudience Studioの詳細な権限設定方法を解説。セグメントフォルダー、プロファイル、予測スコアリングなどのアクセス権限を柔軟に管理できます。 - [Setting Policy Based Database Permissions in Treasure コンソール](https://docs.treasure.ai/ja/products/control-panel/security/policies/setting-policy-based-database-permissions-in-td-console.md): Treasure コンソールでのポリシーベースのデータベース権限設定方法を解説。フルアクセスと制限付きアクセスの構成、データベース管理の詳細な手順を説明します。 - [APIを使用したポリシーベースのデータベース権限の設定](https://docs.treasure.ai/ja/products/control-panel/security/policies/setting-policy-based-database-permissions-using-the-api.md): APIを使用してユーザーに特定のデータベースアクセス権限を付与 - [Policy Based Journey Permissions for Batch Journeys](https://docs.treasure.ai/ja/products/control-panel/security/policies/policy-based-journey-permissions-for-batch-journeys.md): Audience Studioのbatch journeyに対するポリシーベースのアクセス権限を設定し、マーケターの操作を制御する方法を解説します。権限レベルと管理者向けの設定手順を詳しく説明します。 - [Setting Workflow and Audience Studio LLM Permissions](https://docs.treasure.ai/ja/products/control-panel/security/policies/setting-workflow-and-audience-studio-llm-permissions.md): Treasure AIのWorkflowとAudience Studioの権限設定方法を解説。ユーザーレベルでの権限割り当て、表示・実行・編集の詳細な設定方法を紹介します。 - [SSOユーザーが削除された場合に必要なアクション](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/action-required-when-sso-users-are-removed.md): Treasure AI の IdP アプリケーションからユーザーが削除された場合、アカウントオーナーまたは管理者は Treasure コンソール からもそのユーザーを削除する必要があります。 - [アカウントパスワードポリシー設定について](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/about-account-password-policy-settings.md): アカウントオーナーまたは管理者として、Treasure AI ユーザーのパスワード基準を定義できます。 - [Verifying Successful Migration to Policy Based Database Permissions](https://docs.treasure.ai/ja/products/control-panel/security/policies/verifying-successful-migration-to-policy-based-database-permissions.md): Policy-based Database Permissionsへの移行を検証する方法を解説。管理者が自身と他のユーザーのデータベース権限を確認する手順を詳しく説明します。 - [Microsoft Entra ID SSO の設定値](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/configuration-values-for-microsoft-entra-id-sso.md): Microsoft Entra ID（旧 Azure AD）は、Treasure コンソール のコントロールパネルの **Sign-in Settings** で設定します。 - [Okta SSO の設定値](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/configuration-values-for-okta-sso.md): Treasure コンソール で Okta SSO の値を設定できます。 SSO を実装すると、現在 Google SSO を使用して Treasure コンソール にサインインしているアカウントユーザーは無効になります。 - [Treasure コンソール での SSO 設定](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/configuring-sso-in-td-console.md): Treasure アカウントオーナーまたは管理者として、SSO 設定を構成し、ユーザーに SSO アクセスを割り当てます。 - [Microsoft Entra ID SAML 2.0 の SSO 設定](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/configuring-microsoft-entra-id-saml-2-0-for-sso.md): Identity Federation のセットアップを完了するには、Microsoft Entra ID（旧 Azure AD）で設定を行う必要があります。 - [PingFederate SSO の設定値](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/configuring-values-for-pingfederate-for-sso.md): Treasure コンソール の Identity Federation で PingFederate の値を設定できます。 - [PingOne for Enterprise SSO の設定値](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/configuring-values-for-pingone-for-enterprise-sso.md): Treasure コンソール の Identity Federation で PingOne for Enterprise の値を設定できます。 - [サインイン設定の定義](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/define-sign-in-settings.md): サインイン設定を使用して、Treasure コンソール へのユーザーアクセス方法を制御できます。 - [Okta IdP 環境の設定](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/configuring-your-okta-idp-environment.md): IdP 環境で、Treasure AI を認可されたアプリケーションのリストに追加する必要があります。 - [SSO のセッションタイムアウト設定](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/setting-session-timeout-for-sso.md): Treasure AI の SSO 機能を使用する場合、Treasure AI Web アプリケーションのセッションタイムアウトを設定することをお勧めします。 - [1人のユーザーのセッションタイムアウト設定](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/setting-up-session-timeouts-for-one-user.md): SSO のセッションタイムアウトは、Identity Provider のツールを使用して設定することをお勧めします。 - [Identity Federation ユーザーとしてのサインイン（レガシー）](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/signing-in-as-a-user-of-identity-federation-legacy.md): 複数のアカウントでシングルサインイン方式を使用する権限を持つユーザーとして、アカウントオーナーまたは管理者から提供されたリンクを通じてサインインページにアクセスします。 - [SSO ユーザーとしてのサインイン](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/signing-in-as-an-sso-user.md): 複数のアカウントでシングルサインイン方式を使用する権限を持つユーザーとして、アカウントオーナーまたは管理者から提供されたリンクを通じてサインインページにアクセスします。 - [シングルサインオン](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/single-sign-on.md): SSO機能をIDプロバイダーと併用することで、Treasure アカウントのユーザーが単一のIDで複数のTreasure アカウントにログインできるようになります。 - [最大ログイン試行回数とセッションタイムアウトの指定](https://docs.treasure.ai/ja/products/control-panel/security/sign-in-settings/specifying-maximum-login-attempts-and-session-timeout.md): 管理者は、ユーザーがログインを試行できる最大回数と、ログイン中のユーザーがセッションタイムアウトせずにログイン状態を維持できる時間を指定できます。 - [カラムレベルのアクセス制御について](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/about-column-level-access-control.md): データベースアクセスの管理における課題の1つは、同じデータベース内のデータにアクセスするデータ型とユーザーの複雑さです。 - [タグについて](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/about-tags.md): Treasure AIのタグを使用すると、プライベートデータや機密データへのアクセスに関するセキュリティを強化できます。 - [REST APIを使用したタグの付与と検索](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/attaching-and-searching-for-tags-using-the-rest-api.md): 以下のリクエストとレスポンスの例では、sensitiveフィールドはカラムへのタグ付けのUIでサポートされなくなっていることに注意してください。 - [データ分類用 Annotated Schema API](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/annotated-schema-apis-for-data-classification.md): Annotated Schema API を使用して、データ分類用のタグでカラムに注釈を付けることができます。 - [カラムへのタグの添付](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/attaching-tags-to-columns.md): Administratorがタグを作成した後、データベース権限に基づいてカラムにタグを添付できます。 - [プロジェクトとワークフローへのタグの付与](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/attaching-tags-to-projects-and-workflows.md): Administratorがリソースタグを作成した後、プロジェクトと関連するユーザー定義のワークフローにタグを付与できます。 - [REST APIを使用したタグの作成、編集、削除](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/creating-editing-and-deleting-tags-using-the-rest-api.md): TD Administratorとして、タグを作成し、カラムにタグを添付し、カラムアクセスを強制するポリシーを作成できます。 - [タグの作成、編集、削除](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/creating-editing-and-deleting-tags.md): Administratorのみがタグを作成、編集、削除できます。デフォルトのシステムタグは編集できません。データベース権限は、Administratorがタグを管理する能力に影響します。 - [カラムレベルアクセス制御の実装](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/implementing-column-level-access-control.md): カラムレベルアクセス制御の実装には、タグの使用を主な焦点として、複数のTreasure AI機能を使用します。 - [タグ情報の確認](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/reviewing-tag-information.md): このリファレンス情報を使用して、タグ情報をすばやく確認できます。 - [タグを使用したデータベースとテーブルの検索とフィルタリング](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/searching-and-filtering-for-databases-and-tables-with-tags.md): タグを使用してデータベースとテーブルを検索およびフィルタリングする方法を知っておくと、必要な情報を簡単かつ迅速に見つけることができます。 - [REST APIを使用したタグベースのアクセス制御](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/tag-based-access-control-using-the-rest-api.md): Permission Policy APIを使用すると、特定のポリシータグを使用してカラムレベルのアクセス制御を作成し、Treasure AIデータベース内のカラムのアクセシビリティを制限または許可できます。 - [カラムタグのアクセス制御について](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/understanding-access-control-for-column-tags.md): マトリックスを確認して、データベースのポリシーベース権限に基づいてユーザーができることを理解してください。マトリックスの後に、理解を深めるためのいくつかの例を示します。 - [タグのアクセス制御について](https://docs.treasure.ai/ja/products/control-panel/security/tag-management/understanding-access-control-for-tags.md): データタグ付けのアクセス制御は、ユーザーのデータベース権限に基づいています。Treasure AI には2種類のユーザーがいます：Restricted User と TD Administrator です。 - [パスワードポリシーの後方互換性](https://docs.treasure.ai/ja/products/control-panel/security/users/backward-compatibility-of-password-policies.md): 新しいアカウントには、指定したパスワードポリシーがデフォルトで適用されます。 - [新規ユーザーの追加](https://docs.treasure.ai/ja/products/control-panel/security/users/adding-new-users.md): Treasure AI では、リージョンごとに一意のメールアドレスが1つ許可されています。会社で複数のアカウントが必要な場合（例：本番環境と開発環境用）、またはシステムインテグレーターとして複数のアカウントを管理する必要がある場合は、「複数ユーザーの追加」のガイドラインに従ってください。 - [ユーザータイプの変更](https://docs.treasure.ai/ja/products/control-panel/security/users/changing-user-types.md): 既存のユーザータイプを変更するには、アカウントオーナーまたは管理者である必要があります。 - [Delegated Groupの作成](https://docs.treasure.ai/ja/products/control-panel/security/users/creating-delegated-groups.md): TD管理者はDelegated Groupを作成し、グローバルプラットフォーム内でデータを管理する地域チームを設定できます。 - [ユーザー単位での AI Studio アクセス制御](https://docs.treasure.ai/ja/products/control-panel/security/users/controlling-ai-studio-access.md): Treasure AI REST API を使用して、アカウント内の各ユーザーが Treasure AI Studio にアクセスできるかどうかをユーザー単位で制御します。アカウント管理者の API キーで、ユーザーごとにアクセスを付与または削除します。 - [Delegated Groups](https://docs.treasure.ai/ja/products/control-panel/security/users/delegated-groups.md): Treasure AI の Delegated Groups を使用すると、企業はユーザーを管理しやすいグループに整理し、そのリージョンに限定されたユーザーとポリシーを監督するリージョナル管理者（Delegated Admin）を割り当てることができます。 - [削除されたユーザーと既存リソースへの影響](https://docs.treasure.ai/ja/products/control-panel/security/users/deleted-users-and-the-impact-on-existing-resources.md): 削除されたユーザーと既存リソースへの影響 - [ユーザーの削除](https://docs.treasure.ai/ja/products/control-panel/security/users/deleting-users.md): ユーザーを作成すると、Treasure AI プラットフォームは自動的に2つの API キーを作成します：Master キーと Write-only API キーです。ユーザーは追加の API キーを作成できます。 - [ユーザー管理](https://docs.treasure.ai/ja/products/control-panel/security/users.md): Treasure AIでのユーザー管理について学びます。ユーザーの作成、ユーザータイプの変更、パスワードポリシーの設定、Delegated Groupsによるユーザーの整理などを含みます。 - [Treasure アカウントのユーザータイプ](https://docs.treasure.ai/ja/products/control-panel/security/users/types-of-users-in-a-treasure-data-account.md): Treasure アカウントのユーザータイプ - [Delegated Groupの管理](https://docs.treasure.ai/ja/products/control-panel/security/users/managing-delegated-groups.md): Delegated Adminは特定の地域とそれに関連するポリシーおよびユーザーを監督します。Delegated Adminはグループメンバーシップを表示し、メンバーがアクセスできるポリシーを割り当てることができます。 - [SSOユーザーのサインインモードの管理](https://docs.treasure.ai/ja/products/control-panel/security/users/managing-the-sign-in-mode-of-an-sso-user.md): アカウントオーナーまたは管理者として、ユーザーのサインイン方法を変更できます。 - [User Promptの作成](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/ai-agent/creating-a-user-prompt.md): Treasure AI AI Agent Foundryで、User Promptの作成方法を詳しく解説。エージェントのユーザー入力定義と設定手順を日本語で説明します。 - [Agentの作成](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/ai-agent/creating-an-agent.md): AI Agent Foundryでエージェントを作成する手順を解説。システムプロンプト、ツール、出力の設定方法を詳しく説明します。 - [エージェントシステムプロンプトのベストプラクティス](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/ai-agent/system-prompt-best-practices.md): Treasure AI AI Agent Foundryで、AIエージェントのシステムプロンプト設計における重要なベストプラクティスと構造的アプローチを解説します。 - [AIプロジェクトの削除](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/ai-project/deleting-an-ai-project.md): Treasure AI AI Agent Foundryでのプロジェクト削除手順と注意点を解説。権限と削除プロセスの詳細を確認できます。 - [AIプロジェクトの作成](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/ai-project/creating-an-ai-project.md): Treasure AIのAI Agent Foundryで、ナレッジベースとエージェントを含むAIプロジェクトを作成する方法を解説します。管理対象と自己定義の2つのプロジェクトタイプを説明します。 - [イメージジェネレーターの変更](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/image-generator/changing-an-image-generator.md): AI Agent Foundryでイメージジェネレーターの設定を更新、編集、削除する方法を解説します。インターフェース管理の手順を詳しく説明します。 - [インテグレーションの変更](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/integration/changing-an-integration.md): AI Agent Foundryでインテグレーションを更新・削除する方法を解説。プロジェクト内での統合設定の編集、ユーザープロンプトの変更、統合の削除手順を詳しく説明します。 - [イメージジェネレーター](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/image-generator/creating-an-image-generator.md): AI Agent Foundryで画像ジェネレーターを作成し、エージェントのツールとして設定する手順を詳しく解説します。Nova Canvasモデルを使用した画像生成方法を紹介。 - [インテグレーションの作成](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/integration/creating-an-integration.md): AI Agent FoundryでインテグレーションタイプとParent Segmentを設定し、エージェントをAudience Studioに統合する方法を解説します。 - [Webhook統合の使用](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/integration/using-a-webhook-integration.md): AI Agent FoundryのWebhook統合を使用して、エージェントを簡単に呼び出し、AIプロンプトを送信する方法を説明します。 - [インターフェースの変更](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/interface/changing-an-interface.md): AI Agent Foundryでインターフェースを更新、編集、削除する方法を詳しく解説。プロジェクト内のインターフェース管理の手順を紹介します。 - [インターフェースの作成](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/interface/creating-an-interface.md): AI Agent Foundryでインターフェースを作成する手順を解説。フォームタイプのインターフェース設定方法、エージェント名の指定、プロンプトテンプレートの構成を詳しく説明します。 - [ナレッジベースの変更](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/knowledgebase/changing-a-knowledge-base.md): AI Agent Foundryでナレッジベースの名前、データベース、テーブル定義を変更および削除する方法を詳しく解説します。 - [ナレッジベースの作成](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/knowledgebase/creating-a-knowledge-base.md): AI Agent Foundryでナレッジベースを作成する方法を解説。データベースとテキストの2種類のナレッジベースの設定方法と、フォーマットタイプの選択について詳しく説明します。 - [ナレッジベースのクエリ](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/knowledgebase/querying-a-knowledge-base.md): ナレッジベースのクエリ方法について説明します。列リスト、スキーマ検索、データ直接クエリのシミュレーション例を含みます。 - [Deep Researcher Agent](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/foundry-workspace/deep-researcher-agent.md): Audience Studio の Deep Researcher Agent は、AIを活用した自動リサーチツールで、複数のサブエージェントを使用して包括的な調査結果を迅速に提供します。 - [Foundry Workspace概要](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/foundry-workspace.md): Treasure AI Foundry Workspaceの概要。フォームタイプのAIエージェントの実行環境、対話型とスケジュール実行をサポート。権限設定と利用方法を解説。 - [Foundry Workspaceの使用](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/foundry-workspace/using-foundry-workspace.md): Treasure AI AI Agent Foundryのワークスペースで、agentの使用方法、フォーム入力、スケジュール設定について詳しく解説します。 - [アカウント階層アクティベーションの作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/account-hierarchy/creating-an-account-hierarchy-activation.md): Audience Studioでアカウント階層アクティベーションを作成する方法を解説。グループ属性の設定とバッチセグメントのアクティベーション手順を詳しく説明します。 - [Account Hierarchy](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/account-hierarchy/account-hierarchy.md): アカウントの配下にプロフィールを整理するためのメンテナンスモード機能である、Treasure AI Audience Studio のアカウント階層について説明します。 - [適格プロファイルアカウント情報の表示](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/account-hierarchy/viewing-qualifying-profile-account-information.md): Audience Studioでグループ階層を有効にしたセグメントの適格プロファイルとアカウント情報を表示する方法を解説します。セグメントルールの評価と対象オーディエンスの検証に役立つ手順を紹介。 - [アクティベーションアクションのデータエクスポート](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/activation-actions-data-export.md): Treasure AIのアクティベーションアクションにおけるデータエクスポートの新しいプロセスと、カスタムワークフローを通じた外部アプリケーションへのデータ転送方法を解説します。 - [アクティベーションアクション](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/activation-actions.md): アクティベーションアクションを使用して、アクティベーション中にカスタムワークフローを実行し、データ変換、コンプライアンスチェック、差分アクティベーションを実現する方法について説明します。 - [アクティベーションログの概要](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/activation-log-overview.md): Treasure AIのアクティベーションログ機能について、プライバシーコンプライアンスを強化する追跡と管理の詳細を解説します。 - [アクティベーションアクションパラメータ](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/activation-actions-parameters.md): Treasure AI Audience Studioのアクティベーションアクションパラメータについて、カスタムワークフローで利用可能な詳細なパラメータ情報を解説します。 - [アクティベーションスケジュールの例](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/activation-schedule-examples.md): Audience Studioでのアクティベーションスケジュールの多様な設定例を解説。1回限り、定期的、特定の日時など、柔軟なスケジュール管理の方法を紹介します。 - [アクティベーションテンプレートの概要](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/activation-template-overview.md): Treasure AIのアクティベーションテンプレートの仕組みと、データエンジニアとマーケティング担当者のためのメリットを解説します。テンプレートの種類、制限、権限要件を詳しく説明。 - [アクティベーション概要ページ](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/activations-overview-page.md): Audience Studioのアクティベーション概要ページで、バッチセグメントのアクティベーション管理と状態を確認できる機能を説明します。 - [アクティベーション概要](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/activations-overview.md): Treasure AI Audience Studioでのデータアクティベーションの仕組みを解説。エクスポートターゲット、データカスタマイズ、スケジュール設定など、アクティベーションの基本機能を詳しく説明します。 - [Behavior Activationの概要](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/behavior-activation-overview.md): Audience Studioのパーソナライゼーション機能であるBehavior Activationの概要。ビヘイビアデータを活用し、マーケティングキャンペーンの効果を高める方法を解説します。 - [JourneysにおけるBehavior Activation](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/behavior-activation-in-journeys.md): Journeysでのビヘイビアデータのアクティベーション方法を解説。パーソナライゼーションやキャンペーン最適化に役立つ機能と設定方法を紹介します。 - [Behavior ActivationのANY演算子拡張とロジック更新](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/behavior-activations-any-operator-enhancements-and-logic-updates.md): Behavior ActivationのANY演算子とロジック更新について、データエクスポートの新しい機能と拡張を詳しく解説します。セグメントルールの柔軟性を向上。 - [アクティベーションテンプレートの変更](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/changing-an-activation-template.md): Audience Studioでアクティベーションテンプレートを編集、公開、削除する方法を解説。データエンジニア向けの詳細なガイドで、テンプレート変更の影響も説明。 - [アクティベーションアクションの設定](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/configure-activation-actions.md): Audience Studioでアクティベーションアクションを設定する方法を説明します。カスタムワークフローの作成と割り当て、権限設定、パラメータ構成の手順を解説します。 - [ビヘイビアアクティベーションの設定](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/configuring-behavior-activation.md): Audience Studioでビヘイビアアクティベーションを設定する方法を解説。セグメントの有効化、属性設定、出力例を詳しく説明します。 - [Incremental Activationの設定](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/configure-incremental-activation.md): Audience Studioでセグメントのための差分変更を処理するIncremental Activationの設定方法を詳しく解説します。ベータ版機能の実装手順を段階的に説明します。 - [アクティベーションのコピー](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/copy-an-activation.md): Audience Studioで既存のアクティベーションをコピーし、新しいセグメントに簡単に適用する方法を解説。テンプレート作成と権限設定のポイントを説明します。 - [アクティベーションの作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/create-an-activation.md): Audience Studioでセグメントデータをエクスポートするアクティベーションの作成方法を解説。ステップバイステップのガイドで簡単にデータ連携を実現。 - [String Builderを使用したエクスポート用の新しい文字列の作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/create-new-strings-for-export-using-string-builder.md): Audience Studioで、String Builderを使用してエクスポート用の追加文字列を作成する方法を詳しく解説します。セグメントデータのカスタマイズと外部ソースへのエクスポート方法を学べます。 - [アクティベーションテンプレートの作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/creating-an-activation-template.md): Audience Studioでアクティベーションテンプレートを作成する方法を解説。データエンジニア向けの詳細な手順と注意点を説明します。 - [アクティベーション出力のカスタマイズ](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/customize-activation-output.md): Audience Studioでアクティベーション出力をカスタマイズする方法を解説。カラムマッピングやストリングビルダーを使用して、データエクスポートをカスタマイズする手順を説明します。 - [アクティベーションを削除する](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/delete-an-activation.md): Audience Studioでアクティベーションを安全に削除する手順を詳しく解説します。セグメントとデータ連携の管理方法を紹介。 - [テンプレート削除後のアクティベーションの編集](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/editing-an-activation-after-deleting-a-template.md): テンプレート削除後のAudience Studioアクティベーションの編集方法と、無効化されたアクティベーションの対処手順を解説 - [アクティベーション詳細の入力](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/enter-activation-details.md): Audience Studioでアクティベーション詳細を入力する3つの方法を解説。既存のアクティベーション、テンプレート、手動入力の選択方法と注意点を説明します。 - [Incremental Activationマッピング](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/incremental-activation-mappings.md): Audience Studioのインクリメンタルアクティベーションマッピングの仕組みを解説。差分レコードの処理方法、マッピング構造、ステータス別のアクション設定を詳しく説明します。 - [Activation Actionsを使用したIncremental Activation - Beta](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/incremental-activation-overview.md): Audience Studioのベータ版機能であるIncremental Activationについて、セグメントデータの差分のみをエクスポートし、コスト削減とパフォーマンス最適化を実現する方法を解説します。 - [Incremental Activationパラメータ](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/incremental-activation-parameters.md): Incremental Activationはベータリリースです。詳細については、カスタマーサクセス担当者にお問い合わせください - [Incremental Activationスタンドアロンワークフロー](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/incremental-activation-standalone-workflow.md): Audience Studioを使わずに、Incremental Activationのスタンドアロンワークフローで差分データをエクスポートする方法を解説します。 - [ネステッドワークフローの概要](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/nester-workflow-overview.md): Audience Studioのネステッドワークフロー機能について、アクティベーション後のワークフロートリガーと処理の仕組みを解説します。シーケンシャルアクティベーションの詳細も説明。 - [Incremental Activation Workflowテンプレート](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/incremental-activation-workflow-templates.md): Audience Studioのインクリメンタルアクティベーションテンプレートを紹介。様々な送信先向けの設定例と、新規プロファイル追加のワークフローを解説します。 - [アクティベーションのスケジュール設定](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/schedule-an-activation.md): Treasure AI Audience Studioでアクティベーションのスケジュール設定方法を解説。柔軟な繰り返し設定、タイムゾーン選択、スケジュール管理の詳細を紹介。 - [Incremental Activationのトラブルシューティング](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/troubleshooting-incremental-activation.md): Incremental Activationのトラブルシューティングガイド。一般的な問題と解決策を提供し、ワークフローの正確な差分エクスポートを支援します。 - [アクティベーションテンプレートの表示と使用](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/activation/viewing-and-using-activation-templates.md): Audience Studioでアクティベーションテンプレートを表示、使用する方法を解説。マーケティングアプリへのデータ送信を効率的に設定する手順を紹介します。 - [Audience Agent のチャートタイプ](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/audience-agent/audience-agent-chart-types.md): Audience Agentの散布図、棒グラフ、折れ線グラフなど、データ可視化のための主要なチャートタイプを詳細に解説する技術ドキュメント。 - [Audience Agent 概要](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/audience-agent/audience-agent-overview.md): Treasure AIのAudience Agentで、自然言語を使用して複雑なセグメントを簡単に分解し、マーケティングキャンペーンを最適化する方法を解説します。 - [Audience Agentのチャート情報の確認](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/audience-agent/reviewing-audience-agent-charting-information.md): Audience Agentのチャート情報を確認し、マーケティングに活用するための詳細なインサイトと分析方法を解説します。 - [オーディエンスエージェントのチャット履歴の確認](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/audience-agent/reviewing-marketing-copilot-chat-history.md): Audience Studioのオーディエンスエージェントでチャット履歴を確認する方法を解説。時間別に分類された履歴の表示方法と、個人のチャットセッションを追跡する手順を説明します。 - [Audience Agentを使用してセグメントを作成する](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/audience-agent/using-audience-agent-to-create-a-segment.md): Audience Agentを使用して、データから効果的なセグメントを作成する方法を解説します。プレミアム機能の詳細な使い方を紹介します。 - [ハウスホールディングアクティベーションの作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/householding/creating-a-householding-activation.md): Audience Studioでハウスホールディングアクティベーションを作成し、グループ属性をダウンストリームシステムに送信する方法を説明します。 - [ハウスホールディング概要](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/householding/householding-overview.md): Treasure AIのハウスホールディング機能について、世帯単位でのオーディエンス分析と活用方法を解説する概要ページです。製品統合や制限事項も詳しく説明しています。 - [適格プロファイルのハウスホールディング情報の表示](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/householding/viewing-qualifying-profile-householding-information.md): Audience Studioでハウスホールディングの適格プロファイル情報を表示する方法を解説。セグメントルールの編集を通じて、世帯レベルでのプロファイル数を確認できます。 - [予測モデルの作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/predictivemodel/create-a-predictive-model-1.md): Audience Studioで予測モデルを作成する手順を解説。機械学習を活用し、セグメントのターゲティングを最適化する方法を詳しく説明します。 - [予測スコアリングの概要](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/predictivemodel/predictive-scoring-overview.md): 機械学習を活用した予測スコアリングで、マーケターが専門知識なしに顧客行動を予測し、効果的なセグメント分析を実現します。 - [Feature Guessの概要](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/predictivemodel/feature-guess-overview-1.md): Audience Studioのデータ分析を効率化するFeature Guess機能の仕組みと、予測スコアリングに役立つアトリビュート推奨の詳細を解説 - [プレディクティブモデルの再トレーニング](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/predictivemodel/retrain-a-predictive-model-1.md): Audience Studioでプレディクティブモデルを再トレーニングする手順を解説。ペアレントセグメントの更新後に、モデルを最新の状態に保つ方法を説明します。 - [プレディクティブモデルのパフォーマンスの確認](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/predictivemodel/review-predictive-model-performance-1.md): Audience Studioでプレディクティブモデルのパフォーマンスを評価する方法を解説。予測精度の確認、サマリー指標の分析、モデル検証の手順を詳しく説明します。 - [プレディクティブスコア、アトリビュート、およびビヘイビアの確認](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/predictivemodel/review-predictive-scores-attributes-and-behaviors-1.md): Audience Studioでプレディクティブモデルのスコア、アトリビュート、ビヘイビアを分析。セグメントの予測精度を迅速に評価し、マーケティング戦略を最適化。 - [Profiles API トークンの変更](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/profiles/change-a-profiles-api-token.md): Audience Studioで、Profiles API トークンの編集、移動、複製、削除の方法を詳しく解説します。セキュアなトークン管理の手順を紹介。 - [Profiles API トークンの作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/profiles/create-a-profiles-api-token.md): Audience Studio で Profiles API トークンを作成する方法について説明します。トークンの命名、設定の構成、特定の権限を持つセグメントの追加などが含まれます。 - [プロファイルとProfiles API トークンについて](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/profiles.md): Treasure AIのプロファイル管理とProfiles API トークンについて解説。顧客データのパーソナライゼーションと、セグメント管理の基本的な仕組みを説明します。 - [TD Profiles APIとMarketo Webパーソナライゼーションの統合](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/profiles/integrate-td-profiles-api-with-marketo-web-personalization.md): Treasure AI Profiles APIとMarketo Webパーソナライゼーションを統合し、顧客データを活用して完全にパーソナライズされた体験を提供する方法を解説します。 - [TD Profiles APIとOptimizelyの統合](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/profiles/integrate-td-profiles-api-with-optimizely.md): Optimizely Web ExperimentationでTreasure AI Profiles APIを活用し、パーソナライズされたA/Bテストを実現する方法を解説します。 - [Profiles APIトラブルシューティング](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/profiles/profiles-api-troubleshooting.md): Profiles APIのトラブルシューティングガイド。セグメントID管理、ルーティング操作、キーカラム検証など、技術的な問題解決のためのヒントを提供。 - [TD JavaScript SDKを使用してプロファイルセグメントIDを取得する](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/profiles/use-td-javascript-sdk-to-fetch-profile-segment-ids.md): Treasure AI JavaScript SDKを使用してプロファイルセグメントIDを取得する方法を解説。APIリクエストとレスポンスの詳細、実装手順を紹介します。 - [Google DFP DoubleClick for PublishersでProfiles APIを使用する](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/profiles/use-the-profiles-api-with-google-dfp-doubleclick-for-publishers.md): Treasure AIのProfiles APIを使用してGoogle DFPで広告セグメントを管理する方法を解説します。セグメント設定、トークン作成、DFPとの連携手順を詳しく説明します。 - [FacebookカスタムオーディエンスでProfiles APIを使用する](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/profiles/use-the-profiles-api-with-facebook-custom-audience.md): Profiles APIを使用して、Facebook Pixelと連携し、ユーザー識別情報なしでカスタムオーディエンスを作成する方法を解説します。 - [リアルタイムセグメントについて](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/about-real-time-segments.md): リアルタイムセグメントの仕組みと、ウェブパーソナライゼーションやマーケティングに活用する方法を解説します。 - [属性グループについて](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/about-attribute-grouping.md): Audience Studioで属性グループを作成・管理する方法を解説。マーケターが複数の属性を整理し、セグメントエディタで効率的に活用するためのガイド。 - [プロファイルを表示する](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/profiles/view-profiles.md): Audience Studioでプロファイルを表示する方法を解説。セグメント内の顧客データを参照し、属性や行動を確認できる機能について詳しく説明します。 - [Marketo Web PersonalizationでProfiles APIを使用する](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/profiles/use-the-profiles-api-with-marketo-web-personalization.md): Marketo Web PersonalizationでTreasure AI Profiles APIを使用し、顧客データを活用して、パーソナライズされた体験を実現する方法を解説します。 - [リアルタイムセグメントの作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/create-a-real-time-segment.md): Audience Studioでリアルタイムセグメントを作成する手順を詳しく解説。前提条件、制限事項、ステップバイステップのガイドを提供します。 - [バッチセグメントルールを作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/create-batch-segment-rules.md): Audience Studioでバッチセグメントのルールを作成する方法を解説。属性、行動、グループ属性などを使用して、柔軟で詳細なセグメント定義を行う方法を説明します。 - [リアルタイムセグメントからのプロフィール削除](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/deleting-profiles-from-real-time-segments.md): リアルタイムセグメントからプロフィールを削除する方法を解説。GDPRやCCPAに対応するプライバシー管理プロセスを詳しく説明します。 - [バッチセグメントの作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/creating-a-batch-segment.md): Audience Studioでバッチセグメントを作成する方法を詳しく解説。ペアレントセグメントからターゲットを絞り、効果的なマーケティング分析を実現します。 - [ルールとルールセットのドラッグと並べ替え](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/drag-and-reorder-rules-and-rule-sets.md): Audience Studioでセグメントルールを簡単にドラッグ＆ドロップで並べ替える方法を解説。ルールの追加や再配置の手順を詳しく説明します。 - [セグメントの編集と削除](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/edit-and-delete-a-segment.md): Audience Studioでバッチセグメントとリアルタイムセグメントを編集・削除する手順を詳しく解説します。セグメントルールの変更や不要なセグメントの削除方法を学べます。 - [セグメントをファイルとしてエクスポート](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/exporting-a-segment-as-a-file.md): Audience Studioでセグメントをファイルとしてエクスポートする手順を詳しく解説。SQLコードのコピーと実行方法を紹介します。 - [セグメントIDの確認](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/finding-the-segment-id.md): Audience StudioでセグメントIDを簡単に見つける3つの方法を解説。APIワークフローに必要なセグメントIDの確認手順を詳しく説明します。 - [セグメントの検索](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/searching-for-segments.md): Audience Studioでセグメントを効率的に検索する方法を説明します。ペアレントセグメント内の長いリストから目的のセグメントをすばやく見つけられます。 - [セグメントとアクティベート](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/segment-and-activate.md): Treasure AIのセグメンテーション機能と、データをターゲットに効果的にエクスポートする方法について詳しく解説します。セグメント作成とアクティベーションの基本を学べます。 - [セグメントエディタの概要](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/segment-editor-overview.md): Treasure AI Audience Studioのセグメントエディタで、直感的なルール作成、高度なマッチロジック、ドラッグ＆ドロップ機能を使用してカスタムセグメントを簡単に作成できます。 - [セグメント概要](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/segments-overview.md): Audience Studioでのセグメンテーション方法を解説。ペアレント、バッチ、リアルタイムの3種類のセグメントを使った顧客データ管理と分析について詳しく説明します。 - [Audience APIを使用したアトリビュートグルーピングの作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/using-audience-api-to-create-attribute-groupings.md): Audience APIを使用してアトリビュートグルーピングを作成する方法を解説。セグメントオブジェクトの属性設定と`groupingName`の活用を詳しく説明します。 - [テーブルの作成または表示](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/databases/creating-or-viewing-tables.md): Data Workbenchでテーブルを作成、表示、管理する手順を解説。列の追加、スキーマ編集、TD Toolbeltコマンドの使い方を詳しく説明します。 - [データ管理](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/databases/data-management.md): Treasure AIのデータベースとテーブル管理方法を解説。コンソールでのデータベース操作、テーブル情報の確認、データ管理の基本を紹介します。 - [データベースの作成または表示](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/databases/creating-or-viewing-a-database.md): Treasure AIのData Workbenchでデータベースを作成または表示する方法 - [テーブルからデータを期限切れにする](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/databases/expiring-data-from-a-table.md): Treasure AIのテーブルデータ期限切れ機能について、コンソール、TD Toolbelt、Hive/Trino環境での設定方法と、データ保持管理のベストプラクティスを解説します。 - [テーブルの削除](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/databases/deleting-tables.md): Treasure AIのデータワークベンチでテーブルを削除する方法と注意点を解説。削除の手順、データ損失リスク、テーブル削除保護について詳しく説明します。 - [論理ビューのセキュリティモード](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/databases/logical-view-security-modes.md): 論理ビューのセキュリティモードを詳しく解説。DEFINERとINVOKERの違い、データアクセス制御の仕組みを説明します。 - [論理ビュー](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/databases/logical-views.md): Treasure AIの論理ビュー機能について、SQLクエリで仮想テーブルを作成し、データ分析を効率化する方法を解説します。 - [テーブルスキーマの変更またはカスタマイズ](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/databases/modifying-the-table-schema.md): Treasure Workbenchでテーブルスキーマを変更・カスタマイズする手順を解説。Treasure コンソールとCLIツールを使用した列の追加、編集、削除の方法を紹介。 - [データベースの削除](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/databases/removing-a-database.md): Treasure AIでデータベースを安全に削除する方法と、削除による影響について詳しく解説します。削除保護や復旧オプションも説明します。 - [スキーマ管理](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/databases/schema-management.md): Treasure AIのスキーマ管理について、柔軟なデータベース設計と非推測的分析アプローチを解説する技術ドキュメントページです。 - [TD Native Data Types](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/databases/td-native-data-types.md): Treasure AI native data types について説明します。primitive type、array type、および Trino、Hive、MessagePack との関係を含みます。 - [階層グループをサポートするペアレントセグメントについて](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/parent-segments/about-parent-segments-that-support-hierarchical-grouping.md): Treasure AIのグループ階層機能を使用して、ペアレントセグメントを作成し、顧客をより詳細に分類・分析する方法について説明します。 - [グループ階層をサポートするペアレントセグメントの作成](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/parent-segments/creating-a-parent-segment-that-supports-gh.md): グループ階層をサポートするペアレントセグメントの作成方法を解説。APIを使用して顧客グループを定義し、マーケティングの洞察を向上させる手順を説明。 - [Data Workbench を使用したリアルタイムパーソナライゼーションサービスの作成](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/parent-segments/creating-real-time-personalization-services-with-data-workbench.md): Data Workbenchを使用して、リアルタイムパーソナライゼーションサービスを設定し、カスタマイズされた認証トークンを生成する方法を解説します。 - [ペアレントセグメントの作成](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/parent-segments/creating-parent-segments.md): Data Workbenchでペアレントセグメントを作成する方法を解説。マスターセグメントの設定、スケジュール、属性フィルターの指定方法を詳しく説明します。 - [データエンリッチメントアクションリファレンス](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/parent-segments/data-enrichment-action-reference.md): Treasure AIのデータエンリッチメントアクションについて、属性エンリッチメントの種類、有効化方法、追加される出力列を詳細に解説します。 - [データオーケストレーション](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/parent-segments/data-orchestration.md): Treasure AIでデータをクリーニング、正規化、変換、セグメント化するための包括的なデータオーケストレーション機能を解説します。効率的なデータ管理と分析のためのツールと手法を紹介します。 - [マスターセグメントの使用](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/parent-segments.md): Treasure AIのマスターセグメント機能を使用して、顧客データを簡単に統合、管理し、SQLなしでパーソナライズされたセグメントを作成する方法を解説します。 - [処理エンジンとリソースプール](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/parent-segments/processing-engine-and-resource-pools.md): Treasure AIのマスターセグメント作成における処理エンジンとリソースプールの選択方法を解説。HiveとTrinoの特徴、計算リソース管理のベストプラクティスを紹介します。 - [マスターセグメントの更新](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/parent-segments/refreshing-master-segments.md): マスターセグメントの更新方法を解説。Data Workbenchでセグメントデータモデルを手動または自動で最新化する手順を紹介します。 - [ワークフローを使用したマスターセグメントの入力](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/parent-segments/using-workflow-to-populate-your-master-segments.md): Treasure Workflowを使用してマスターセグメントにデータを入力し、顧客データを他のシステムに効率的に配信する方法を解説します。 - [ワークフローを使用したソーステーブルの準備](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/parent-segments/using-workflow-to-prepare-source-tables.md): Treasure AIのワークフローを使用して、マスターセグメントのソーステーブルを効率的に準備する方法を解説します。 - [マスターセグメントワークフロー履歴の表示](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/parent-segments/viewing-master-segment-workflow-history.md): Data Workbenchでマスターセグメントのワークフロー履歴を表示する方法を解説。権限に応じて、最新100件のワークフロー実行状況を確認できます。 - [追加のエディター機能](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/additional-editor-features.md): Treasure AIのクエリエディターにおける高度な編集機能を紹介。キーボードショートカット、検索と置換、オートコンプリート、コード折りたたみなどの生産性向上ツールを解説。 - [クエリの作成または編集](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/creating-or-editing-a-query.md): Treasure AI Data Workbenchでクエリを作成・編集する方法を解説。TrinoとHiveエンジンの特徴や、クエリ作成の具体的な手順を詳しく説明します。 - [Treasure AIにおけるデータパーティショニング](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/data-partitioning-in-treasure-data.md): Treasure Dataにおけるデータパーティショニングの仕組みと、時間範囲に基づくクエリ最適化について説明します。 - [クエリの定義](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/defining-a-query.md): Treasure AI Data Workbenchでクエリを定義する方法を解説。データベース選択、キーワード入力、テーブル操作、クエリの実行と保存の手順を詳しく説明します。 - [テーブルから行を削除する](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/deleting-rows-from-a-table.md): Treasure AIでテーブルから行を削除する方法と、TrinoのDELETE文の使用方法を解説する技術ドキュメントページです。 - [クエリについて](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries.md): Treasure AIのクエリエンジンについて、SQLを使用した顧客データ分析の方法と、TrinoとHiveの特徴を解説する技術文書ページです。 - [ワークフローのメール通知について](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/about-workflow-email-notifications.md): Treasure ワークフローは、ワークフローで問題が発生したり、制限を超えたりした場合に自動的にメール通知を送信します。 - [クエリに対するクエリエンジンの指定](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/specifying-the-query-engine.md): Treasure AIのクエリエンジン選択方法を解説。パフォーマンスと精度を最適化するためのクエリエンジン設定手順を紹介します。 - [Workflow 構文について](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/about-workflow-syntax.md): Treasure ワークフロー 構文は CLI と UI の両方で使用します。 - [変数の計算](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/calculating-variables.md): ${...} 構文で基本的なJavaScriptスクリプトを使用して変数を計算できます。 例えば、タイムスタンプをさまざまな方法でフォーマットする場合などです。 - [ワークフローのステータスを確認する](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/checking-the-status-of-your-workflow.md): CLIで提供されるIDを使用して、ワークフローセッション、タスク、またはログのステータスを確認できます。 - [分割ビューでのプロジェクトリビジョンの比較](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/comparing-project-revisions-in-a-split-view.md): 分割ビューウィンドウを使用して、プロジェクトの2つのリビジョンを表示できます。 - [CircleCI を使用したワークフローの継続的デプロイ](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/continuous-deployment-of-workflows-with-circleci.md): Treasure ワークフローはGitなどのバージョン管理ツールやなどの継続的インテグレーションツールと併用できます。 - [Jenkins CIによるワークフローの継続的デプロイ](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/continuous-deployment-of-workflows-with-jenkins-ci.md): Treasure ワークフローはGitなどのバージョン管理ツールやなどの継続的インテグレーションツールと併用できます。 - [Travis CIを使用したワークフローの継続的デプロイ](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/continuous-deployment-of-workflows-with-travis-ci.md): Treasure ワークフローはGitなどのバージョン管理ツールやなどの継続的インテグレーションツールと併用できます。 - [保存済みワークフローとクエリのディレクトリの作成](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/creating-a-directory-of-saved-workflows-and-queries.md): この例では、Treasure AIで保存済みジョブを実行してデータをインポートし、クエリを実行してから、クエリ結果を外部データベースまたはサービスにエクスポートするワークフローを作成します。 - [異なるプロジェクトバージョンへの変更の作成とコピー](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/creating-and-copying-changes-to-a-different-project-version.md): プロジェクトリビジョン履歴を表示しているときに、新しいファイルを作成したり、編集したり、変更を新しいファイルにコピーしたりできます。 - [ワークフローの作成](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/creating-a-workflow.md): CLIまたはUIでワークフローを作成できます。Treasure AI™では、これら2つのインターフェースオプション間をスムーズに移動できます。 - [ファイルの作成と削除](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/creating-and-deleting-files.md): Project Editorモーダル内で個々のファイルを作成および削除できます。 - [ワークフロー通知の作成](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/creating-workflow-notifications.md): デフォルトでは、すべてのワークフローは失敗時にメール通知を送信します。これらの失敗通知は、ワークフローを最後に編集した人に送信されます。 - [変数の定義](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/defining-variables.md): 変数の定義方法 - [Treasure ワークフロー のカスタマイズ](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customizing-a-treasure-workflow.md): 以下をカスタマイズできます： ワークフロー定義と組み合わせて、セッションはワークフローが操作するデータセットを識別することで、ワークフローを一意に定義します。 - [ワークフローの削除](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/deleting-a-workflow.md): ワークフローの削除方法 - [リビジョンのダウンロード](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/downloading-a-revision.md): プロジェクトリビジョンはダウンロードして、ローカルで解凍できます。 - [Treasure コンソールからのシークレットの削除](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/deleting-secrets-from-td-console.md): Treasure AIでは、Treasure コンソールからシークレットを削除できます。 - [Project Editorでのファイル編集](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/editing-files-in-the-project-editor.md): Treasure コンソール内のProject Editorを使用して、ワークフロープロジェクトファイルを編集できます。 - [日次クエリのエクスポートと実行](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/exporting-and-running-a-daily-query.md): シンプルなワークフローテンプレートは、クエリを毎日エクスポートして実行します。 - [ワークフロー内でTrinoとHiveジョブを連携して実行する例](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/example-of-running-presto-and-hive-jobs-in-coordination-within-workflow.md): ワークフロー内でTrinoとHiveジョブを連携して実行する例 - [パラメータを使用したデータのエクスポート](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/exporting-data-with-parameters.md): ワークフローでエクスポートするデータを指定するときに、パラメータを含めることができます。 - [Treasure ワークフローによるワークフロー管理](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/getting-started-with-treasure-workflow.md): Treasure ワークフローの基本的な使い方。Treasure コンソールとCLIでワークフローを作成、編集、実行する方法を学びます。 - [Treasure ワークフローの並列タスク例](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/parallel-task-examples-for-td-workflow.md): Treasure ワークフローでは、タスクを並列で実行できます。デフォルトでは、タスクは順次実行されます。 - [Treasure ワークフローについて](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows.md): Treasure ワークフローは、複数のクラウド環境でタスクをオーケストレーションできるマルチクラウドワークフローエンジンです。 - [ワークフローでのタスクのグループ化と並列実行の有効化](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/grouping-tasks-in-workflow-and-enabling-parallel-execution.md): タスクのグループ化は、ワークフローのビジネスロジックを整理する方法として役立ちます。これにより、他のチームメイトがあなたの意図を理解しやすくなり、ワークフロー内の特定のタスクの並列実行も可能になります。 - [削除されたワークフロープロジェクトの復元](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/recovering-a-deleted-workflow-project.md): 削除されたワークフロープロジェクトを復元できるのは、Treasure コンソールから削除された場合のみです。 - [Amazon Web Servicesオペレータのリファレンス](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/reference-for-amazon-web-services-operators.md): Amazon Web Servicesオペレータのリファレンス - [Google Cloud Platform オペレータのリファレンス](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/reference-for-google-cloud-platform-operators.md): Google Cloud Platform オペレータのリファレンス - [Treasure AIオペレータのリファレンス](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/reference-for-treasure-data-operators.md): Treasure AIオペレータのリファレンス - [ワークフロー全体または一部の再実行](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/rerunning-a-whole-or-partial-workflow.md): ワークフロー全体または一部の再実行 - [ネットワークオペレーターのリファレンス](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/reference-for-network-operators.md): ネットワークオペレーターのリファレンス - [CLIからプロジェクトバージョンを復元する](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/restoring-a-project-version-from-the-cli.md): ワークフローが誤って削除、上書きされた場合、またはワークフローに不要な変更が加えられて保存された場合に、元に戻すことができます。 - [プロジェクトバージョンの復元](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/restoring-a-project-version.md): プロジェクトエディターのRestore Revision機能を使用して、以前に動作していたプロジェクトの別のバージョンを復元する必要がある場合があります。 - [一時停止されたワークフローの再開](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/resuming-a-paused-workflow.md): Treasure AI では、スケジュールされたワークフローを一時停止し、以前スキップされたすべてのセッションを実行して再開するか、次のスケジュールされたセッションから開始するかを選択できます。 - [プロジェクトリビジョンIDの取得](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/retrieving-your-project-revision-id.md): 各ワークフローインスタンスに割り当てられた一意のリビジョンIDを使用して、Treasure コンソールまたはTD Toolbeltで以前に保存したワークフローに戻すことができます。 - [コマンドラインからのワークフローの実行](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/running-a-workflow-from-the-command-line.md): コマンドラインからのワークフローの実行 - [ワークフローセッションの実行](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/running-a-workflow-session.md): ワークフローセッションの実行 - [ワークフローのスケジュール設定](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/scheduling-workflows.md): ワークフローを定期的に実行するには、ワークフロー定義ファイルの先頭にschedule:オプションを設定します。 - [Workflowシークレットの管理](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/secret-management.md): シークレットを使用すると、パスワード、OAuthトークン、SSHキーなどの機密情報を保存および管理できます。 - [Treasure コンソール からのワークフローシークレットの設定](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/setting-workflow-secrets-from-td-console.md): Treasure コンソール の Secrets タブを使用して、任意のプロジェクトレベルのワークフローに直接シークレットを設定できます。 - [API キーとエンドポイントの設定](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/setting-your-api-key-and-endpoints.md): シークレットは機密データを含むオブジェクトです。シークレットを使用すると、セキュリティを損なうことなく、Treasure AI にアクセスし、機密情報を Console に渡すことができます。 - [コマンドラインからのワークフローシークレットの設定](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/setting-workflow-secrets-from-the-command-line.md): ワークフローでは、特定のTreasure APIキーやPostgreSQL認証情報を使用する必要があることがよくあります。 Treasure APIキー、データベース認証情報、およびその他のオブジェクトは、潜在的に機密性の高いビジネスデータへのアクセスに使用できるため、安全に取り扱うことが重要です。 - [Treasure ワークフローのベストプラクティス](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/td-workflow-best-practices.md): Treasure ワークフローでデータを管理するためのベストプラクティスをご紹介します。 - [Treasure ワークフロー FAQ](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/td-workflow-faqs.md): Treasure ワークフロー FAQ - [TD Toolbeltを使用したTreasure ワークフロークイックスタート](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/treasure-workflow-quick-start-using-td-toolbelt-in-a-cli.md): このチュートリアルでは、コマンドラインインターフェースを使用して、2つのTreasure AI Trinoジョブを順番に実行する最初のワークフローを実行します。 - [Treasure ワークフロー の用語と概念](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/treasure-workflow-terms-and-concepts.md): Treasure ワークフロー は、ワークフロープロセスのベストプラクティスを提供し、業界標準の用語を使用しています。 - [Treasure ワークフロー を使用したインテグレーションによるデータのインポート](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/using-integrations-to-import-data-with-td-workflows.md): ワークフローを使用してインテグレーションデータをインポートする場合、2つのオプションがあります - [コマンドラインインターフェースからの Treasure ワークフロー の使用](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/using-treasure-workflow-from-the-command-line-interface.md): Treasure ワークフロー は Treasure コンソール とコマンドラインの両方から使用できます。 - [読み取り専用アクセス](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/view-only-access.md): ワークフローを編集する権限を持たないユーザーでも、Project Editor内からワークフローを開いて表示できます。 - [ワークフローの詳細の表示](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/viewing-details-of-your-workflows.md): ワークフローの詳細の表示 - [ワークフローオブジェクトの取得](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/viewing-start-and-end-dates-using-an-api.md): APIを使用してワークフローの詳細、スケジュール情報、開始日と終了日を表示する方法を説明します。 - [ワークフローの最終実行パスの表示](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/viewing-the-last-execution-path-of-your-workflow.md): 最終実行パス機能を使用すると、ワークフローのタスク実行パスを表示することで、ETLパイプラインを確認およびトラブルシューティングできます。 - [コマンドラインインターフェースからのワークフローエラーの表示](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/viewing-workflow-error-via-the-command-line-interface.md): コマンドラインインターフェースからのワークフローエラーの表示 - [ワークフロー権限マトリックス（レガシー）](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/workflow-permissions-matrix-legacy.md): ワークフロー権限マトリックス（レガシー） - [ワークフロー組み込み変数リファレンス](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/workflow-built-in-variables-reference.md): ワークフロー組み込み変数リファレンス - [ワークフロートリガー](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/workflow-trigger.md): Treasure ワークフロー のワークフロートリガーは、先行ワークフローの成功をトリガーに後続ワークフローを自動起動する機能です。`trigger:` ブロックで依存関係を宣言します。 - [Workflows SFTPデータコネクタの例](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/workflows-sftp-data-connector-example.md): Workflows SFTPデータコネクタの例 - [Split View での作業](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/working-in-a-split-view.md): Project Editor では、Split View を使用してファイルを表示および操作できます。 - [サンプルテーブルのクエリ](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/getting-started/querying-a-sample-table.md): サンプルテーブルをクエリする - [最初のクエリを実行する](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/getting-started/run-a-query-and-download-results.md): Treasure AIは、クエリを試すためのサンプルデータを含むプリセットテーブルとして_sample_datasets_データベースを提供しています。 - [サンプルテーブルの表示](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/getting-started/viewing-a-sample-database.md): サンプルデータベースを表示する。 - [新しいAuthenticationを作成する](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/authentications/creating-a-new-authentication.md): Treasure AI Integration Hubで新しいAuthenticationを作成する手順を詳しく解説します。安全なデータソース接続の設定方法を段階的に説明します。 - [既存のAuthenticationを編集する](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/authentications/editing-an-existing-authentication.md): Treasure AI Integration Hubで既存の認証設定を編集する手順を解説します。接続情報の更新方法を詳しく説明します。 - [Authenticationの Sourcesリストを検索する](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/authentications/find-a-list-of-sources-for-your-authentication.md): Treasure コンソールでAuthenticationのSourcesリストを簡単に検索・フィルタリングする方法を解説します。統合ハブでデータソースを効率的に管理できます。 - [Authentications の操作](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/authentications.md): Authentications は、Treasure AI データコネクタを使用して外部リソースからデータをインポートしたり、外部リソースにデータをエクスポートしたりするために使用されます。 - [既存のAuthenticationを再利用する](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/authentications/reusing-an-existing-authentication.md): 既存のConnector Authenticationを再利用し、セキュリティを向上させ、統合設定の時間を短縮する方法を解説します。OAuth2認証の統合にも対応しています。 - [Snippet Create New Authentication Steps](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/authentications/snippet-create-new-authentication-steps.md): Treasure AI Integration Hubで新しい認証を作成する手順を詳しく解説。統合カタログから資格情報を設定し、簡単に接続を構築する方法を説明。 - [Authenticationsを表示する](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/authentications/viewing-authentications.md): Treasure コンソールでAuthenticationsページを操作し、データ接続を簡単に表示、フィルタリング、管理する方法を解説します。 - [Authenticationsの操作](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/authentications/working-with-authentications.md): Treasure AI Data Connectorを使用した外部リソースとのデータ連携に必要な認証設定方法と、統合プロセスの詳細を解説します。 - [Webhookとポストバックを使用したイベントトラッキング](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/event-tracking-with-webhooks-and-postbacks.md): Treasure AIへのイベントトラッキングにおけるWebhookとポストバックの設定方法を解説。データ連携と分析のための実践的なガイドです。 - [Data Ingestion API を使用したテーブルレコードのインポート](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/importing-table-records-using-the-data-ingestion-api.md): Treasure AI は、TD データベース内の既存のテーブルにプログラムで行をインポートできる ingest API を提供しています。 - [レコード単位での重複排除](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/per-record-deduplication.md): モバイルとUnity SDKでのデータ転送時に、UUIDベースのレコード単位重複排除を実現する仕組みと、その動作原理を解説します。 - [Postback API](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/postback-api.md): Treasure AIのPostback APIを使用したデータインポートの方法と認証プロセスを解説する技術文書ページです。REST APIを通じてデータベースとテーブルにイベントデータを送信する方法を詳しく説明しています。 - [Live Connect Ingest](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/zero-copy/live-connect-ingest.md): Treasure AI CDPのLive Connect Ingestで、データウェアハウスからのゼロコピーデータ取り込みと簡単な同期機能について説明します。Snowflakeとの統合により、データ移動を効率化します。 - [トラッキングピクセル](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/tracking-pixels.md): Treasure AIのトラッキングピクセルを使用してイベントデータを送信する方法を解説。認証、パラメータ設定、<img>タグでの利用方法を詳しく説明します。 - [DatabricksでのLive Connect Zero Copy](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/zero-copy/live-connect-zero-copy-with-databricks.md): Databricksでのzero-copy連携により、Delta Sharingを活用したデータ共有と統合の詳細な手順と設定方法を解説します。 - [Google BigQueryでのLive Connect Zero Copy](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/zero-copy/live-connect-zero-copy-with-google-big-query.md): Google BigQueryのLive Connect Zero Copyを使用して、ETLプロセスなしでデータにアクセスし、セキュリティを強化しながらデータ統合を簡素化する方法を解説します。 - [SnowflakeでのLive Connect Zero Copy](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/zero-copy/live-connect-zero-copy-with-snowflake.md): SnowflakeデータウェアハウスからのZero-Copy連携方法を解説。TD Integration HubでSnowflakeインテグレーションを設定し、フェデレーテッドクエリを実行する手順を紹介します。 - [RedshiftでのLive Connect Zero Copy](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/zero-copy/live-connect-zero-copy-with-redshift.md): RedshiftデータウェアハウスへのZero-Copy接続により、ETLプロセスなしでTreasure AI CDPから直接データにアクセスし、セキュアで効率的なデータ統合を実現します。 - [カスタムスクリプト環境でDelta Sharing機能を使用する](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/zero-copy/using-the-delta-sharing-capability-in-a-custom-script-environment.md): カスタムPythonスクリプトでDelta Sharing機能を設定し、Databricksの共有データにアクセスする方法を詳細に解説します。 - [バッチジャーニーの変更](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/changing-a-batch-journey.md): Audience Studioでバッチジャーニーのステータスと編集可能な項目を詳しく解説。下書き、稼働中、一時停止中のジャーニーで可能な変更点を理解できます。 - [ドラッグオン ルールのコピーと追加](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/copy-adding-drag-on-rules.md): Audience Studioでドラッグオン ルールをジャーニーにコピーし追加する手順と、バッチジャーニーのバージョン管理について解説します。 - [バッチジャーニーバージョンの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/creating-a-batch-journey-version.md): Treasure AIのAudience Studioで、バッチジャーニーの新しいバージョンを作成する方法と制限事項を解説します。マーケターがジャーニーを柔軟に管理できる手順を紹介。 - [バッチジャーニーの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/creating-a-batch-journey.md): Audience Studioでバッチジャーニーを作成する手順を解説。セグメント選択、ステージ設定、ルール作成の方法を詳しく説明します。 - [バッチジャーニーアクティベーションの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/creating-a-batch-journey-activation.md): Treasure AIのAudience Studioで、バッチジャーニーアクティベーションを作成する手順と要件を詳しく解説します。アクティベーションの仕組みと注意点を理解できます。 - [ディシジョンポイントの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/creating-a-decision-point.md): Treasure AIのAudience Studioで、ジャーニーのディシジョンポイントを作成し、ユーザーを属性や行動に基づいてパーソナライズされたパスに誘導する方法を解説します。 - [マージの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/creating-a-merge.md): Treasure AI Journey Orchestrationでマージイベントを作成する方法を説明し、複数のジャーニーパスを1つに結合する手順を紹介します。 - [Jumpの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/creating-a-jump.md): Treasure AI JourneyのJumpを使用すると、ジャーニー中のプロファイルの行動に基づいて、プロファイルを別のジャーニーまたはステージに送信できます。 - [キャッピング付きプライオリティグループの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/creating-a-priority-group-with-capping.md): Treasure AIのジャーニーオーケストレーションで、キャッピング付きプライオリティグループを作成する方法を解説。ジャーニーの優先順位設定と参加制限の詳細を説明します。 - [ウェイトステップの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/creating-a-wait-step.md): Audience Studioでジャーニーのウェイトステップを作成する方法を解説。ユーザーエクスペリエンスを最適化するための待機時間設定手順を紹介します。 - [バッチジャーニーのステージルールの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/creating-stage-rules-for-batch-journey.md): Audience Studioでバッチジャーニーのステージルールを作成する手順を解説。マイルストーン、エントリ条件、退出条件の設定方法を詳しく説明します。 - [デシジョンポイントの進捗](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/decision-point-progress.md): Audience Studioのデシジョンポイントの進捗を詳しく解説。ジャーニーステージでのプロファイルの移動と、セグメント更新の仕組みを説明します。 - [プロファイルの再エントリー基準の定義](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/defining-profile-re-entry-criteria.md): Audience Studioでジャーニーのプロファイル再エントリー基準を設定する方法を解説。再エントリーのルールと条件を詳しく説明します。 - [バッチジャーニーバージョンの削除](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/deleting-a-batch-journey-version.md): Treasure Audience Studioでバッチジャーニーバージョンを削除する手順と、削除時のプロファイル再エントリーの動作を解説します。 - [Journey の詳細分析](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/drilling-down-into-journeys.md): Customer Journey Dashboard は、バッチ Journey、ステージ、およびプロファイルに関する統計データを含むチャートを提供します。 - [バッチジャーニーの複製](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/duplicating-a-batch-journey.md): Treasure AI Audience Studioでバッチジャーニーを複製する方法を解説。ライブジャーニーの新しいバージョン作成手順と制限事項を詳しく説明します。 - [デシジョンポイントの編集](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/editing-a-decision-point.md): Audience Studioのジャーニーにおけるデシジョンポイントの編集方法を解説。条件の名前変更、ルール編集、削除などの操作と制限事項を説明します。 - [ジャーニーについて](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch.md): Audience Studioのジャーニー機能について、バッチジャーニーとリアルタイムジャーニーの特徴を解説し、マーケティングでの活用方法を紹介します。 - [Journey FAQ](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/journey-faqs.md): ジャーニーを含むフォルダおよび現在のジャーニーの終了基準、目標、Jumpイベントでジャンプ先として設定されているジャーニーへの編集アクセス権を持っている場合のみ、ジャーニーを起動できます。 - [ジャーニーワークフロー依存関係](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/journey-workflow-dependencies.md): Treasure AIのジャーニーワークフロー依存関係について、3つのワークフロー（ペアレントセグメント、ジャーニー、アクティベーション）の関係と正しいスケジュール方法を解説します。 - [REST APIを使用したジャーニーの一時停止と再開](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/pausing-and-resuming-a-journey-using-the-rest-api.md): REST APIを使用してジャーニーを一時停止・再開する方法を詳しく解説。ライブジャーニーの管理と制御に関する技術的な手順を説明します。 - [オンデマンドジャーニー実行](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/on-demand-journey-execution.md): ペアレントセグメントの更新完了を待たずに、最新のセグメントデータを使用してバッチジャーニーを即時トリガーします。 - [ジャーニーの一時停止と再開](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/pausing-and-resuming-a-journey.md): Treasure AIのAudience Studioでジャーニーを一時停止・再開する方法を解説。キャンペーン管理における重要な操作手順を詳しく説明します。 - [バッチジャーニーダッシュボードチャートの確認](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/reviewing-the-batch-journey-dashboard-charts.md): Treasure AI Audience Studioのバッチジャーニーダッシュボードチャートの詳細な解説。マーケティング担当者向けに、ジャーニーメトリクスの読み方と分析方法を解説します。 - [バッチジャーニープロファイルパネルの確認](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/reviewing-the-batch-journey-profiles-panel.md): バッチチャーーニーのンーのプロファーロファイ�ルパネルで、最新なのプージロルサンプンプルHumanを確認認し、詳細な属性と行行動を調査できます。 - [バッチジャーニーバージョンパネルの確認](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/reviewing-the-batch-journey-versions-panel.md): Audience Studioのバッチジャーニーバージョンパネルで、ジャーニーのバージョン管理と追跡を効率的に行う方法を解説します。 - [バッチステージパネルの確認](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/reviewing-the-batch-stages-panel.md): Treasure AI Journey Orchestrationのバッチステージパネルの詳細を解説。ステージチャートの見方、データ表示、時間枠、主要メトリクスを紹介します。 - [シナリオベースのエンゲージメント](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/scenario-based-engagement.md): Treasure AIのカスタマージャーニーオーケストレーション機能を使用して、パーソナライズされたメールシナリオを効果的に設計・実行する方法を解説します。 - [リアルタイムステージルールへのドラッグオンルールの追加](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime/adding-drag-on-rules-to-real-time-stage-rules.md): リアルタイムジャーニーのドラッグオンルール設定方法を解説。ステージ、エントリー、退出条件への追加手順を詳しく説明します。 - [ジャーニーステータスについて](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/understanding-journey-statuses.md): Treasure AI ジャーニーオーケストレーションのバッチジャーニーステータスと、各ステータスで可能なアクションを詳しく解説します。 - [REST APIからのDecision Pointのマージおよび重複機能の使用](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/using-decision-points-merge-and-duplicate-features-from-the-rest-api.md): REST APIを使用してCustomer Data Platformのジャーニーオーケストレーションで、Decision Pointのマージと重複機能を設定する方法を解説します。 - [リアルタイムジャーニーの変更](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime/changing-a-real-time-journey.md): Audience Studioでリアルタイムジャーニーのステータスと変更方法を解説。ドラフト、ライブ、一時停止中のジャーニーで可能な操作を詳しく説明します。 - [リアルタイムジャーニーのマージを作成する](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime/creating-a-merge-for-a-real-time-journey.md): リアルタイムジャーニーで複数のパスを1つに結合するマージイベントの作成方法を解説します。 - [リアルタイムジャーニーのジャンプの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime/creating-a-jump-for-a-real-time-journey.md): リアルタイムジャーニーでプロファイルを別のジャーニーステージに移動する方法を解説します。ジャンプの作成、制限事項、手順を詳しく説明します。 - [リアルタイムジャーニーの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime/creating-a-real-time-journey.md): リアルタイムジャーニーを数分以内に作成し、顧客とのパーソナライズされたインタラクションを実現する方法を解説します。 - [Real-Time Triggered Activation の作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime/creating-a-real-time-triggered-activation.md): Real-Time Triggered Activation の作成 - [リアルタイムデシジョンポイントの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime/creating-a-realtime-decision-point.md): リアルタイムデシジョンポイントを作成し、プロファイルに基づいてパーソナライズされたジャーニーを設定する方法を解説します。条件設定や除外ルールについて詳しく説明します。 - [リアルタイムジャーニーのウェイトステップを作成する](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime/creating-a-wait-step-for-a-real-time-journey.md): リアルタイムジャーニーでウェイトステップを追加し、ユーザーエンゲージメントをカスタマイズする方法を解説します。 - [リアルタイムジャーニーの退出基準の作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime/creating-exit-criteria-for-a-real-time-journey.md): リアルタイムジャーニーのステイルプロファイルとカスタム退出基準の設定方法を詳しく解説します。最大20の退出基準を追加可能です。 - [リアルタイムジャーニーのステージルールの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime/creating-stage-rules-for-a-real-time-journey.md): リアルタイムジャーニーのステージルールを作成する方法を解説。フィルター、制限事項、ユースケース例を含む詳細なガイド。 - [リアルタイムデシジョンポイントの編集](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime/editing-a-real-time-decision-point.md): Audience Studioのリアルタイムデシジョンポイントを編集する方法を解説。条件の名前変更、ルール編集、削除、制限事項について詳しく説明します。 - [リアルタイムジャーニーについて](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime.md): Audience Studioのリアルタイムジャーニー機能を解説。数分以内にメールやメッセージを送信し、顧客体験を最適化する方法を説明します。 - [リアルタイムジャーニーの管理](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime/managing-real-time-journeys.md): Treasure AI Audience Studioでリアルタイムジャーニーを表示、編集、複製、削除する方法を解説。権限設定や操作手順を詳しく説明します。 - [リアルタイムトリガーアクティベーションの一時停止](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/realtime/pausing-real-time-triggered-activations.md): リアルタイムトリガーアクティベーションの一時停止と再開方法。プロファイルの移行、アクティベーションへの影響を解説。 - [カスタマージャーニーダッシュボードについて](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/trafficcontrol/about-the-customer-journey-dashboard.md): Treasure AIのTraffic Control機能で、カスタマージャーニーの優先度グループを管理し、ジャーニーの追加、編集、削除を行う方法を解説します。 - [優先度グループの変更](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/trafficcontrol/changing-a-priority-group.md): Audience Studioで優先度グループを変更、複製、削除する方法を解説。Traffic Controlの設定変更と権限要件について詳しく説明します。 - [Traffic Control 概要](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/trafficcontrol/traffic-control-overview.md): Treasure AI Journey OrchestrationのTraffic Control機能について、マーケティング疲労を防ぎ、優先順位の高いキャンペーンを最適化する方法を解説 - [プライオリティグループの表示](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/trafficcontrol/viewing-priority-groups.md): Audience Studioでプライオリティグループのステータスと進捗を簡単に確認する方法を説明します。Traffic Controlの操作手順を詳しく解説します。 - [NBP AI Signals](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/ai-signals/nbp-ai-signals.md): 顧客の行動と嗜好に基づいて、最適な製品やサービスを予測するAI推奨エンジン。マーケティング戦略の最適化と顧客エンゲージメント向上に貢献します。 - [AI Signals](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/ai-signals.md): Treasure AI CDPのAI Signalsが提供する機械学習ソリューション。RFM、NBP、CLTVなどの高度な顧客インサイトで、マーケティング戦略を最適化します。 - [RFM 顧客セグメンテーション](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/ai-signals/rfm-ai-signals.md): Treasure AIのAI Signalを使用して、Recency、Frequency、Monetary Valueに基づいて顧客ベースを自動的にセグメント化します。Champions、Loyal Customers、Lost Customersなど10の業界標準セグメントにスコアリングし、ターゲットキャンペーンに活用できます。 - [AutoML FAQ](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/automl-faqs.md): Treasure AIの機械学習ソリューションAutoMLに関する包括的なFAQページ。製品、技術、ライセンスに関する重要な質問と回答を提供します。 - [AutoMLワークフローオペレーター](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/automl-workflow-operators.md): Treasure AIのAutoMLワークフローオペレーターについて、モデルトレーニングと予測のための基本的な機能と、カスタムソリューションパッケージの詳細を解説します。 - [AutoML概要](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl.md): Treasure AIの自動機械学習（AutoML）ソリューションについて、MLプロセスの自動化、簡素化、効率化を説明する包括的な概要ページです。データサイエンティストや技術者向けの機能と利点を解説しています。 - [機械学習パイプラインの管理](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/managing-the-machine-learning-pipeline.md): Treasure AIで機械学習パイプラインを管理する方法を解説。データ準備、モデル構築、評価、予測までのAutoMLワークフローと、Digdagオペレータの活用を紹介します。 - [Engage Studio — Web Message Previewer](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/experiences/chrome-extension.md): Engage Studio — Web Message Previewer Chrome Extensionをインストールして、実際のWebサイト上でDOM要素を視覚的に選択し、In-Browser Messageキャンペーンのコンテンツをリリース前にプレビューする方法を説明します。 - [Popupキャンペーンの作成 — In-Browser Messaging](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/experiences/create-a-popup-campaign.md): Engage StudioでPopup（モーダルオーバーレイ）タイプのIn-Browser Messageキャンペーンを作成する手順を説明します。オーディエンスのターゲティング、レイアウト設定、Launchまでを網羅します。 - [Inlineキャンペーンの作成 — In-Browser Messaging](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/experiences/create-an-inline-campaign.md): Engage StudioでInlineタイプのIn-Browser Messageキャンペーンを作成する手順を説明します。Zone IDの設定、HTMLコードの編集、Launchまでを網羅します。 - [イベントトラッキング — In-Browser Messaging](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/experiences/event-tracking.md): GA4互換の命名規則を使用してIn-Browser Messagingのビジネスイベントを定義・実装する方法を説明します。ページビュー、商品操作、カートイベントなどを網羅します。 - [メッセージコンテンツのパーソナライズ — In-Browser Messaging](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/experiences/personalize-message-content.md): Engage StudioのIn-Browser Messageコンテンツをプロフィール変数とLiquidテンプレート構文でパーソナライズするためのリファレンスガイドです。サポートされる構文とコード例を含みます。 - [In-Browser Messaging 概要](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/experiences.md): Engage StudioのIn-Browser Messaging機能とReal-Time Personalization 2.0を使用して、ポップアップオーバーレイやインラインDOMの差し替えといったパーソナライズされたWebエクスペリエンスを配信する方法を説明します。 - [File Decoder Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/decoder/file-decoder-function.md): Learn how to use file decoder plugins for gzip, bzip2, and single file zip compression in Treasure Data integration hub batch import processes. - [In-Browser Messaging — セットアップと前提条件](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/experiences/setup-and-prerequisites.md): Engage StudioでIn-Browser Messageキャンペーンを作成する前に必要な、RT Personalization 2.0とTD Web SDKの要件チェックリストです。 - [トラブルシューティング — In-Browser Messaging](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/experiences/troubleshooting.md): Engage StudioのIn-Browser Messagingに関するよくある問題のトラブルシューティングガイドです。ポップアップが表示されない、インラインのZone IDが一致しない、SDKエラー、SPA固有の問題などを網羅します。 - [TD Web SDK統合 — In-Browser Messaging](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/experiences/sdk-integration.md): Webサイトにおいて、In-Browser MessagingをRT Personalization 2.0で有効化するためのTD Web SDKのインストール、初期化、設定方法を説明します。 - [About Filter Functions](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/about-filter-functions.md): Learn how Treasure AI filter functions transform, manipulate, and unify data from multiple sources, enabling seamless data integration and privacy protection. - [add_time Filter Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/add_time-filter-function.md): Add a time-based column to your data schema using the add_time filter function, with options to copy existing columns or specify custom time values. - [Adding Columns Filter](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/adding-columns-filter.md): Learn how to use the Add Columns filter in the Integrations Hub to duplicate columns, create new columns with static values, and customize data imports. - [Applying Import Integration Filters](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/applying-import-integration-filters.md): Learn how to apply import integration filters for S3, FTP, and SFTP connectors to modify imported data after configuring data settings. - [Calcite Filter Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/calcite-filter-function.md): Learn how to use the Calcite Filter Function in Embulk to filter data rows with SQL queries, leveraging Apache Calcite for flexible data processing and row translation. - [Columns Filter Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/columns-filter-function.md): Learn how to add, filter, and manipulate columns in Treasure AI's integration hub using the columns filter function with flexible configuration options. - [csv_all_strings Guess Filter Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/csv_all_strings-guess-filter-function.md): Learn how to use the csv_all_strings guess filter function to force CSV column types as strings during data import in Treasure AI integrations. - [Data Manipulation](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/data-manipulation.md): Learn how to manipulate and unify data from various sources using Treasure AI's powerful filter functions for data transformation and integration. - [Data Masking](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/data-masking.md): Learn how to protect sensitive data using Treasure AI's data masking filter functions for encryption, hashing, and decryption in batch data imports. - [Decrypt Filter Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/decrypt-filter-function.md): Comprehensive guide to decrypting data columns using Treasure AI's decrypt filter plugin with AES encryption algorithms and configurable options. - [Digesting Filter](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/digesting-filter.md): Learn how to use the Digest filter to protect sensitive data by hashing specific columns during data import, with customizable hash algorithms. - [Dropping Columns Filter](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/dropping-columns-filter.md): Learn how to use the Drop Columns filter to remove unwanted columns from your data import, simplifying data management and protecting sensitive information. - [Encrypt Filter Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/encrypt-filter-function.md): Learn how to use the Encrypt Filter Function to securely encrypt data columns using AES encryption algorithms in Treasure AI integrations. - [Expand_json Filter Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/expand_json-filter-function.md): Expand JSON columns in Treasure AI's Data Connector with the expand_json filter function, configuring column expansion, types, and timezone handling. - [Expanding JSON Filter](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/expanding-json-filter.md): Learn how to use the Expand JSON filter to transform JSON objects into separate columns, extracting specific data from complex JSON structures in your dataset. - [Explode_json_columns Output Filter Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/explode_json_columns-output-filter-function.md): Learn how to use the explode_json_columns output filter function to expand JSON columns into multiple columns in Treasure AI's data integration process. - [Handling Timezone of Timestamp Type Data by Column_options Filter Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/handling-timezone-of-timestamp-type-data-by-column_options-filter-function.md): Learn how to handle timestamp data timezone using the column_options filter function in Treasure AI, with specific configuration for input data parsing. - [Hash Filter Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/hash-filter-function.md): Learn how to apply MD5, SHA-1, and SHA-256 hashing algorithms to specific columns using the hash filter function in Treasure AI's Data Connectors. - [Import Integrations Filters for Amazon S3 FTP and SFTP](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/import-integrations-filters-for-amazon-s3-ftp-and-sftp.md): Learn how to use import integration filters for Amazon S3, FTP, and SFTP to modify data structure, add time columns, mask sensitive info, and optimize data imports. - [Parsing Column With JSON Format Into Multiple Columns](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/parsing-column-with-json-format-into-multiple-columns.md): Learn how to parse JSON-formatted columns into multiple columns using Treasure CLI's expand_json filter for seamless data import and transformation. - [Remove_columns Filter Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/remove_columns-filter-function.md): Remove unnecessary columns during data import with Treasure Data's remove_columns filter function, allowing selective column exclusion in load.yml configuration for streamlined data processing. - [Rename Filter Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/rename-filter-function.md): Learn how to use the Rename Filter Function in Treasure AI's Data Connector to efficiently rename column names with flexible rules and options. - [Retaining Columns Filter](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/filter/retaining-columns-filter.md): Learn how to use the Retain Columns filter to selectively import specific columns from large datasets, keeping only the data your team needs. - [Avro Parser Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/parser/avro-parser-function.md): Learn how to use the Avro parser function in Treasure AI for parsing binary Avro files across multiple cloud storage and file transfer integrations. - [CSV Parser Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/parser/csv-parser-function.md): Comprehensive guide to Treasure AI's CSV parser function with 15 configuration options for parsing and handling CSV data imports. - [JSON Parser](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/parser/json-parser.md): JSON parser plugin for Treasure Data's data connectors, offering flexible parsing options for JSON data including record validation, string escapes, array handling, and column mapping. - [Messagepack Parser Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/parser/messagepack-parser-filter-function.md): Learn how to configure the Messagepack parser plugin in Treasure Data's Data Connector, with options for row and file encoding, column types, and data parsing. - [Query String Parser Function](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/parser/query-string-parser-filter-function.md): Learn how to use the Query String Parser Function to transform query string data into structured key-value pairs with configurable parsing and column options. - [Supported Values for Charset Option in CSV Parser](https://docs.treasure.ai/products/customer-data-platform/integration-hub/batch/import/parser/supported-values-for-charset-option-in-csv-parser.md): Comprehensive list of character encodings supported by the CSV Parser, including Big5, EUC-JP, GB18030, and other international character sets for data import. - [Treasure AI Android SDK Quickstart](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/mobile/android.md) - [TD Cordova SDK API Reference](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/mobile/cordova/api.md): Comprehensive Cordova SDK API reference for Treasure AI, covering setup, configuration, and event tracking for mobile app data integration. - [Treasure AI Android and iOS SDKs Cordova Plugin](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/mobile/cordova.md): Comprehensive Cordova plugin for Treasure AI Mobile SDK, enabling easy event tracking and data collection for iOS and Android hybrid mobile applications. - [Treasure AI iOS SDK Quickstart](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/mobile/ios.md) - [TD React Native SDK API Reference](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/mobile/react-native/api.md): Comprehensive API reference for Treasure Data's React Native SDK, covering setup, configuration, and data ingestion methods for mobile app tracking and analytics. - [React Native SDK Quickstart](https://docs.treasure.ai/products/customer-data-platform/integration-hub/streaming/mobile/react-native/quickstart.md): Quick guide to integrating the Treasure AI React Native SDK, covering installation, initialization, and event tracking for mobile app analytics. - [Apparel Showcase Flex Message Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/flex-templates/apparel.md): LINE Flex Message JSON template for apparel product promotion with carousel layout, pricing, and per-item CTAs in Engage Studio. - [Coupon Notification Flex Message Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/flex-templates/coupon-notification.md): LINE Flex Message JSON template for sending a personalized coupon notification with hero image, coupon code, and shop-now button in Engage Studio. - [Hotel Reservation Flex Message Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/flex-templates/hotel.md): LINE Flex Message JSON template for hotel reservation confirmations with check-in/out dates, room type, and confirmation CTA. - [Local Search Results Flex Message Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/flex-templates/local-search.md): LINE Flex Message JSON template for location-based search results with ratings, thumbnails, and deep links in Engage Studio. - [Menu Flex Message Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/flex-templates/menu.md): LINE Flex Message JSON template for restaurant or shop menu with hero image and ordering CTA in Engage Studio. - [Real Estate Listing Flex Message Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/flex-templates/real-estate.md): LINE Flex Message JSON template for real-estate property listings with price, specs, and contact CTA in Engage Studio. - [Receipt Flex Message Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/flex-templates/receipt.md): LINE Flex Message JSON template for post-purchase receipts showing items, subtotals, taxes, and total in Engage Studio. - [Restaurant Recommendation Flex Message Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/flex-templates/restaurant.md): LINE Flex Message JSON template for restaurant recommendations with hero image, rating, genre, and reservation CTA in Engage Studio. - [Shopping Carousel Flex Message Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/flex-templates/shopping.md): LINE Flex Message JSON template for a multi-product shopping carousel with pricing and add-to-cart actions in Engage Studio. - [Social Post Flex Message Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/flex-templates/social.md): LINE Flex Message JSON template mimicking a social-media post with avatar, body, and reactions in Engage Studio. - [Event Ticket Flex Message Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/flex-templates/ticket.md): LINE Flex Message JSON template for event tickets with date, seat info, and check-in CTA in Engage Studio. - [TODO List Flex Message Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/flex-templates/todo-app.md): LINE Flex Message JSON template for a TODO list carousel with item statuses and update actions in Engage Studio. - [Transit Trip Flex Message Template](https://docs.treasure.ai/products/marketing-cloud/engage-studio/channels/line/flex-templates/transit.md): LINE Flex Message JSON template for a transit itinerary with departure/arrival, transfers, and fare totals in Engage Studio. - [ポリシーベースのワークフロー権限](https://docs.treasure.ai/ja/products/control-panel/security/policies/workflow-permissions.md): Treasure ConsoleおよびAPIからグローバルレベルおよびプロジェクトレベルでワークフロー権限を設定する方法について説明します。 - [ワークフロー権限マトリックス](https://docs.treasure.ai/ja/products/control-panel/security/policies/workflow-permissions/workflow-permissions-matrix.md): Treasure ワークフロー にアクセスして作業するには、アカウント管理者または所有者から権限を付与される必要があります。 - [Creating a New Folder](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/folder/creating-a-new-folder.md): Audience Studioでセグメントを整理するための新しいフォルダーの作成方法を解説。効率的なアセット管理のためのステップバイステップガイド。 - [Folder Based Permissions](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/folder/folder-based-permissions.md): Audience Studioのフォルダーベース権限設定方法と、セキュリティポリシーの管理について詳しく解説します。管理者がセグメントフォルダーへのアクセス権を簡単に制御できる機能を紹介します。 - [フォルダーダッシュボードの概要](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/folder/folder-dashboard-overview.md): フォルダーダッシュボードを使用して、合計プロファイルと成長率を分析し、セグメントプロファイルを比較する方法について説明します。 - [Folders Overview](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/folder.md): Audience Studioのフォルダー機能について、セグメントの整理、ダッシュボード、アセット、プロファイル管理の仕組みを解説する概要ページです。 - [Segment Insights用のウィジェットの設定](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/insights/configuring-widgets-for-segment-insights.md): Segment Insightsウィジェットで利用可能な8種類のチャートタイプ（円グラフ、ヒストグラム、インジケーターなど）の設定方法を説明します。 - [Segment Insightsダッシュボードの削除](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/insights/deleting-a-segment-insights-dashboard.md): Audience StudioでSegment Insightsダッシュボードを削除し、デフォルトダッシュボードを再割り当てする方法を説明します。 - [新しいSegment Insightsダッシュボードの作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/insights/creating-a-new-segment-insights-dashboard.md): Audience Studioで最大10個のウィジェットを持つ新しいSegment Insightsダッシュボードを作成し公開する方法を説明します。 - [Segment Insightsダッシュボードのウィジェットの削除](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/insights/deleting-widgets-in-your-segment-insights-dashboard.md): Audience StudioでSegment Insightsダッシュボードからウィジェットを削除する方法を説明します。 - [Segment Insightsダッシュボードの編集](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/insights/editing-a-segment-insights-dashboard.md): Audience Studioで既存のSegment Insightsダッシュボードを編集し、ウィジェットを更新する方法を説明します。 - [Segment Insightsダッシュボードウィジェットの整理](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/insights/organizing-segment-insights-dashboard-widgets.md): Segment Insightsダッシュボードのウィジェットのレイアウトと順序を変更する方法を説明します。 - [Segment Insightsダッシュボード概要](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/insights.md): Audience Studioのカスタマイズ可能なダッシュボードとウィジェットでセグメントメトリクスを可視化し、オーディエンスの構成と分布を把握します。 - [Segment Insights設定エラーのトラブルシューティング](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/insights/troubleshooting-segment-insights-configuration-errors.md): レンダリングの失敗、ウィジェットの値の欠落、権限の問題など、一般的なSegment Insightsエラーを解決します。 - [Segment InsightsダッシュボードでのSegmentの使用](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/insights/using-a-segment-in-a-segment-insights-dashboards.md): バッチセグメントを開いてSegment EditorでSegment Insightsダッシュボードを可視化する方法を説明します。 - [配列演算子](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/rule-operator/array-operators.md): Audience Studioの配列演算子について、プロファイルのルール作成に使用する複数値フィールドの検索と選択方法を詳しく解説します。 - [行動集約ルール](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/rule-operator/behavior-aggregation-rules.md): Audience Studioの行動集約ルールについて、Count、Average、Sum、Minなどの集約関数を使用したセグメント作成方法を解説します。 - [複数のルールセットにおけるビヘイビアフィルター](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/rule-operator/behavior-filters-in-multiple-rule-sets.md): Audience Studioで複数のルールセットを使用したビヘイビアフィルターの高度な設定方法を解説。異なるイベント間での柔軟なセグメント作成と、同一ビヘイビアフィールドの複数インスタンス活用を詳しく説明します。 - [REST APIを使用した時間ベースのカラムフィルタの作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/rule-operator/creating-a-time-based-column-filter-using-a-rest-api.md): Treasure AI Audience Studioで、REST APIを使用してUnix時間カラムをタイムスタンプに変換する手順を詳細に解説します。 - [Treasure コンソールでの時間ベースのカラムフィルターの作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/rule-operator/creating-a-time-based-column-filter-in-td-console.md): Treasure コンソールでUnix時間カラムをtimestamp型に変換する方法を解説。セグメントエディターでのカラム設定と時間ベースのフィルタリング手順を詳しく説明します。 - [時間ベースのカラムフィルターの作成](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/rule-operator/creating-a-time-based-column-filter.md): Audience Studioで時間ベースのカラムフィルターを作成する方法を解説。Unix時間のカラムをtimestamp型に変換し、時間関連のオペレーターを使用する手順を説明します。 - [セグメントルール用の行動および属性カラムのカスタマイズ](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/rule-operator/customizing-behavior-and-attribute-columns-for-segment-rules.md): Treasure AIのセグメントルールで、タイムスタンプオペレーターを使用して行動および属性カラムをカスタマイズする方法を解説します。 - [Match Logic Any 詳細例](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/rule-operator/match-logic-any-advanced-example.md): Audience Studioのマッチロジックの詳細な使用例を解説。ANYとADVANCEDのルールを使った属性と行動データの関係を具体的に説明します。 - [セグメントエディターのマッチロジックルールとエラー](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/rule-operator/match-logic-rules-and-errors-for-segment-editor.md): Audience Studioのセグメントエディターで、「All」「Any」「Advanced」の3つのマッチロジックを使用してセグメントルールを作成する方法を解説します。 - [ルールオペレータークイックスタートリファレンス](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/rule-operator/rule-operator-quick-start-reference.md): Audience Studioのセグメントルールで使用できる主要なルールオペレーターの概要と使用方法を解説する実践的なリファレンスガイド - [ルールオペレーター](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/rule-operator/rule-operators.md): Audience Studioのルールオペレーターを詳しく解説。セグメント分割の方法、配列、タイムスタンプ、行動集計ルールについて説明します。 - [Audience Studioのタイムスタンプ演算子](https://docs.treasure.ai/ja/products/customer-data-platform/audience-studio/segment/rule-operator/timestamp-operators-in-audience-studio.md): Audience Studioのタイムスタンプ演算子を使用して、マーケティングセグメントを正確に絞り込む方法を解説します。相対的・固定的な時間フィルタリングを学べます。 - [Presto 0.188から0.205への移行 2018](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/archives/presto-0-188-to-0-205-migration-2018.md): Presto 0.188から0.205への移行に関する技術的な詳細と、アップグレード時の注意点、新機能、SQLの変更点を解説する技術文書です。 - [Presto 0 205から317へのマイグレーション 2020](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/archives/presto-0-205-to-317-migration-2020.md): Treasure AIのPresto 0.205から317へのマイグレーションガイド。新機能、非推奨機能、クエリ構文の変更、移行時の注意点を解説。 - [0.189から0.205の間に追加されたPrestoの関数と機能(2018年)](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/archives/presto-functions-and-features-added-between-0-189-and-0-205-2018.md): 2018年に0.189から0.205の間で追加されたPrestoの新しい関数と機能を詳細に解説。ラムダ式、集約関数、地理空間関数の拡張について解説。 - [アクセス頻度の例](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/examples/access-frequency-example.md): Treasure AI Audience Studioでユーザーのアクセス頻度を分析するSQLクエリ例を紹介。エンゲージメント分布を理解するための実践的なサンプルコードを解説。 - [ページビューのクエリ例](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/examples/page-view-example.md): Webサイトのページビュー数を日別に集計するHiveとTrinoのSQLクエリ例を解説します。アクセス解析に役立つサンプルコードを紹介。 - [スケジュールされたジョブの自動エラー通知](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/scheduled/automatic-error-notification-for-scheduled-jobs.md): スケジュールされたジョブのエラー通知について、自動メール送信の仕組みと通知の種類を解説します。Treasure AIのジョブ管理機能を理解できます。 - [スケジュールされたクエリのSQL例](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/scheduled/sql-examples-of-scheduled-queries.md): Treasure AIのスケ上級ユーrーザー向け、に、スケジ、ジュされた日クエリ用リのSQL例例と設定方、法を詳細に解解説します。 - [クエリのスケジュール設定](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/scheduled/scheduling-a-query.md): Treasure AIでクエリを日次、時間単位、またはカスタムのスケジュールで自動実行する方法を解説します。タイムゾーンや遅延オプションの設定方法も詳しく説明します。 - [HiveのCREATE TABLE文の構文](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/sql-reference/create_table.md): 新しいテーブルを定義するSQL CREATE TABLE文の構文、サポートされるデータ型、テーブルプロパティ、制限事項を詳しく解説します。 - [DELETE文の構文](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/sql-reference/delete_statement.md): Treasure AIのクエリエンジンで使用するDELETE文の構文と使用方法を詳しく解説。テーブルからデータを安全に削除する方法と注意点を説明します。 - [UPDATE文の構文](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/sql-reference/update_statement.md): Treasure AIのクエリエンジンで使用するUPDATE文の構文と使用方法を詳しく解説。テーブルの行を安全に更新する方法と注意点を説明します。 - [ワークフローへのカスタムPythonスクリプトの追加](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/adding-a-custom-python-script-to-your-workflow.md): Pythonオペレーター（py>:）を使用して、Treasure ワークフローからPythonスクリプトを実行できます。 - [カスタムスクリプトIPアドレスの設定](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/configuring-custom-script-ip-addresses.md): Treasure ワークフローでカスタムスクリプトを使用する場合、Treasure AIが必要とするIPアドレスがファイアウォールでホワイトリストに登録されていることを確認する必要がある場合があります。 - [カスタムスクリプトの例](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/custom-scripting-examples.md): カスタムスクリプトの例 - [カスタムスクリプトDockerイメージのバージョニング](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/custom-scripts-docker-image-versioning.md): カスタムスクリプトDockerイメージのバージョニング - [Custom Scripts Dockerイメージ](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/custom-scripts-docker-images.md): Treasure ワークフローのCustom Scriptsで使用可能なDockerイメージとインストール済みライブラリの一覧です。 - [住宅価格予測のための scikit-learn と Hivemall を使用した特徴選択](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/feature-selection-with-scikit-learn-and-hivemall-for-house-price-prediction.md): Treasure ワークフロー は、Linear Regression 予測器を使用して、価格やエネルギー消費量などの連続値を予測する簡単な方法を提供します。 - [カスタムスクリプトの概要](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript.md): Treasure ワークフロー内で隔離されたDockerコンテナ上でPythonスクリプトを実行し、カスタムロジックの柔軟性を向上させます。 - [カスタムスクリプトでシークレットを使用する方法](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/how-to-use-secrets-in-custom-scripts.md): Treasure AIでは、シークレット情報を環境変数内に隠すことをお勧めします。 - [Pythonカスタムスクリプトの例](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/python-custom-scripting-example.md): Pythonスクリプトは、Pythonオペレーター`py>`を使用してTreasure ワークフローまたはDigdagから実行できます。 - [Treasure ワークフロー で使用するカスタムスクリプトへのパラメータの受け渡し](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/passing-parameters-to-custom-scripts-used-in-td-workflow.md): _env を使用して、環境変数でパラメータと認証情報をカスタムスクリプトに渡すことができます。 - [TensorFlowによる感情分析](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/sentiment-analysis-with-tensorflow.md): TensorFlowによる感情分析 - [Prophet を使用した売上予測のための時系列分析の例](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/time-series-analysis-for-sales-prediction-with-prophet-examples.md): Treasure ワークフロー は、Facebook Prophet を使用して、売上収益やページビューなどの時系列値の予測を提供します。 - [Workflow pyオペレータ構文リファレンス](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/workflow-py-operator-syntax-reference.md): Treasure ワークフローは、Treasure ワークフロー内の他のコマンドオペレータによってトリガーされるカスタムスクリプトを実行するためのPythonオペレータをサポートしています - [カスタムスクリプトでのmemory_profilerの使用](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/using-memory_profiler-on-custom-scripts.md): カスタムスクリプトでのmemory_profilerの使用 - [アテンプトのキューイング](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/pool/attempt-queueing.md): プールの並行実行数の上限に達したときに Treasure Workflow のアテンプトがキューに入るのか拒否されるのか、プールごとの待機アテンプト上限とキューイングのマトリックスを学びます。 - [プールについて](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/pool.md): プールを使用して Treasure Workflow のアテンプトのグループごとに個別の並行実行数の上限を割り当て、大量のワークフローが他のワークフローの実行を妨げないようにします。 - [プールを管理する](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/pool/managing-pools.md): Treasure Workflow API を通じて Treasure Workflow のプールの作成、一覧表示、更新、削除を行います。デフォルトプールの並行実行数の上限が自動的に調整される仕組みも解説します。 - [プールルールを管理する](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/pool/managing-pool-rules.md): プロジェクト名、ワークフロー名、ワークフロータイプ、または起動タイプを使って、各アテンプトをどの Treasure Workflow のプールに割り当てるかを決定するプールルールを記述します。 - [プールのユースケース](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/pool/use-cases.md): 重要なワークフローのためにスロットを確保したり、問題のあるワークフローを隔離したりするために、 Treasure Workflow のプールとプールルールを組み合わせる 2 つの実例です。 - [Export Integration について](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/export/about-export-integration.md): Treasure AI の Export Integration を使用して、顧客データを簡単にサードパーティツールにエクスポートする方法を説明します。Data Workbenchやオーディエンスセグメントのアクティベーションに対応。 - [Bulk Export サーバーサイド暗号化サポート](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/export/bulk-export-server-side-encryption-support.md): Treasure AIの Bulk Export機能で、サーバーサイド暗号化を使用してデータを安全にエクスポートする方法を解説します。暗号化オプションと設定方法を詳しく説明。 - [Destination Integration の作成](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/export/creating-a-destination-integration.md): Treasure AI Integration Hubを使用して、Google SheetsやMicrosoft Power BIなどのアプリケーションにデータをエクスポートするDestination Integrationを作成する手順を説明します。 - [Export Integration を使用した結果のエクスポート](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/export/exporting-results-using-export-integration.md): Treasure AIでクエリ結果を他のアプリケーションにエクスポートする方法を解説。データ接続の作成から結果エクスポートまでの手順を詳しく説明します。 - [Amazon S3 バケットへの Bulk Export の使用](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/export/using-bulk-export-to-amazon-s3-bucket.md): Treasure AIの Bulk Export機能を使用して、Amazon S3バケットにデータをエクスポートする方法と注意点を解説します。リージョンや制限事項、必要な権限について詳しく説明します。 - [データエクスポートのためのフィルター関数の使用](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/export/using-filter-functions-for-data-export.md): Treasure AIでのデータエクスポート時に、フィルター関数を使用してデータをカスタマイズし、特定の条件に基づいて効率的にフィルタリングする方法を解説します。 - [Mobile Tracking と Mobile SDK について](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/mobile/about-mobile-tracking-and-mobile-sdks.md): Treasure AIの Mobile SDKを使用して、Android、iOS、Unity、Unreal向けのアプリデータ追跡と送信を簡単に行う方法を解説します。イベント管理、暗号化、圧縮機能を紹介。 - [App Tracking Integration のオプション](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/mobile/app-tracking-integration-options.md): Treasure AIのアプリトラッキング統合オプションを解説。モバイルアプリのイベント収集と分析に関する多様な方法を紹介します。 - [TD Android および iOS SDK 用 Cordova Plugin](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/mobile/cordova-plugin-for-td-android-and-ios-sdks.md): Cordova用のTreasure AI Mobile SDKプラグインについて、iOSおよびAndroidアプリでのイベントトラッキング方法を解説します。 - [Mobile Tracking](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/mobile/mobile-tracking.md): モバイルデバイスでのカスタマーデータ収集に最適なTreasure AI Mobile SDKの概要と導入ガイド - [Support Policy for Mobile SDK OS Version Coverage](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/mobile/product-support-policy-for-mobile-sdk-os-version-coverage.md): Treasure AI Mobile SDKのOSバージョンサポートポリシーについて、Android・iOS向けの最新サポート状況と互換性ガイドラインを解説 - [Xsub Treasure AI iOS SDK Update for iOS SDK 13 0 or Later](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/mobile/xsub-treasure-data-ios-sdk-update-for-ios-sdk-13-0-or-later.md): Treasure AI iOS SDK 13.0以降のアップデートについて、MD5関数の非推奨と新しいハッシュ関数への移行に関する重要な情報を提供します。 - [Mobile SDK Tutorial for Beginners](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/mobile/mobile-sdk-tutorial-for-beginners.md): Treasure AI Mobile SDKの初心者向けチュートリアル。AndroidとiOSのサンプルプロジェクトを使用して、SDKの導入と基本的な設定方法を解説します。 - [データプレビューについて](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/about-data-preview.md): Treasure AIのデータプレビュー機能について、データ取り込み前の確認方法と注意点を解説します。プレビューの特性と限界を理解するためのガイド。 - [Treasure ワークフローを使用した増分データImportについて](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/about-incremental-data-import-using-td-workflow.md): Treasure ワークフローを使用した増分データImportの仕組みと、大規模データセットを効率的に取り込む2つのアプローチを詳しく解説します。 - [バルクデータインポート](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/bulk-data-import.md): Embulkを使用して、AWS S3、Google Sheets、MySQLなどのソースコネクタからTreasure AIに大規模データセットをインポートします。 - [既存のAuthenticationから新しいSourceを作成する](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/creating-a-new-source-from-an-existing-authentication.md): 既存の認証情報(Authentication)を使用して、新しいデータソースを作成する手順を説明します。 - [新しいData Sourceの作成](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/creating-a-new-data-source.md): Treasure AIのデータソース作成方法を解説。Integrations Hubでソースタイプを選択し、認証情報、転送設定、スケジュールを簡単に構成できます。 - [Data Import のキャンセル](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/canceling-data-import.md): Treasure AI Integration Hubで、Data ConnectorとJobsページを使用してData Importをキャンセルする2つの方法を解説します。スケジュール編集や実行中のジョブ停止の手順を詳しく説明します。 - [データ設定の編集](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/editing-data-settings.md): Treasure AIのデータソース設定を編集する方法を解説。デコーダー、パーサー、再試行設定などの詳細な設定方法を紹介します。 - [データインポートエラーのトラブルシューティング](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/data-import-error-troubleshooting.md): Treasure AIのデータインポートエラーのトラブルシューティング方法を解説。ジョブログからエラーの原因と対象ファイルを特定する手順を詳しく説明します。 - [Importing Table Records Using The Data Ingestion Api](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/importing-table-records-using-the-data-ingestion-api.md): Treasure AIのデータ取り込みAPIを使用して、バッチでテーブルレコードを効率的にインポートする方法を詳しく解説します。データ連携と一括取り込みのプロセスを説明。 - [バッチインポート](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import.md): CSV/TSVアップロード、インテグレーションコネクタ、Embulkバルクインポート、TD Toolbelt CLIを使用して、Treasure AIに履歴データやスケジュール増分データをインポートします。 - [ソースデータのプレビュー](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/previewing-your-source-data.md): Treasure AIのソースデータプレビュー方法を解説。データコネクターからサンプルデータを確認し、インポート前の事前検証を行う手順を紹介します。 - [ソースの検索](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/searching-sources.md): データ接続ソースを Owner、Integration Type、Authentication でフィルタリングして検索できます。 - [データインポートのスケジューリング](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/data-import-scheduling.md): Treasure AIのデータインポートスケジューリング方法を解説。定期的なデータ収集の設定、タイムゾーン、cronスケジュールなどの詳細を説明します。 - [データプレビューのスキップ](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/skipping-data-preview.md): 一部のデータソースでは、データプレビューをスキップできます。 - [Bulk Importでの環境変数の使用](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/using-environment-variables-with-bulk-import.md): Embulk設定ファイルに接続詳細を含めることが理想的でないことがあります。特定の詳細を隠したりマスクしたりする必要がある状況では、設定ファイルに環境変数を埋め込むことができます。 - [データプレビューの操作](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/working-with-data-preview.md): Treasure AIのデータコネクターにおけるデータプレビュー機能の使用方法と、ソースインテグレーションでのデータスキーマ推測について解説します。 - [Data Placementの使用](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/working-with-data-placement.md): Treasure AIのデータインポート設定における、Data Placementの使用方法を解説。databaseとtableの選択、データの追加・置換方法、パーティションキーの設定を詳しく説明します。 - [Sourceの操作](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/working-with-sources.md): Treasure AIでデータソースを統合し、安全に接続する方法を解説。Sourcesセクションでのデータソース管理と認証プロファイルの設定について説明します。 - [ソース情報の操作](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/working-with-source-information.md): Treasure AIでソース情報を操作する方法を解説。データソースの定義、フィルタリング、増分ロードなど、ソース設定の詳細な編集手順を紹介します。 - [JavaScript SDK Version 3.1について](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/about-javascript-sdk-version-3-1.md): Treasure AI JavaScript SDK v3.1の新機能、セキュリティ強化、エンドポイント変更、ログパラメータについて詳しく解説する技術文書です。 - [データ収集のスケジューリング](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/scheduling-data-collection.md): データ収集（データインポートとも呼ばれる）は、新しいデータソースを定義する際、または後でデータソースを編集することでスケジュールできます。 - [TD JavaScript SDK Version 3.0について](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/about-the-td-javascript-sdk-version-3-0.md): Treasure AI 向け のウェ ブサイト分析 用JavaScript SDKの最新 ージョン 3 について、セキ ュリティとリアルタをタイ ム機能 の詳 細 を 説明 - [TD JavaScript SDK Version 4.2.1への移行について](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/about-migrating-to-td-javascript-sdk-version-4-2-1.md): Treasure AI JavaScript SDKのバージョン4.2.1への移行ガイド。新しいingest endpointや変更点、ユーザーエージェント解析の方法を解説します。 - [追跡したいページへのTD JavaScriptの追加](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/adding-the-td-javascript-to-the-page-you-want-to-track.md): Treasure AI JavaScript SDKをウェブページに追加し、イベント追跡を開始する方法を解説する技術文書ページの説明です。 - [Treasure AIとCookie Trackingについて](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/about-treasure-data-and-cookie-tracking.md): Treasure AIのCookie Trackingに関する技術的変更と、AppleのIntelligent Tracking Prevention (ITP)がウェブ分析とユーザー追跡に与える影響について解説します。 - [JavaScript SDKでのAnonymous Visitor ID](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/anonymous-visitor-ids-with-javascript-sdk.md): JavaScript SDKでAnonymous Visitor IDを管理する方法を解説。First-Party/Third-Party Cookieの仕組みと、td_client_idとtd_global_idの取得方法を詳しく説明します。 - [3rd Party CookieをサポートするBrowserとTD JavaScript SDK](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/browsers-that-support-3rd-party-cookies-and-td-javascript-sdk.md): サードパーティCookieをサポートするブラウザとTD JavaScript SDKの互換性について、詳細な対応表と注意点を解説します。 - [JavaScript SDKでのCross Domain Trackingの有効化](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/enabling-cross-domain-tracking-with-javascript-sdk.md): JavaScript SDKでのCross Domain Trackingの設定方法を解説。3rd party cookieを使用した複数ドメイン間でのユーザー追跡の有効化と実装手順を説明します。 - [JavaScript SDKでのClick Tracking](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/click-tracking-with-javascript-sdk.md): Treasure AI JavaScript SDKを使用したクリックトラッキングの方法を解説。外部サイトへのリンクのクリックを追跡し、ページビューデータを収集する技術的なガイド。 - [TrackingとTD JavaScript SDKの開始](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/getting-started-with-tracking-and-the-td-javascript-sdk.md): Treasure AI JavaScript SDKを使用してウェブサイトでイベントトラッキングを開始する方法を解説。データベース作成、SDKのインストール、イベント送信の手順を詳しく説明します。 - [Website Trackingの開始](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/getting-started-with-website-tracking.md): Treasure AI JavaScript SDKを使用したウェブサイトトラッキングの基本設定と、顧客データを簡単に収集する方法を説明します。セットアップ手順と注意点を紹介します。 - [Tealium Iq Tag ManagementでのTD JS SDKのセットアップ方法](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/how-to-set-up-td-js-sdk-in-tealium-iq-tag-management.md): Tealium IQでTreasure AI JS SDKを簡単にセットアップする手順を解説。前提条件、ログイン方法、拡張機能の作成と公開について詳しく説明します。 - [Cookieを使用したユーザー識別](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/identifying-users-with-cookies.md): Treasure AIのクッキーを使用したユーザー識別方法と、パーソナライゼーションのためのプライバシー対応アプローチを解説します。 - [Adobe LaunchとのJavaScript SDKの統合](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/integrating-javascript-sdk-with-adobe-launch.md): Adobe LaunchでTreasure AI JavaScript SDKを統合し、カスタムイベントとデータ収集を設定する方法を解説します。 - [JavaScript SDKでのKnown Visitor ID](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/known-visitor-ids-with-javascript-sdk.md): Treasure AI JavaScript SDKを使用して、Webサイトトラッキングにknown visitor IDを追加する方法を解説します。emailやuser_idの設定、暗号化オプションについて詳しく説明します。 - [Web Trackingの紹介](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/introduction-to-web-tracking.md): Treasure AIのウェブトラッキング技術を解説。cookieの仕組みや、JavaScript SDKを使用したユーザー行動の追跡方法を詳しく説明します。 - [TD JS SDK 4 0への移行](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/migrating-to-td-js-sdk-4-0.md): Treasure AI JS SDK 4.0への移行手順を解説。新しいingest endpointの設定方法と、ユーザーエージェント情報の取得方法について詳しく説明します。 - [Google Display Video 360での未知のVisitorのRetargeting](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/retargeting-unknown-visitors-with-google-display-video-360.md): Google Display Video 360で未知の訪問者をリターゲティングするためのCookie同期方法を解説する技術文書です。 - [JS SDKでのThird Party Conversion Tagsの収集](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/third-party-conversion-tags-collecting-with-js-sdk.md): Treasure AI JS SDKを使用して、サードパーティのコンバージョンタグを収集し、マーケティングプラットフォームへのイベント統合を可能にする方法を解説します。 - [WebサイトでのServer-Side First Party Cookieのtracking](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/tracking-server-side-first-party-cookies-on-your-website.md): Treasure AI JavaScript SDKを使用してウェブサイトでServer-Side First Party Cookieを設定し、ユーザートラッキングを行う方法を詳細に解説します。 - [Treasure AI JavaScript SDK Version 2 5 0のバージョン更新概要](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/treasure-data-javascript-sdk-version-2-5-0-version-update-summaries.md): Treasure AI JavaScript SDK Version 2.5.0の更新内容と新機能、特にコンセントマネジメント拡張機能について詳しく解説します。 - [Treasure AI JavaScript SDK Version 3 0のデフォルトログパラメータ](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/treasure-data-javascript-sdk-version-3-0-default-log-parameters.md): Treasure AI JavaScript SDK 3.0のデフォルトログパラメータを詳細に解説。追跡される情報と各パラメータの機能を網羅的に説明します。 - [Treasure AI JavaScript SDK Version 3の移行](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/treasure-data-javascript-sdk-version-3-migration.md): Treasure AI JavaScript SDK Version 3への移行手順と、必要なコード変更について詳しく解説します。 - [JavaScript SDK Build Scriptの使用](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/using-the-javascript-sdk-build-script.md): Treasure AI JavaScript SDKのbuild scriptを使用して、SDKの設定とカスタマイズを行う方法を解説する技術文書です。 - [TD JavaScript Consent Extension の使用](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/using-td-javascript-consent-extension.md): Treasure AI JavaScript Consent Extensionを使用して、Webサイト訪問者のデータ収集に関する同意設定を管理する方法を説明します。consent管理のコンテキストと設定をカスタマイズできます。 - [TD JavaScript Consent UI Add onの使用](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/using-the-td-javascript-consent-ui-add-on.md): TD JavaScript SDK用のコンセント管理UIアドオンの設定と使用方法を詳しく解説。cookieバナーとコンセント設定のカスタマイズ方法を紹介します。 - [Google CrawlerのWeb Crawlerアクセス](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/web-crawler-accesses-for-google-crawlers.md): Google CrawlerのWeb Crawlerアクセスについて、Treasure AI JavaScript SDKでのクローラー識別と追跡方法を解説します。 - [Google Tag Managerを使用したSingle Page ApplicationサイトのWeb Tracking](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/web-tracking-for-single-page-application-sites-using-google-tag-manager.md): Google Tag ManagerとTreasure AI JavaScript SDKを使用して、Single Page Applicationサイトでページビューをトラッキングする方法を解説します。SPAのロードとページ遷移に対応したWeb計測の実装手法を詳しく説明します。 - [Web Tracking Integrationオプション](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/web-tracking-integration-options.md): Treasure AIのWeb tracking統合オプションを詳しく解説。Google Tag Manager、Adobe Launch、Marketo Formsなど、多様なインポート方法を紹介します。 - [TD JavaScript SDKを使用したWeb Trackingのチュートリアル](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/web-tracking-using-the-td-javascript-sdk-tutorial.md): Treasure AI JavaScript SDKを使用したWeb行動追跡の包括的チュートリアル。サイトタグの実装、データ収集、CDPでの活用方法を詳しく解説します。 - [Cookie Consentを使用したJavaScriptでのWeb Tracking](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/web-tracking-with-javascript-using-cookie-consent.md): Cookie Consentを使用したWeb Trackingの設定方法を解説。GDPRに準拠しながら、ユーザー同意に基づいたデータ収集の実装手順を紹介します。 - [Osano Cookie Consentを使用したJavaScriptでのWeb Tracking](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/web-tracking-with-javascript-using-osano-cookie-consent.md): Osanoを使用したJavaScriptによるWeb Trackingの設定方法を解説。プライバシー法に準拠したcookie consentの実装手順を紹介します。 - [JS SDKの使用](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/working-with-the-js-sdk.md): Treasure AI JS SDKを使用してウェブサイトのユーザー追跡とデータ収集を行う方法を解説。first-party cookieの設定や実装手順を詳しく説明します。 - [Treasure AIサーバーサイドエージェントについて](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/about-treasure-data-s-server-side-agent.md): Treasure AIのサーバーサイドエージェントであるtd-agentについて、データ収集とインポートの仕組みを解説する技術文書です。 - [ストリーミングログデータのキャプチャ](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/capturing-streaming-log-data.md): Treasure AIのtd-agentを使用してサーバーからストリーミングログデータをキャプチャする方法と設定手順を解説します。 - [データアップロードの確認](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/confirming-data-upload.md): Treasure AIのTD-Agentを使用したデータアップロードの確認方法を解説。HTTPログ送信、アップロード検証、トラブルシューティングの手順を紹介します。 - [高可用性のためのTD Agentの設定](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/configuring-td-agent-for-high-availability.md): 高トラフィックサイト向けのTD Agentの高可用性設定方法。ログフォワーダーとアグリゲーターの構成、障害対策、メッセージ配信のセマンティクスを解説。 - [AWS LinuxへのTD Agentのインストール](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/installing-td-agent-on-aws-linux.md): AWS LinuxでTreasure AI (td-agent)をインストールする手順と、異なるバージョンのLinuxプラットフォームに対応するインストールスクリプトを詳しく解説します。 - [Macos XへのTD Agentのインストール](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/installing-td-agent-on-macos-x.md): MacOS XにTreasure Agent (td-agent)をインストールする手順を解説。.dmgパッケージを使用したインストール、起動、設定、サンプルログ投稿の方法を詳しく説明します。 - [RhelおよびCentosへのTD Agentのインストール](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/installing-td-agent-on-rhel-and-centos.md): RHELおよびCentOSでTd-agentをインストールする手順と、異なるバージョンのインストール方法を詳しく解説するドキュメントページです。 - [TD Agentのインストール](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/installing-td-agent.md): TD Agentのインストール方法を、RHEL、CentOS、AWS Linux、Ubuntu、Debian、MacOS Xなど、各プラットフォーム向けに解説します。 - [UbuntuおよびDebianへのTD Agentのインストール](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/installing-td-agent-on-ubuntu-and-debian.md): UbuntuとDebianへのTD Agentのインストール方法を詳しく解説。64ビット環境での最新バージョンのインストール手順と注意点を紹介します。 - [Treasure Agentのインストール](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/installing-treasure-agent.md): Treasure Agentのインストール方法と、Fluentdを使用したデータ収集の基本的な手順を解説する技術ドキュメントページです。 - [TD Agentの監視](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/monitoring-td-agent.md): TD Agentの監視方法を解説。メトリクス収集、HTTP監視、Prometheus連携など、システム管理に役立つ監視テクニックを紹介 - [ログキャプチャオプション](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/log-capture-options.md): Treasure AIのtd-agentを使用した、多様なアプリケーションとプラットフォーム向けのログキャプチャオプションと統合方法を解説 - [TD Agentを使用したログの保存と収集](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/storing-and-collecting-logs-with-td-agent.md): TD Agentを使用したログの保存、収集、転送方法を解説。Treasure AIへのログ送信や、さまざまなプロトコルによるログ管理の詳細を紹介。 - [HTTPプロトコルを介したログ収集のためのTD Agent](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/td-agent-collecting-logs-through-an-http-protocol.md): HTTPプロトコルを使用してTD Agentにログを収集する方法と設定手順を解説します。JSONデータのアップロード方法も詳しく説明。 - [ローカルおよびリモートでのログ保存のためのTD Agent](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/td-agent-for-storing-logs-locally-and-remotely.md): Treasure AIのtd-agentを使用して、ログをローカルおよびリモートに保存する方法を解説。ローカルディスク、MongoDB、Amazon S3への保存設定を詳しく紹介します。 - [TD Agent言語、フレームワーク、ミドルウェア](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/td-agent-languages-frameworks-and-middleware.md): TD Agentを使用した各種言語、フレームワーク、ミドルウェアでのTreasure AIへのデータ投稿方法と統合手順を解説 - [TD Agentの設定](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/setting-up-td-agent.md): Treasure AIのTD Agentをインストールし、設定ファイルを構成する方法を解説。APIキーの設定方法と、サービスの再起動手順を詳しく説明します。 - [Treasure AIに送信されるTD Agentログ](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/td-agent-logs-sent-to-treasure-data.md): Treasure AIに送信されるTD Agentログの設定方法と、ログの監視、保存、表示に関する包括的なガイドです。 - [TD Agentリファレンス](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/td-agent-reference.md): TD AgentのリソースとRubyインタープリターのパス、設定ファイル、プラグインディレクトリなど、TD Agent 4.xと3.xの詳細な設定リファレンスを解説します。 - [Scribeプロトコルを使用したログ保存のためのTD Agent](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/td-agent-using-scribe-protocol-to-store-logs.md): Scribeプロトコルを使用したTD Agentでのログ保存方法を解説。Scribe入力の設定、JSON文字列の処理、データ転送の基本を説明します。 - [TD Agentのトラブルシューティング](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/troubleshooting-td-agent.md): Treasure AI td-agentのトラブルシューティングガイド。ネットワークエラー、インポート問題、パフォーマンス最適化、詳細ログ設定について解説します。 - [A/Bテストについて](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/ab-test/about-a-b-testing.md): Treasure AIのジャーニーオーケストレーションで、A/Bテストの仕組みと機能を詳しく解説します。マーケターが最適なマーケティング戦略を見つけるためのテスト方法を紹介します。 - [TD Agentのアップグレード](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-agent/upgrading-td-agent.md): td-agentの最新バージョンへのアップグレード方法を解説。Ubuntu、RHEL、CentOSなど、異なるOSでのアップグレード手順と注意点を説明します。 - [A/Bテストの作成](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/ab-test/creating-an-a-b-test.md): A/Bテストの作成方法を解説。Audience Studioでジャーニー内に最大8つのテストグループを追加し、効果的な分析を行う方法を説明します。 - [A/Bテストの編集](https://docs.treasure.ai/ja/products/customer-data-platform/journey-orchestration/batch/ab-test/editing-an-a-b-test.md): Treasure AI Journey Orchestrationで、ドラフトモードのA/Bテストを編集する方法を解説。名前、バリアント、割り当て率の変更手順を詳しく説明します。 - [AutoMLモデル共有](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/advanced-topics/automl-model-sharing.md): Treasure AI AutoMLで、モデルを他のユーザーと安全に共有し、予測に活用する方法を解説します。モデル共有のセキュリティと手順を詳しく説明します。 - [インクリメンタルミニバッチ予測](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/advanced-topics/incremental-mini-batch-prediction.md): Treasure AI AutoMLのインクリメンタルミニバッチ予測について、低レイテンシでバッチ処理を行う高度な予測手法を解説します。 - [ML実験トラッキングとモデル管理](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/advanced-topics/ml-experiment-tracking-and-model-management.md): Treasure AIのオートML環境における、ML実験のトラッキングとモデル管理の詳細なガイド。実験結果の記録、評価、モデルパフォーマンスの追跡方法を解説。 - [AutoMLワークフローの実行](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/configure-an-automl-solution/run-an-automl-workflow.md): Treasure AIのAutoMLワークフローを実行する手順を詳しく解説。コンソールでのワークフロー選択、新規実行、実行ログの確認方法を紹介。 - [AutoMLソリューションのセットアップ](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/configure-an-automl-solution/set-up-an-automl-solution.md): Treasure AIのAutoMLソリューションをセットアップする手順を解説。ワークフロー作成、前提条件、シークレット設定など、機械学習環境の構築方法を詳しく説明します。 - [AutoMLワークフローで生成されたノートブックの表示](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/configure-an-automl-solution/view-a-notebook-generated-by-an-automl-workflow.md): AutoMLワークフロー完了後のノートブック表示方法を解説。Treasure Consoleでデータ分析、モデル検査、精度評価を行う手順を紹介します。 - [CLTV予測](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/notebook-solutions/cltv-prediction.md): Treasure AIのノートブックソリューションで、Buy Till You Die (BTYD)モデルを使用した顧客生涯価値(CLTV)予測の方法を解説します。 - [探索的データ分析](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/notebook-solutions/exploratory-data-analysis.md): Treasure AIの探索的データ分析（EDA）ノートブックで、Pandasや高度な可視化ツールを使用してデータセットを分析し、洞察を得るための包括的な機能を紹介します。 - [クラスタリング](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/notebook-solutions/clustering.md): k-meansクラスタリングを使用して、Audience Studioで顧客属性に基づく自動セグメンテーションを実行する方法を解説。最適なクラスタ数の自動検出と、顧客分析のためのデータ可視化テクニックを紹介します。 - [Gluon Predict](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/notebook-solutions/gluon-predict.md): Gluonを使用した機械学習モデルの予測方法と、予測結果の出力形式について解説する技術文書です。 - [Gluon Train](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/notebook-solutions/gluon-train.md): AutoGluonを使用した自動機械学習で、予測モデルの構築、データ処理、特徴エンジニアリング、モデル選択を効率的に行うためのノートブックソリューション。 - [AutoML ノートブックソリューション](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/notebook-solutions.md): Treasure AI AutoMLのノートブックソリューション。分類、回帰、予測、SHAP分析など、多様なMLソリューションを提供。ビジネスユース向けに対応。 - [MLデータセット](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/notebook-solutions/ml-datasets.md): Treasure AIのAutoMLノートブックで、サンプルMLデータセットを簡単に生成・セットアップできます。銀行マーケティング、車内クーポン、オンライン小売などの実践的なデータセットを提供します。 - [マルチタッチアトリビューション](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/notebook-solutions/multi-touch-attribution.md): マーケティングチャネルの貢献度を分析するマルチタッチアトリビューション(MTA)のノートブックソリューション。様々なアトリビューションモデルを使用。 - [ネットワーク解析](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/notebook-solutions/network-analysis.md): Treasure AI AutoMLのネットワーク解析ノートブックで、遷移マトリックスからPageRankとサンキーダイアグラムを使用したグラフ可視化を実行 - [ネクストベストアクション](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/notebook-solutions/next-best-action.md): Q学習を用いたユーザーの次の最適アクションを予測するAutoMLノートブック。状態と行動データから、個々のユーザーに最適な次のステップを機械学習で導き出します。 - [RFM分析](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/notebook-solutions/rfm-analysis.md): Treasure AI AutoMLでRFM分析を実行し、顧客の購入パターンを分析・セグメント化する方法を解説します。最終購入日、購入頻度、購入金額に基づいて顧客を分類します。 - [SHAP分析](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/notebook-solutions/shap-analysis.md): Treasure AIのAutoMLにおけるSHAP分析の仕組みと、機械学習モデルの特徴量重要度を解釈する方法を解説するノートブックガイドです。 - [時系列予測](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/notebook-solutions/time-series-forecasting.md): Treasure AIのAutoMLノートブックで、FLAMLを使用した時系列予測モデルのトレーニングと将来値の予測方法を解説します。 - [AutoMLリソース容量](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/resourcemanagement/automl-resource-capacity.md): AutoMLのリソース容量と制限について、プランごとのRAM、同時実行タスク数、ユーザー数、タスクユニットの詳細を解説します。 - [AutoMLユニット時間の超過使用](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/resourcemanagement/excess-usage-of-automl-unit-hours.md): AutoMLユニット時間の超過使用について、制限を超えた場合のタスクスロットリングや対処方法を詳しく解説します。 - [メモリ使用量とデータセットサイズ](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/resourcemanagement/memory-usage-and-dataset-sizes.md): Gluon Trainノートブックのメモリ使用量とデータセットサイズの関係を解説。レコード数とカラム数がメモリに与える影響を具体的な数値で説明します。 - [AutoML使用状況の監視](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/automl/resourcemanagement/monitor-automl-usage.md): Treasure AI AutoMLの使用状況を監視し、リソース制限と利用状況を理解するための包括的なガイドです。サブスクリプション階層に基づく制限と管理方法を解説します。 - [単発配信キャンペーン](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/bulk-delivery.md): メールキャンペーンの一括配信方法を解説。Segment EditorとEngage Studio Campaignの2つのアプローチを詳しく説明し、セグメンテーションと効果的なターゲティング戦略を紹介します。 - [メール到達性と認証](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/email-deliverability-authentication.md): メール到達性を高めるSPF、DKIM、DMARCの認証プロトコルについて、Engage Studioでの自動設定と実装方法を解説します。 - [メール配信イベントテーブル | Engage Studio](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/email-delivery-events-table.md): Engage Studioのメール配信イベントテーブルのスキーマリファレンス。Output Column Mapping、td_log_*非PIIカスタム識別子列、アカウント単位のPII抑制オプションを含みます。 - [メールドメイン設定](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/email-domain-configuration.md): Engage Studioでメールドメインを設定する管理者向けガイド。サブドメイン選択、DNS設定、メール送信のための重要な初期構成手順を解説。 - [メールエラーイベントテーブル | Engage Studio](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/email-error-events-table.md): Engage Studioのメールエラーイベントテーブルのスキーマリファレンス。ランタイムエラー、レンダリングエラー、td_log_*非PIIカスタム識別子列について説明します。 - [メールへのプリヘッダーテキストの追加](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/email-preheader-text.md): Engage StudioでPre-headerテキストフィールドを設定し、件名の横に表示される受信トレイのプレビュー内容を制御して、メールの開封率を向上させます。 - [メール送信者設定](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/email-sender-configuration.md): メール送信者設定を使用して、Engage Studioで送信者プロファイルを作成し、メール配信のブランド一貫性とコンプライアンスを確保します。 - [Engageコンテンツ作成](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/engage-content-creation.md): Engage Studioのメールエディタで、直感的なドラッグアンドドロップを使用して、レスポンシブで魅力的なメールキャンペーンを簡単に作成する方法を解説します。 - [View in Browser](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/html-email-hosting.md): メールキャンペーンの静的HTMLをEmail Domainで配信し、受信者が「ブラウザで表示」リンクから確認できるようにします。 - [Engage StudioへのHTMLテンプレートのインポート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/import-html-templates-into-engage-studio.md): Engage Studioのビジュアルメールエディター（Beefree SDK搭載）に加えて、Treasure AIはカスタムコードメールを扱うための強力なワークフローを提供しています。 - [Email](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email.md): Engage Studioのメールチャネル - [ワンクリック配信停止管理](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/one-click-unsubscribe.md): Treasure AIのワンクリック配信停止管理により、メール受信者が簡単に購読解除でき、最新のメール規制に準拠できます。GoogleとYahooの新要件に対応した機能です。 - [マージタグとLiquidテンプレートを使用したパーソナライゼーション](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/personalization-using-merge-tag-and-liquid-template.md): メールのパーソナライゼーションに特化したマージタグとLiquidテンプレートの使い方を解説。簡単な設定方法から高度なカスタマイズまで、Engage Studioの機能を詳しく紹介します。 - [サブスクリプションイベントテーブル | Engage Studio](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/subscription-events-table.md): Engage Studioのサブスクリプションイベントテーブルのスキーマリファレンス。ワンクリック配信停止イベントの記録とtd_log_*非PIIカスタム識別子列について説明します。 - [UTMトラッキングコード](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/email/utm-tracking-code.md): Engage Studioのメールリンクに自動的にUTMパラメータを追加し、Google Analytics（GA4）でキャンペーンのトラフィックとコンバージョンを正確に追跡する方法を解説します。 - [Kakao Channel](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/kakao.md): Kakao Channel - [Engage Studio での One-off LINE キャンペーンの作成](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/line-oa-campaigns.md): Engage Studio で LINE Official Account の One-off Campaign を作成し、メッセージコンテンツ・ターゲットオーディエンス・配信スケジュール・UTM トラッキングを設定する方法を説明します。 - [Engage Studio の LINE チャネル](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line.md): Engage Studio が LINE Official Account と統合して、パーソナライズされたメッセージの配信、Rich Menu の切り替え、エンゲージメントの計測を行う方法について説明します。 - [Engage Studio の LINE キャンペーンにおけるイベントトラッキング](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/line-oa-click-tracking.md): LINE Webhook で収集できるイベント、個人レベルの開封・クリックデータが取得できない理由、および LINE OA Insights を使ったキャンペーン集計統計の取得方法を説明します。 - [LINE Flex Messageテンプレートギャラリー](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/line-oa-flex-message-gallery.md): Engage StudioキャンペーンでLINE Flex Messageとして再利用できるJSONテンプレートを一覧表示。クーポン、注文確認、商品レコメンドなどのテンプレートをコピーしてLiquidパーソナライズで活用できます。 - [Engage Studio の LINE メッセージタイプ](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/line-oa-message-types.md): Engage Studio キャンペーンでサポートされている LINE メッセージタイプ（Text v2・Imagemap）のフィールド仕様と設定方法について説明します。 - [Engage Studio の LINE キャンペーンレポート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/line-oa-reporting.md): LINE OA Insights、Treasure Insights、および Treasure AI の AI 機能を使って LINE キャンペーンの配信・エンゲージメントデータを分析する方法を説明します。 - [Engage Studio 向け LINE Official Account セットアップ](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/line-oa-setup.md): Engage Studio で LINE メッセージ配信を有効にするための、LINE Official Account 認証・LINE Sender Account の設定、ワークスペースへの割り当て方法を説明します。 - [Engage Studio での LINE キャンペーンのテスト](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/line-oa-testing.md): Engage Studio で LINE Official Account キャンペーンをローンチする前に、メッセージコンテンツのプレビュー・テスト送信・設定の検証を行う方法を説明します。 - [Engage Studio キャンペーン向け LINE User ID の取得](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/line-oa-user-ids.md): Engage Studio の LINE キャンペーンでフォロワーをターゲティングするために、LINE User ID をペアレントセグメントのプロファイルに収集・保存する方法を説明します。 - [LINE リッチメニュー切り替え](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/line-rich-menu-switching.md): LINE リッチメニューをユーザーセグメントに基づいて動的に切り替える方法を解説。Audience Studio と LINE Messaging APIを活用した柔軟な設定手法を紹介。 - [モバイルIn-Appメッセージング概要](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/mobile-inapp.md): Engage StudioのモバイルIn-Appメッセージング機能とRealtime Personalization 2.0を使用して、モバイルアプリユーザーにパーソナライズされたモーダルメッセージを配信する方法を説明します。 - [Android開発者ガイド](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/mobile-push/developer-guide-android.md): Android向けTreasure AI Mobile Push通知の統合ガイド。FCM連携、デバイストークン管理、通知表示、イベントトラッキングの実装方法を解説します。 - [iOS開発者ガイド](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/mobile-push/developer-guide-ios.md): Treasure AI iOS SDKを使用したiOSアプリへのMobile Push通知統合ガイド。APNs/FCM連携、トークン管理、リッチ通知、イベントトラッキングの実装方法を解説。 - [モバイルプッシュキャンペーン](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/mobile-push.md): Engage Studioのモバイルプッシュ通知機能を使用すると、Firebase Cloud Messaging（FCM）を介してAndroidおよびiOSアプリユーザーに通知を送信できます。 - [Mobile Pushセットアップ](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/mobile-push/mobile-push-setup.md): モバイルアプリのプッシュ通知設定方法を、AndroidとiOSの両プラットフォームで詳しく解説するTreasure AIのガイド。Firebase Cloud Messagingとの統合手順を段階的に説明します。 - [Push Eventsテーブル](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/mobile-push/push-events-table.md): Engage StudioのMobile Push通知イベントテーブルについて、サンプルスキーマとイベントタイプを解説。データトラッキングとカスタマイズのベストプラクティスを説明。 - [SMSチャネル](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/sms.md): 送信者の設定、同意フィルタリング、静穏時間、UTMトラッキング、TCPA準拠を含む、Marketing Cloud Engage StudioでのSMSキャンペーンの設定と実行方法を解説します。 - [WhatsApp チャネル](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/whatsapp.md): WhatsApp チャネル - [Treasure AI Android SDK クイックスタート](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/mobile/android.md) - [File Decoder機能](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/decoder/file-decoder-function.md): Treasure AI IntegrationのFile Decoder機能について、gzip、bzip2、single_file_in_zipの圧縮ファイルの読み込み方法と設定方法を解説します。 - [Treasure AI iOS SDK クイックスタート](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/mobile/ios.md) - [フィルター関数について](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/about-filter-functions.md): Treasure AIのフィルター関数は、さまざまなソースからのすべてのデータを変換し、クエリとセグメンテーションに対応した単一のデータベースに統合するために重要です。 - [add_time フィルター関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/add_time-filter-function.md): add_time フィルター関数 - [Add Columnsフィルター](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/adding-columns-filter.md): Add Columnsフィルターを使用すると、カラムを複製したり、静的な値で新しいカラムを作成したりできます。 - [インポート統合フィルターの適用](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/applying-import-integration-filters.md): フィルターは、S3、FTP、またはSFTPコネクタのCreate SourceまたはEdit Sourceインポート設定で利用できます。 - [Calcite フィルター関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/calcite-filter-function.md): このフィルター関数は、入力プラグインから受け取った Pages 内の行を SQL クエリで変換し、クエリ結果を変更された Pages として次のフィルターまたは出力プラグインに送信できます。 - [Columnsフィルター関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/columns-filter-function.md): Treasure AIの統合用columnsフィルタープラグインを使用すると、カラムを追加またはフィルタリングできます。 - [csv_all_strings Guess フィルター関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/csv_all_strings-guess-filter-function.md): csv_all_strings guess は、CSV ファイル内の列の型を string 型として推測します。 - [データ操作](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/data-manipulation.md): データ操作は、さまざまなデータソースを統合し、統一するために重要です。 - [データマスキング](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/data-masking.md): データ変換においてますます重要な目標の1つはデータマスキングです。プライバシーが組織にとってますます重要になる中、必要に応じて機密データをマスクする機能は優先事項です。 - [Decrypt フィルター関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/decrypt-filter-function.md): Treasure AI インテグレーション用の decrypt フィルタープラグインを使用すると、AES などの暗号化アルゴリズムを使用して列を復号化できます。 - [Digestingフィルター](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/digesting-filter.md): Digestフィルターを使用して、機密情報が公開されないように保護します。インポートするデータには、機密または非公開と見なすカラムが含まれている場合があります。Digestフィルターを使用すると、その特定のカラムのデータをハッシュ化できます。 - [Dropping Columns フィルター](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/dropping-columns-filter.md): Drop Columns フィルターを使用すると、インポートするデータから列を削除できます。 - [Encryptフィルター関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/encrypt-filter-function.md): Treasure AI統合用のencryptフィルタープラグインを使用すると、AESなどの暗号化アルゴリズムを使用してカラムを暗号化できます。 - [Expand_jsonフィルター関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/expand_json-filter-function.md): Treasure AIのData Connector用expand_jsonフィルタープラグインは、JSONを含むカラムを複数のカラムに展開します。 - [Expanding JSON フィルター](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/expanding-json-filter.md): Expand JSON フィルターは、データセット内の JSON オブジェクトを複数の個別の新しい列に変換できます。 - [Explode_json_columns出力フィルター関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/explode_json_columns-output-filter-function.md): Treasure AI統合用のexplode_json_columnsオプションは、JSONを持つカラムを複数のカラムに展開します。 - [Column_options フィルター関数による Timestamp 型データのタイムゾーン処理](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/handling-timezone-of-timestamp-type-data-by-column_options-filter-function.md): timestamp データ（例：2016/11/23 21:00:33 JST）のタイムゾーンは、timestamp データを期待通りに処理するために指定する必要があります。 - [Hashフィルター関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/hash-filter-function.md): Hashフィルター関数 - [Amazon S3、FTP、SFTP用のImport Integrationフィルター](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/import-integrations-filters-for-amazon-s3-ftp-and-sftp.md): フィルターは、インポートプロセス中にデータの構造を変更または操作するために使用できます。非常に便利ですが、データ取り込みプロセスにおける役割と制限を理解することが重要です。これらのフィルタープラグインは、S3、FTP、またはSFTPコネクタで利用できます。 - [JSON 形式の列を複数の列にパースする](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/parsing-column-with-json-format-into-multiple-columns.md): Treasure コンソール では、コネクタを使用して外部ソースからデータをインポートしようとしても、JSON 形式の列はパースされません。 - [Remove_columns フィルター関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/remove_columns-filter-function.md): Remove_columns フィルター関数 - [Renameフィルター関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/rename-filter-function.md): Renameフィルター関数 - [Retain Columnsフィルター](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/filter/retaining-columns-filter.md): Retain Columnsフィルターを使用すると、保持したいカラムを指定できます。 - [Avro パーサー関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/parser/avro-parser-function.md): Treasure AI インテグレーション用の Avro パーサープラグインは、Avro バイナリデータを含むファイルをパースします。 - [CSVパーサー関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/parser/csv-parser-function.md): Treasure AIのCSVパーサー関数に関する包括的なガイド。CSVデータインポートの解析と処理のための15の設定オプションを説明します。 - [JSON Parser](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/parser/json-parser.md): JSON Parser - [MessagePack Parser関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/parser/messagepack-parser-filter-function.md): MessagePackデータの解析方法を詳しく説明。Treasure AI Data Connectorのmsgpack Parserプラグインの設定、オプション、カラム定義について解説します。 - [Query String Parser関数](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/parser/query-string-parser-filter-function.md): Query String Parser関数 - [CSV Parserのcharsetオプションでサポートされる値](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/batch/import/parser/supported-values-for-charset-option-in-csv-parser.md): CSV Parserのcharsetオプションでサポートされる値 - [アパレル ショーケース Flex Messageテンプレート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/flex-templates/apparel.md): Engage Studio向け、カルーセルレイアウト・価格・アイテム別CTAでアパレル商品をプロモーションするLINE Flex Message JSONテンプレート。 - [クーポン通知 Flex Messageテンプレート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/flex-templates/coupon-notification.md): Engage Studioで利用できる、ヒーロー画像・クーポンコード・Shop Nowボタンを含むパーソナライズド対応のLINE Flex Message JSONテンプレート。 - [ホテル予約 Flex Messageテンプレート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/flex-templates/hotel.md): チェックイン/アウト日・部屋タイプ・確認CTAを含む、Engage Studio向けホテル予約確認のLINE Flex Message JSONテンプレート。 - [ローカル検索結果 Flex Messageテンプレート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/flex-templates/local-search.md): 評価・サムネイル・ディープリンクを含む位置情報ベースの検索結果を表示する、Engage Studio向けLINE Flex Message JSONテンプレート。 - [メニュー Flex Messageテンプレート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/flex-templates/menu.md): ヒーロー画像と注文CTAを含む飲食店・ショップメニュー向けの、Engage Studio用LINE Flex Message JSONテンプレート。 - [不動産物件 Flex Messageテンプレート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/flex-templates/real-estate.md): 価格・仕様・問い合わせCTAを含む不動産物件リスティングのための、Engage Studio向けLINE Flex Message JSONテンプレート。 - [レシート Flex Messageテンプレート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/flex-templates/receipt.md): 商品・小計・税金・合計を表示する購入後レシート向けの、Engage Studio用LINE Flex Message JSONテンプレート。 - [レストラン レコメンド Flex Messageテンプレート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/flex-templates/restaurant.md): ヒーロー画像・評価・ジャンル・予約CTAを含むレストラン推薦向けの、Engage Studio用LINE Flex Message JSONテンプレート。 - [ショッピング カルーセル Flex Messageテンプレート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/flex-templates/shopping.md): 価格とカート追加アクションを含む複数商品ショッピングカルーセル向けの、Engage Studio用LINE Flex Message JSONテンプレート。 - [ソーシャル ポスト Flex Messageテンプレート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/flex-templates/social.md): アバター・本文・リアクションを含むソーシャルメディア投稿風の、Engage Studio用LINE Flex Message JSONテンプレート。 - [イベント チケット Flex Messageテンプレート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/flex-templates/ticket.md): 日付・座席情報・チェックインCTAを含むイベントチケット向けの、Engage Studio用LINE Flex Message JSONテンプレート。 - [TODOリスト Flex Messageテンプレート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/flex-templates/todo-app.md): アイテムのステータス・更新アクションを含むTODOリストカルーセルのための、Engage Studio用LINE Flex Message JSONテンプレート。 - [乗換案内 Flex Messageテンプレート](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels/line/flex-templates/transit.md): 出発・到着・乗換・運賃合計を含む旅程バブル向けの、Engage Studio用LINE Flex Message JSONテンプレート。 - [Getting Started with Treasure APIs](https://docs.treasure.ai/ja/apis.md): Learn about Treasure AI REST APIs, choose the right data import method, and find links to API documentation for Audience API, Treasure API, Postback API, and more. - [Integrating Kafka with Treasure AI](https://docs.treasure.ai/ja/blog/apache_kafka_confluent_cloud.md) - [Automatic Customer Segmentation with Machine Learning](https://docs.treasure.ai/ja/blog/auto-segmentation.md): Making Your Auto-Segmentation Model Work For You - [Continuous Deployment of Treasure Workflow with Azure DevOps](https://docs.treasure.ai/ja/blog/azure_devops.md): How to integrate Treasure Workflow with Azure DevOps - [Debugging unexpected _1 column's on data connector import](https://docs.treasure.ai/ja/blog/column_1-dataconnector.md): Unexpected `_1` appended to column names - [Testing Distributed Components of Storage Engine](https://docs.treasure.ai/ja/blog/distributed-system-testing.md): Tackling challenges of testing of distributed components of Storage Engine with system tests - [Embulk in TD, and in the future](https://docs.treasure.ai/ja/blog/embulk-in-td.md): Updates to Embulk maintinance strategy. - [Fuzzy Matching](https://docs.treasure.ai/ja/blog/fuzzy_matching.md): Use statistics to match different unique ID's to same persona. - [Implementing the Hive Distributed Profiling System](https://docs.treasure.ai/ja/blog/hive-distributed-profiling.md): Use stack traces with Hive for scalable profiling. - [Leveraging Query ReExecution for Smooth Hive 4 Migration](https://docs.treasure.ai/ja/blog/hive-query-reexecution.md): An unsung hero in an enterprise-grade Hive deployment - [Hive Table scan optimization](https://docs.treasure.ai/ja/blog/hive-table-scan-optimization.md): Hive highly parallelized table scans net 20-30% speed increase with PlazmaDB! - [Leveraging feedback is a skill!](https://docs.treasure.ai/ja/blog/how_to_receive_feedback.md): Tips for Engineers on how to interpret and incorporate feedback to further their career goals! - [Orchestrate dbt with Treasure Workflow](https://docs.treasure.ai/ja/blog/orchestrate_dbt.md): A walkthrough of how to leverage dbt Core (command line tools) with the Treasure AI ecosystem. - [Orchestrate dbt with Treasure Workflow Episode 2](https://docs.treasure.ai/ja/blog/orchestrate_dbt_2.md): Practices sharing of how Data Team in Treasure AI leverages dbt Core (command line tools) with the Treasure AI ecosystem. - [How to prepare simple test data for Hive and Presto](https://docs.treasure.ai/ja/blog/prepare_test_data_for_query.md): This article show how to prepare simple data for Hive/Presto testing without using the actual table - [Upcoming Evolution of Treasure AI Query Engines](https://docs.treasure.ai/ja/blog/query_engines_update2024.md) - [#TDTechTalk : 5 challenges in CDP](https://docs.treasure.ai/ja/blog/tdtechtalk2022-tokyo.md): The first TD in-person meet-up in three years. - [Visual Studio Code extension for Treasure AI](https://docs.treasure.ai/ja/blog/vscode-tdqt.md): Boost Your Data Analysis Workflow with TD Query Tool for VS Code. - [Journey to Containers in Core Services Worker Platform](https://docs.treasure.ai/ja/blog/worker-journey-to-containers.md): Sharing our journey with container technology from Worker Platform that manages the fair scheduling of jobs and helps manage the state of individual jobs. - [The Zero Bug Policy](https://docs.treasure.ai/ja/blog/zero-bug-policy.md): Take back control of your bug backlog - [LINE OA Streaming Export Integration](https://docs.treasure.ai/ja/int/line-oa-streaming-export-integration.md): Real-time message delivery to LINE users through Treasure AI's activation workflows, enabling instant communication using LINE Official Account Messaging API. - [Realtime Secure Signed Webhook Streaming Export Integration](https://docs.treasure.ai/ja/int/ss-webhook-streaming-export-integration.md): Secure real-time data streaming for sending customer data to external webhook endpoints with cryptographic signature verification using Treasure AI's activation workflows. - [Glossary](https://docs.treasure.ai/ja/products/glossary.md): Comprehensive glossary of technical terms and definitions covering key concepts in marketing, AI, data analysis, and software development. - [Release Notes](https://docs.treasure.ai/ja/release-notes.md): Stay up to date with the latest Treasure AI product updates, new features, and improvements. - [Shopify Streaming Import Integration](https://docs.treasure.ai/ja/int/shopify-streaming-import-integration.md): Real-time Shopify webhook integration for Treasure AI, enabling instant analytics, personalization, and insights from customer purchases, cart activity, and store events. - [Treasure Engage V0 Export Integration](https://docs.treasure.ai/ja/int/treasure-engage-v0-export-integration.md): Learn how to configure the Treasure Engage V0 Export connector to send real-time transactional emails through Engage Studio as part of journey orchestration workflows. - [Requirements and Supported Technology](https://docs.treasure.ai/ja/requirements-and-limitations.md): Overview of Treasure AI requirements, supported browsers, upper limits, naming rules, and query engine versions. - [Treasure Data Tutorials](https://docs.treasure.ai/ja/tutorials.md) - [Configuring A/B Testing](https://docs.treasure.ai/ja/apis/audience-api/ab-testing.md): Learn how to configure A/B testing in customer journeys using the Audience API to compare up to eight variants and optimize marketing campaigns. - [Product Overview](https://docs.treasure.ai/ja/products.md): Overview of Treasure AI's Agentic Experience Platform — AI (AI Studio, Treasure Code, Voice), Activation (Engage Studio, Personalization Studio), Customer Data Platform, and Administration. - [Treasure AI Audience API Quickstart](https://docs.treasure.ai/ja/apis/audience-api.md): Learn how to use Audience API to automate marketing tasks including segment creation, campaign activations, funnels, and predictive segments in Audience Studio. - [Retrieving Journey and Conversion Statistics](https://docs.treasure.ai/ja/apis/audience-api/journey-conversion-statistics.md): Learn how to retrieve journey statistics and Sankey chart data using the Audience API, including goal completion rates, stage transitions, and activation conversions. - [Treasure AI Audience API Overview](https://docs.treasure.ai/ja/apis/audience-api/overview.md): Learn about Audience API for programmatic access to CDP operations, including parent segments, segments, folders, activations, funnels, predictive segments, and journeys. - [Time-Based Filters - Attribute & Behavior](https://docs.treasure.ai/ja/apis/audience-api/time-based-filters.md): Learn how to create attribute and behavior filters based on timestamps for segment creation in Audience Studio using the Audience API. - [Journey Orchestration using the REST API](https://docs.treasure.ai/ja/apis/audience-api/journey-orchestration-rest-api.md): Learn how to manage customer journeys via REST API including creating decision points, pausing/resuming journeys, and managing activations inside journeys. - [Quickstart](https://docs.treasure.ai/ja/apis/dwh-integration-api/quickstart.md) - [Configuring Custom Script IP Addresses](https://docs.treasure.ai/ja/apis/endpoints/customscript-ipaddresses.md) - [Treasure Code (tdx) - AI-Native CLI for Treasure AI](https://docs.treasure.ai/ja/treasure-code.md): tdx is a modern command-line interface for Treasure AI that enables Marketing as Code. Manage segments, workflows, and journeys as version-controlled YAML with Claude Code integration. - [Treasure AI Sites and API Endpoints](https://docs.treasure.ai/ja/apis/endpoints/endpoints.md): Find the correct API baseURLs and console URLs for your Treasure AI region (US, Europe, Korea, Japan). Includes endpoints for Treasure API, Audience API, SDKs, Workflow, and more. - [IP Addresses for Import and Export Integrations](https://docs.treasure.ai/ja/apis/endpoints/ip-addresses-integrations-result-workers.md): IP addresses to allowlist for Treasure AI import and export integrations across Tokyo, US, EU01, and AP02 regions. Includes S3 bucket policy configuration. - [LLM API Quickstart](https://docs.treasure.ai/ja/apis/llm-api.md): Get started with Treasure AI's LLM API. Learn how to list actions, manage AI agents, and build intelligent customer experiences programmatically. - [Personalization API Quickstart](https://docs.treasure.ai/ja/apis/p13n-api.md) - [Postback API Quickstart](https://docs.treasure.ai/ja/apis/postback/quickstart.md) - [Postback API v2](https://docs.treasure.ai/ja/apis/postback-v2.md): Overview of the Treasure AI Postback API v2 — the next-generation Postback ingestion endpoint served from records.in.treasuredata.com with header-based authentication. - [Treasure Data Bulk Import API](https://docs.treasure.ai/ja/apis/td-api/bulk-import-api.md) - [Treasure Data Bulk Loads API](https://docs.treasure.ai/ja/apis/td-api/bulk-loads-api.md) - [REST API for Identity Federation](https://docs.treasure.ai/ja/apis/td-api/identity-federation.md): API reference for Treasure AI Identity Federation. Configure SSO settings, create users with SSO, and manage identity provider integrations. - [TD-API Quickstart](https://docs.treasure.ai/ja/apis/td-api.md): Get started with the Treasure AI REST API. Learn how to list databases, issue queries, retrieve results, and manage connectors programmatically. - [Treasure Data System APIs](https://docs.treasure.ai/ja/apis/td-api/system-api.md) - [Treasure Data User API](https://docs.treasure.ai/ja/apis/td-api/user-api.md) - [Connect Claude Code to Treasure AI](https://docs.treasure.ai/ja/getting-started/ai/claude-code.md): Connect Claude Code to Treasure AI using tdx claude (TD LLM Proxy billing) or your own Anthropic subscription, with TD Skills and documentation search included. - [Connect Cursor to Treasure AI](https://docs.treasure.ai/ja/getting-started/ai/cursor.md): Connect Cursor to Treasure AI via MCP to query databases, build segments in YAML, and debug workflows from Cursor's agent chat, with TD Skills included. - [MCP Server (Docs)](https://docs.treasure.ai/ja/getting-started/ai/mcp-server-docs.md): Reference for Treasure AI's MCP Server (Docs): the tools AI agents use to search documentation and API references in real time instead of training data. - [MCP Server (Platform)](https://docs.treasure.ai/ja/getting-started/ai/mcp-server-platform.md): Reference for Treasure AI's MCP Server (Platform): the tdx_run and tdx_search tools that let AI agents query databases, manage segments, and run workflows. - [Connect OpenAI Codex to Treasure AI](https://docs.treasure.ai/ja/getting-started/ai/openai-codex.md): Connect OpenAI Codex CLI to Treasure AI's MCP server to query databases, build segments, and debug workflows from natural-language prompts in your terminal. - [Connect Visual Studio Code (GitHub Copilot) to Treasure AI](https://docs.treasure.ai/ja/getting-started/ai/vscode-github-copilot.md): Connect VS Code and GitHub Copilot to Treasure AI via MCP to query databases, build segments, and debug workflows from Copilot Chat's Agent mode. - [Treasure AI Studio](https://docs.treasure.ai/ja/products/ai-studio.md): Treasure AI Studio is a multi-platform AI application for Web, Desktop, and Mobile — turn natural-language instructions into queries, segments, journeys, and reports. - [Treasure AI Labs](https://docs.treasure.ai/ja/products/treasure-ai-labs.md): Treasure AI Labs is the R&D arm of Treasure AI — where experimental products reach early adopters before graduating to Treasure AI Studio. - [2023 Release Note](https://docs.treasure.ai/ja/release-notes/2023/2023.md) - [April 2023 Release Note](https://docs.treasure.ai/ja/release-notes/2023/april-2023-release-note.md): Introduces multiple IdP support, Yahoo! Ads API updates, and table scan performance improvements. - [August 2023 Release Note](https://docs.treasure.ai/ja/release-notes/2023/august-2023-release-note.md): Launches Activations Overview, Segment Insights Dashboard, RFM Analysis AutoML, and Braze Currents integration. - [December 2023 Release Note](https://docs.treasure.ai/ja/release-notes/2023/december-2023-release-note.md): Introduces Behavior Activations, Hive 4, enhanced Journey capacity, and Google Ads conversion improvements. - [February 2023 Release Note](https://docs.treasure.ai/ja/release-notes/2023/february-2023-release-note.md): Launches AutoML, Journey pause/resume, S3 assume role authentication, and Treasure Insights Data Model UI. - [January 2023 Release Note](https://docs.treasure.ai/ja/release-notes/2023/january-2023-release-note.md): Introduces Activation Templates, Journey Builder improvements, and new export integrations. - [July 2023 Release Note](https://docs.treasure.ai/ja/release-notes/2023/july-2023-release-note.md): Introduces Profile API token granular control, Google Analytics Data API, and Salesforce Pardot integrations. - [June 2023 Release Note](https://docs.treasure.ai/ja/release-notes/2023/june-2023-release-note.md): Adds JS SDK 4.0, new timestamp operators, Klaviyo import, and enhanced Profile View permissions. - [March 2023 Release Note](https://docs.treasure.ai/ja/release-notes/2023/march-2023-release-note.md): Adds Google Enhanced Conversion improvements, SFMC import/export enhancements, and Trust & Security Center. - [May 2023 Release Note](https://docs.treasure.ai/ja/release-notes/2023/may-2023-release-note.md): Launches Journey Jump feature, Amazon Marketing Cloud integrations, and Pinterest Audiences export. - [November 2023 Release Note](https://docs.treasure.ai/ja/release-notes/2023/november-2023-release-note.md): Launches Journey Dashboard with campaign metrics, enhanced Control Panel utilization, and activation improvements. - [October 2023 Release Note](https://docs.treasure.ai/ja/release-notes/2023/october-2023-release-note.md): Introduces AutoML Clustering solution, Segment Insights PII hiding, and improved TikTok/Yahoo! integrations. - [September 2023 Release Note](https://docs.treasure.ai/ja/release-notes/2023/september-2023-release-note.md): Launches Control Panel in Console, enhanced Workflow landing page, and nested Decision Point layers in Journey. - [2024 Release Note](https://docs.treasure.ai/ja/release-notes/2024/2024.md) - [April 2024 Release Note](https://docs.treasure.ai/ja/release-notes/2024/april-2024-release-note.md): Delegated Admin, real-time journey orchestration, pCLTV AI solution, and account hierarchy beta. - [August 2024 Release Note](https://docs.treasure.ai/ja/release-notes/2024/august-2024-release-note.md): Real-time attributes launch, TikTok Events integration, and Amazon Ads DSP Reports support. - [December 2024 Release Note](https://docs.treasure.ai/ja/release-notes/2024/december-2024-release-note.md): Enhanced export integrations for Amazon Marketing Cloud, BigQuery V2, PostgreSQL, and Tableau. - [February 2024 Release Note](https://docs.treasure.ai/ja/release-notes/2024/february-2024-release-note.md): New documentation site launch, Databricks Export integration, and Google API migrations to REST. - [January 2024 Release Note](https://docs.treasure.ai/ja/release-notes/2024/january-2024-release-note.md): Google Ads consent updates, S3 Parquet improvements, and DV360 EU compliance enhancements. - [July 2024 Release Note](https://docs.treasure.ai/ja/release-notes/2024/july-2024-release-note.md): Insider GMP integration, SendGrid import, Webhook streaming, and Google Enhanced Conversion updates. - [June 2024 Release Note](https://docs.treasure.ai/ja/release-notes/2024/june-2024-release-note.md): Journey versioning, market-level access control, Amazon Ads integration, and Google Customer Match. - [March 2024 Release Note](https://docs.treasure.ai/ja/release-notes/2024/march-2024-release-note.md): Trino 423 beta, AI for Marketers RFM, and deleted data retention reduced to 7 days. - [May 2024 Release Note](https://docs.treasure.ai/ja/release-notes/2024/may-2024-release-note.md): Activation Actions beta, Braze Cohort integration, Hive 4 and Trino 423 GA releases. - [November 2024 Release Note](https://docs.treasure.ai/ja/release-notes/2024/november-2024-release-note.md): Real-time journey jumps and exit criteria, Pinterest Conversion, Snapchat CAPI, Segment Insights. - [October 2024 Release Note](https://docs.treasure.ai/ja/release-notes/2024/october-2024-release-note.md): Traffic Control, Marketing Copilot, real-time decision points, and behavior activation templates. - [September 2024 Release Note](https://docs.treasure.ai/ja/release-notes/2024/september-2024-release-note.md): New Control Panel, Live Connect Zero-Copy with Snowflake and Databricks, SFTP v2 integration. - [2025](https://docs.treasure.ai/ja/release-notes/2025/2025.md) - [August 2025 Release Note](https://docs.treasure.ai/ja/release-notes/2025/august-2025-release-note.md): Real-time event transformation, Claude Sonnet 4 in US, browser-based personalization, and new Trade Desk connector. - [December 2025 Release Note](https://docs.treasure.ai/ja/release-notes/2025/december-2025-release-note.md): Journey Simulation, email click tracking, incremental activation, logical views, and TD-managed unsubscribe. - [February 2025 Release Note](https://docs.treasure.ai/ja/release-notes/2025/february-2025-release-note.md): Personalization 2.0 UI, policy-based journey permissions, activation templates, and expanded workflow limits. - [January 2025 Release Note](https://docs.treasure.ai/ja/release-notes/2025/january-2025-release-note.md): Real-time trigger activation, NBP AI Signals, LinkedIn Conversions API, Shopify V2 connectors, and Trino migration. - [July 2025 Release Notes](https://docs.treasure.ai/ja/release-notes/2025/july-2025-release-notes.md): Unified ID 2.0 integration, Iterable connector enhancements, JS SDK auto-UTM tracking, and CJO A/B testing controls. - [June 2025 Release Notes](https://docs.treasure.ai/ja/release-notes/2025/june-2025-release-notes.md): Smart Schedule time ranges, text knowledge bases, Custom Script improvements, BigQuery V2, and LiveConnect Easy Sync. - [May 2025 Release Notes](https://docs.treasure.ai/ja/release-notes/2025/may-2025-release-notes.md): Console redesign, Real-time Personalization GA, Jobs & Parent Segment in Console Next, and Google Data Manager GA. - [October 2025 Release Note](https://docs.treasure.ai/ja/release-notes/2025/october-2025-release-note.md): API key IP allowlist, AI-powered API docs search, Engagement, Personalization, and Creative AI Suites now GA. - [September 2025 Release Note](https://docs.treasure.ai/ja/release-notes/2025/september-2025-release-note.md): Audience Agent with segment analytics, image uploads in AI Agent Foundry, output history, and real-time A/B testing. - [February 2026 Release Note](https://docs.treasure.ai/ja/release-notes/2026/february-2026-release-note.md): Always-on campaigns, mobile push in Engage Studio, Treasure Code GA, and Analysis Agent for Plazma DB. - [January 2026 Release Note](https://docs.treasure.ai/ja/release-notes/2026/january-2026-release-note.md): Marketing Super Agent now GA, chat data retention configuration, and Google Ads API updates. - [March 2026 Release Note](https://docs.treasure.ai/ja/release-notes/2026/march-2026-release-note.md): Snowflake and Databricks workflow operators, Advanced Webhook streaming connector, Plazma Query agent tool, Oracle Eloqua updates, and more. - [Release Notes Archive](https://docs.treasure.ai/ja/release-notes/archive.md) - [Java SDK Data Import](https://docs.treasure.ai/ja/tools/cli-and-sdks/java-sdk-import.md) - [TD Toolbelt Reference](https://docs.treasure.ai/ja/tools/cli-and-sdks/api.md): Command line reference for Treasure AI TD Toolbelt CLI commands - [Ruby SDK Data Import](https://docs.treasure.ai/ja/tools/cli-and-sdks/ruby-sdk-import.md) - [pytd Quickstart](https://docs.treasure.ai/ja/tools/pytd.md) - [How to replace pandas-td](https://docs.treasure.ai/ja/tools/pytd/porting-pandas.md) - [pytd vs td-client-python vs pandas-td](https://docs.treasure.ai/ja/tools/pytd/pytd-vs-td-client-python-vs-pandas-td.md) - [Working with DB-API](https://docs.treasure.ai/ja/tools/pytd/working-with-db-api.md) - [tdx api - Raw HTTP Requests | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/api.md): Make raw HTTP requests to Treasure AI APIs with tdx api. Useful for exploring endpoints not yet wrapped by tdx commands. - [tdx auth - Authentication Management | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/auth.md): Manage authentication for Treasure AI. Set up API key or OAuth login, check status, and clear credentials. - [tdx agent - LLM Agent Management | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/agent.md): Manage LLM agents with YAML/Markdown files. Pull, push, clone, and test AI agents in Treasure AI. - [tdx cas - Composable Audience Studio | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/cas.md): Manage Composable Audience Studio (CAS) resources. Zero-copy CDP audiences on Snowflake, Databricks, and BigQuery. - [tdx chat - AI Chat Interface | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/chat.md): Chat with LLM agents via tdx CLI. Interactive AI conversations for data analysis and marketing automation. - [tdx claude - Claude Code Integration | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/claude.md): Launch Claude Code with TD LLM Proxy. Use AI Suite credits for AI-powered development with TD Skills. - [tdx connection - Connection Management | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/connection.md): Manage result output connections for job exports and segment activations. List connections and view schemas. - [tdx database - Database Management | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/database.md): List and filter Treasure AI databases. View database information with pattern matching and filtering. - [tdx delivery - Email Delivery Management | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/delivery.md): Manage email delivery resources including senders in Treasure AI Engage workspaces. - [Commands Reference - tdx | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands.md): Complete tdx CLI command reference. Data, CDP, AI, and workflow commands for Treasure AI. - [tdx engage - Email Campaign Management | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/engage.md): Manage Engage campaigns, email templates, and workspaces. Create, launch, and monitor marketing campaigns. - [tdx job - Query Job Management | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/job.md): Manage and execute Treasure AI query jobs. List jobs, view results, and manage scheduled queries. - [tdx journey - Journey Orchestration | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/journey.md): Manage CDP Journey Orchestration with YAML files. Create and automate customer journeys with tdx. - [tdx llm - LLM Project Management | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/llm.md): Manage LLM projects and chat sessions. List projects, agents, and view chat history. - [tdx mcp - MCP Server for AI Tools | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/mcp.md): Run tdx as an MCP server for AI coding assistants like Cursor, Windsurf, and Claude Desktop. - [tdx parent-segment - Audience Management | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/parent-segment.md): Manage CDP parent segments with YAML configuration. Pull, push, validate, and preview audience definitions. - [tdx policy - Access Control Policies | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/policy.md): Inspect access control policies and permissions in your Treasure AI account with tdx policy commands. - [tdx query - SQL Query Execution | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/query.md): Execute SQL queries using Trino. Run queries from CLI, files, or stdin with multiple output formats. - [tdx segment - CDP Segment Management | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/segment.md): Manage CDP segments with YAML files. Pull, push, validate segments and configure activations. - [tdx table - Table Management | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/table.md): List, describe, and show Treasure AI table contents. View schemas and preview data. - [tdx upgrade - CLI Upgrade | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/upgrade.md): Upgrade tdx CLI to the latest or a specific version. - [tdx user - User Management | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/user.md): View and manage users in your Treasure AI account. List users and view account information. - [tdx workflow - Workflow Management | Treasure AI](https://docs.treasure.ai/ja/treasure-code/commands/workflow.md): Manage Treasure AI workflows with Digdag. Pull, push, run workflows and monitor sessions. - [API Command Safety | Treasure AI](https://docs.treasure.ai/ja/treasure-code/guide/api-command-safety.md): Learn why tdx api is disabled by default and how to safely enable it for exploring Treasure AI endpoints. - [Quick Start Guide - tdx | Treasure AI](https://docs.treasure.ai/ja/treasure-code/guide.md): Get started with tdx, a modern AI-native CLI for Treasure AI. Install, authenticate, and run your first queries in minutes. - [Installation Guide - tdx | Treasure AI](https://docs.treasure.ai/ja/treasure-code/guide/installation.md): Install tdx CLI on macOS, Windows, and Linux. Supports npm, Homebrew, nvm, and WSL2 installation methods. - [Marketing as Code - tdx | Treasure AI](https://docs.treasure.ai/ja/treasure-code/guide/marketing-as-code.md): Transform marketing operations into version-controlled YAML. Manage segments, journeys, and workflows as code with AI assistance. - [Output Formats - tdx | Treasure AI](https://docs.treasure.ai/ja/treasure-code/guide/output-formats.md): Configure tdx output formats including table, JSON, JSONL, and TSV for query results and command outputs. - [Profile Management - tdx | Treasure AI](https://docs.treasure.ai/ja/treasure-code/guide/profile-management.md): Manage multiple Treasure AI accounts with tdx profiles. Configure authentication, regions, and environment-specific settings. - [HTTP Proxy Configuration - tdx | Treasure AI](https://docs.treasure.ai/ja/treasure-code/guide/proxy.md): Configure tdx to work with corporate HTTP proxies and SSL inspection. Set up proxy via config file or environment variables. - [Release Notes - tdx | Treasure AI](https://docs.treasure.ai/ja/treasure-code/guide/releases.md): tdx release notes and changelog. View new features, bug fixes, and breaking changes for each version. - [Feature Roadmap - tdx | Treasure AI](https://docs.treasure.ai/ja/treasure-code/guide/roadmap.md): tdx feature coverage and development roadmap. See current capabilities and planned features for each command. - [TD Skills for Claude Code - tdx | Treasure AI](https://docs.treasure.ai/ja/treasure-code/guide/td-skills.md): Pre-built Claude Code plugins for Treasure AI. SQL skills, workflow skills, and CDP skills for AI-assisted development. - [Web Search Tool Setup Guide](https://docs.treasure.ai/ja/treasure-code/guide/web-search-tool.md): Learn how to add web search capabilities to AI Agent Foundry agents using the Web Search Tool with TDX CLI. - [Claude Model Reference](https://docs.treasure.ai/ja/treasure-code/reference/claude-models.md): Claude model identifiers for TD LLM Proxy. Model versions, aliases, and API compatibility reference. - [Trino Tutorial](https://docs.treasure.ai/ja/tutorials/trino.md) - [Go Client for TD-API](https://docs.treasure.ai/ja/apis/td-api/td-client/td-client-go.md): Learn how to use the Go programming language client library for Treasure API. List databases and tables, issue queries, and check job status. - [Java Client for TD-API](https://docs.treasure.ai/ja/apis/td-api/td-client/td-client-java.md): Learn how to use the Java client library for Treasure API. Submit Hive and Trino queries, check job status, retrieve results, and perform bulk imports. - [Node.js Client for TD-API](https://docs.treasure.ai/ja/apis/td-api/td-client/td-client-node.md): Learn how to use the Node.js client library for Treasure API. List databases and tables, issue Hive queries, and manage jobs programmatically. - [Python Client for TD-API](https://docs.treasure.ai/ja/apis/td-api/td-client/td-client-python.md): Learn how to use the Python client library (td-client) for Treasure API. List databases, issue queries, manage jobs, and import data via streaming or bulk import. - [Ruby Client for TD-API](https://docs.treasure.ai/ja/apis/td-api/td-client/td-client-ruby.md): Learn how to use the Ruby client library for Treasure API. List databases and tables, issue queries, manage jobs, and configure advanced options like proxies and timeouts. - [Project Instructions](https://docs.treasure.ai/ja/blog/images/ai-slide-design-consistency/claude.md) - [Sample Prompt for Screenshot](https://docs.treasure.ai/ja/blog/images/ai-slide-design-consistency/sample-prompt.md) - [Slide Design Standards](https://docs.treasure.ai/ja/blog/images/ai-slide-design-consistency/slide-style.md) - [Accessing your AI Suite Credits Utilization Dashboard](https://docs.treasure.ai/ja/products/control-panel/utilization/accessing-your-ai-suite-credits-utilization-dashboard.md): View and track your AI Suite Credits usage, including monthly credits, LLM conversations, and engagement metrics through the comprehensive utilization dashboard. - [Accessing your ICDP P+B Units Utilization Dashboard](https://docs.treasure.ai/ja/products/control-panel/utilization/accessing-your-icdp-pbunits-utilization-dashboard.md): Learn how to access and view your ICDP Profiles and Behaviors Utilization Dashboard, including monthly and daily consumption charts for tracking usage. - [Composable Audience Studio](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp.md): Treasure AI Composable CDP lets you build a customer data platform on top of your existing data warehouse and infrastructure. - [Integrate with BigQuery](https://docs.treasure.ai/ja/products/customer-data-platform/composable-publish/bigquery-integration.md): Learn how to integrate Treasure AI-managed Iceberg tables with Google BigQuery using BigQuery Omni and an AWS Glue federated dataset. - [Manage Databases](https://docs.treasure.ai/ja/products/customer-data-platform/composable-publish/database-management.md): Learn how to create and delete databases in the Iceberg Catalog using the Database Management API. - [Integrate with Databricks](https://docs.treasure.ai/ja/products/customer-data-platform/composable-publish/databricks-integration.md): Learn how to integrate Treasure AI-managed Iceberg tables with Databricks using Unity Catalog Glue HMS federation. - [Reading and Writing Iceberg Tables from Data Workbench](https://docs.treasure.ai/ja/products/customer-data-platform/composable-publish/iceberg-tables-data-workbench.md): Learn how to read and write Iceberg tables using the Trino query engine in Data Workbench. - [Database-Level Access Control for Iceberg Catalog](https://docs.treasure.ai/ja/products/customer-data-platform/composable-publish/permission-management.md): Learn how to manage database-level permissions for the Iceberg Catalog using the Permission Management API. - [Provision Resources](https://docs.treasure.ai/ja/products/customer-data-platform/composable-publish/resource-provisioning.md): Learn how to provision Iceberg catalog resources for your Treasure AI account using the Resource Provisioning API. - [Integrate with Snowflake](https://docs.treasure.ai/ja/products/customer-data-platform/composable-publish/snowflake-integration.md): Learn how to integrate Treasure AI-managed Iceberg tables with Snowflake using a Glue Iceberg REST catalog integration and Lake Formation vended credentials. - [Manage the Reader Role Trust Policy](https://docs.treasure.ai/ja/products/customer-data-platform/composable-publish/trust-policy-management.md): Read, append to, and replace the Treasure AI Iceberg catalog reader role trust policy so multiple integrations can assume the role without dropping each other. - [Composable Publish Tutorial: Publish Data to Databricks](https://docs.treasure.ai/ja/products/customer-data-platform/composable-publish/tutorial.md): Set up Composable Publish end to end — provision Iceberg catalog resources, connect Databricks, and publish Treasure AI tables for zero-copy reads. - [Use Iceberg Catalog Management API](https://docs.treasure.ai/ja/products/customer-data-platform/composable-publish/use-iceberg-catalog-api.md): Learn how to authenticate with the Iceberg Catalog Management API using TD1 API keys and find the correct endpoint for your site. - [What is ID Unification?](https://docs.treasure.ai/ja/products/customer-data-platform/id-unification/p0_introduction.md): Learn how ID Unification consolidates user identifiers across data sources, creating a unified customer profile by linking different IDs like email, device, and membership. - [Overview](https://docs.treasure.ai/ja/products/customer-data-platform/id-unification.md): Learn how to unify customer identifiers across channels, create comprehensive profiles, and track the full customer journey using Treasure Data's ID Unification capability. - [Limitations](https://docs.treasure.ai/ja/products/customer-data-platform/id-unification/p10_limitations.md): Learn the key limitations for ID unification, including maximum key columns, table count, and key occurrences in configuration settings. - [ID Unification Tips](https://docs.treasure.ai/ja/products/customer-data-platform/id-unification/p11_tips.md): Learn how to visualize graph table data using Graphviz, including SQL query techniques, CSV export, and data cleaning steps for ID unification. - [Files Required for ID Unification Workflow](https://docs.treasure.ai/ja/products/customer-data-platform/id-unification/p1_syntax.md): Comprehensive guide to creating dig and YAML files for ID unification workflows, with syntax examples and configuration options for data source mapping and ID resolution. - [ID Unification Output](https://docs.treasure.ai/ja/products/customer-data-platform/id-unification/p2_output_result.md): Learn how ID Unification generates databases and tables, including naming conventions, output structure, and how enriched tables with canonical IDs are created. - [Learning `canonical_id` for Cookie ID](https://docs.treasure.ai/ja/products/customer-data-platform/id-unification/p3_canonical_id_learning.md): Learn how to unify customer identities across multiple sites using `td_client_id` and `td_global_id` to create a comprehensive canonical ID tracking strategy. - [Learning `canonical_id` for Cookie ID and Email](https://docs.treasure.ai/ja/products/customer-data-platform/id-unification/p4_canonical_id_learning2.md): Learn how to unify customer identities across multiple sites using different ID types like cookie, global, and email identifiers in complex cross-site scenarios. - [Multiple Canonical IDs](https://docs.treasure.ai/ja/products/customer-data-platform/id-unification/p5_multiple_canonical_id.md): Learn how to generate multiple independent canonical IDs in ID unification, configure multiple ID keys, and set a parent segment for cross-table identity resolution. - [What is do_not_merge_key?](https://docs.treasure.ai/ja/products/customer-data-platform/id-unification/p6_do_not_merge.md): Learn how the `do_not_merge_key` option prevents record merging based on specific unique identifiers while allowing flexible stitching for records without those keys. - [What is incremental_update?](https://docs.treasure.ai/ja/products/customer-data-platform/id-unification/p7_incremental.md): Learn how incremental_update optimizes ID unification by reducing processing time and efficiently applying stitching only to updated customer records. - [About `persistent_id`](https://docs.treasure.ai/ja/products/customer-data-platform/id-unification/p8_persistent_id.md): Learn how persistent_id provides a stable, immutable identifier for tracking users across sessions, addressing limitations of canonical_id in customer data platforms. - [Knowledge about ID Unification](https://docs.treasure.ai/ja/products/customer-data-platform/id-unification/p9_knowledge.md): Learn about common misconceptions in ID Unification, key requirements for accurately matching customer identifiers, and best practices for data linking. - [Treasure Work](https://docs.treasure.ai/ja/products/treasure-ai-labs/treasure-work.md): Treasure Work is a Treasure AI Labs desktop app — an AI-native workspace pairing chat with guides, notes, work items, and goals for whole-day tasks. - [2018 1](https://docs.treasure.ai/ja/release-notes/archive/2018/2018-1.md) - [2018 Release Notes Summary](https://docs.treasure.ai/ja/release-notes/archive/2018/2018-release-notes-summary.md) - [Apr 2018 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2018/apr-2018-release-note.md) - [Aug 2018 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2018/aug-2018-release-note.md) - [Dec 2018 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2018/dec-2018-release-note.md) - [Feb 2018 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2018/feb-2018-release-note.md) - [Jan 2018 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2018/jan-2018-release-note.md) - [Jul 2018 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2018/jul-2018-release-note.md) - [Jun 2018 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2018/jun-2018-release-note.md) - [Mar 2018 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2018/mar-2018-release-note.md) - [May 2018 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2018/may-2018-release-note.md) - [Nov 2018 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2018/nov-2018-release-note.md) - [Oct 2018 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2018/oct-2018-release-note.md) - [Sept 2018 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2018/sept-2018-release-note.md) - [2019-1 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2019/2019-1.md) - [Apr 2019 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2019/apr-2019-release-note.md) - [Aug 2019 Release Notes](https://docs.treasure.ai/ja/release-notes/archive/2019/aug-2019-release-notes.md) - [Dec 2019 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2019/dec-2019-release-note.md) - [Feb 2019 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2019/feb-2019-release-note.md) - [Jun 2019 Release Notes](https://docs.treasure.ai/ja/release-notes/archive/2019/jun-2019-release-notes.md) - [Mar 2019 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2019/mar-2019-release-note.md) - [May 2019 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2019/may-2019-release-note.md) - [Nov 2019 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2019/nov-2019-release-note.md) - [Oct 2019 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2019/oct-2019-release-note.md) - [Sep 2019 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2019/sep-2019-release-note.md) - [Collapsible Navigation( "Link to this heading")](https://docs.treasure.ai/ja/release-notes/archive/2019/summary-of-updates-to-the-td-console-2019.md) - [2020 1 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2020/2020-1.md) - [April 2020 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2020/april-2020-release-note.md) - [August 2020 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2020/august-2020-release-note.md) - [December 2020 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2020/december-2020-release-note.md) - [Feb 2020 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2020/feb-2020-release-note.md) - [Jan 2020 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2020/jan-2020-release-note.md) - [July 2020 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2020/july-2020-release-note.md) - [June 2020 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2020/june-2020-release-note.md) - [Mar 2020 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2020/mar-2020-release-note.md) - [May 2020 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2020/may-2020-release-note.md) - [November 2020 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2020/november-2020-release-note.md) - [October 2020 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2020/october-2020-release-note.md) - [September 2020 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2020/september-2020-release-note.md) - [2021 Release note](https://docs.treasure.ai/ja/release-notes/archive/2021/2021.md) - [April 2021 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2021/april-2021-release-note.md) - [August 2021 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2021/august-2021-release-note.md) - [December 2021 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2021/december-2021-release-note.md) - [February 2021 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2021/february-2021-release-note.md) - [January 2021 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2021/january-2021-release-note.md) - [July 2021 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2021/july-2021-release-note.md) - [June 2021 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2021/june-2021-release-note.md) - [March 2021 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2021/march-2021-release-note.md) - [May 2021 Release Note-2](https://docs.treasure.ai/ja/release-notes/archive/2021/may-2021-release-note-2-0.md) - [May 2021 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2021/may-2021-release-note.md) - [November 2021 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2021/november-2021-release-note.md) - [October 2021 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2021/october-2021-release-note.md) - [September 2021 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2021/september-2021-release-note.md) - [2022 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2022/2022.md) - [April 2022 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2022/april-2022-release-note.md) - [August 2022 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2022/august-2022-release-note.md) - [December 2022 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2022/december-2022-release-note.md) - [February 2022 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2022/february-2022-release-note.md) - [January 2022 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2022/january-2022-release-note.md) - [July 2022 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2022/july-2022-release-note.md) - [June 2022 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2022/june-2022-release-note.md) - [March 2022 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2022/march-2022-release-note.md) - [May 2022 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2022/may-2022-release-note.md) - [November 2022 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2022/november-2022-release-note.md) - [October 2022 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2022/october-2022-release-note.md) - [September 2022 Release Note](https://docs.treasure.ai/ja/release-notes/archive/2022/september-2022-release-note.md) - [API Key Expiration Policy](https://docs.treasure.ai/ja/products/control-panel/security/api-key/api-key-expiration-policy.md): Configure API key expiration policies in Treasure AI to enforce regular key rotation at the system or user level. - [Configuring Expiration Reminders](https://docs.treasure.ai/ja/products/control-panel/security/api-key/configuring-expiration-reminders.md): Set up automated email and console notifications to alert API key owners before their keys expire in Treasure AI. - [About API Keys](https://docs.treasure.ai/ja/products/control-panel/security/api-key.md): Learn about API key types and management in Treasure AI, including Master keys, Write-only keys, and expiration policies. - [Manually Expiring API Keys](https://docs.treasure.ai/ja/products/control-panel/security/api-key/manually-expiring-api-keys.md): Learn how to immediately expire an API key in Treasure AI without deleting it, preserving audit history while deactivating access. - [Premium Audit Log Reference](https://docs.treasure.ai/ja/products/control-panel/security/auditlogs/premium-audit-log-reference.md): Complete column schema reference for the Premium Audit Log table in Treasure AI. - [Plan Your Policy Structure](https://docs.treasure.ai/ja/products/control-panel/security/policies/plan-your-policy-structure.md): Plan your organization's policy structure with guidance on creating, naming, and describing security policies for effective access management and control. - [Policy Based Composable Audience Studio Permissions](https://docs.treasure.ai/ja/products/control-panel/security/policies/policy-based-composable-audience-studio-permissions.md): Configure policy-based permissions for Composable Audience Studio parent segments and folders, and see which Audience Studio features it doesn't support. - [Configure column-level access control to keep PII out of LLMs](https://docs.treasure.ai/ja/products/customer-data-platform/ai-agent-foundry/security/configure-column-level-access-control-for-pii.md): Use Treasure AI Column-Level Access Control to mask PII in Audience Studio and Data Workbench while preventing PII from reaching external LLM providers when AI Agent Foundry agents run inference. - [Step 6: Access Composable Audience Studio](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/databricks/access-cas.md): Access your Composable Parent Segment in Audience Studio to build segments, preview profiles, and activate audiences. - [Step 3: Configure Databricks Authentication in Integration Hub](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/databricks/configure-databricks-authentication.md): Set up the Databricks authentication connection in Treasure AI Integration Hub for Composable Audience Studio. - [Step 4: Create the Parent Segment Configuration File](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/databricks/create-parent-segment-config.md): Define the JSON configuration for a Composable Parent Segment on Databricks, including master table, attributes, and behaviors. - [Composable Audience Studio for Databricks](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/databricks.md): Set up Composable Audience Studio on Databricks using Zero-Copy federated queries to build audience segments without copying data. - [Step 1: Prepare Your Databricks Data](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/databricks/prepare-databricks-data.md): Organize your Databricks tables for Composable Audience Studio, including Customers table, Behaviors tables, and Unity Catalog permissions. - [Step 2: Set Up Databricks Authentication](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/databricks/set-up-databricks-authentication.md): Create a service principal, generate OAuth secrets, and configure workspace access for Composable Audience Studio. - [Troubleshooting Composable Audience Studio for Databricks](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/databricks/troubleshooting.md): Resolve common issues with Databricks authentication, Parent Segment uploads, and CAS UI access. - [Step 5: Upload the Configuration via CDP API](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/databricks/upload-config-api.md): Use the CDP API to upload and create a Composable Parent Segment from your Databricks configuration file. - [Step 6: Access Composable Audience Studio](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/bigquery/access-cas.md): Access your Composable Parent Segment in Audience Studio to build segments, preview profiles, and activate audiences. - [Step 3: Configure BigQuery Authentication in Integration Hub](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/bigquery/configure-bigquery-authentication.md): Set up the BigQuery authentication connection in Treasure AI Integration Hub for Composable Audience Studio. - [Step 4: Create the Parent Segment Configuration File](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/bigquery/create-parent-segment-config.md): Define the JSON configuration for a Composable Parent Segment on BigQuery, including master table, attributes, and behaviors. - [Composable Audience Studio for BigQuery](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/bigquery.md): Set up Composable Audience Studio on BigQuery using Zero-Copy federated queries to build audience segments without copying data. - [Step 1: Prepare Your BigQuery Data](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/bigquery/prepare-bigquery-data.md): Organize your BigQuery tables for Composable Audience Studio, including Customers table, Behaviors tables, and IAM permissions. - [Step 2: Set Up BigQuery Authentication](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/bigquery/set-up-bigquery-authentication.md): Create a GCP service account, grant IAM roles, and generate a JSON key for Composable Audience Studio authentication. - [Troubleshooting Composable Audience Studio for BigQuery](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/bigquery/troubleshooting.md): Resolve common issues with BigQuery authentication, Parent Segment uploads, and CAS UI access. - [Step 5: Upload the Configuration via CDP API](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/bigquery/upload-config-api.md): Use the CDP API to upload and create a Composable Parent Segment from your BigQuery configuration file. - [Step 6: Access Composable Audience Studio](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/snowflake/access-cas.md): Access your Composable Parent Segment in Audience Studio to build segments, preview profiles, and activate audiences. - [Step 3: Configure Zero-Copy in Data Workbench](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/snowflake/configure-zero-copy.md): Set up the Zero-Copy federated query connection between Treasure AI and your Snowflake instance. - [Step 4: Create the Parent Segment Configuration File](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/snowflake/create-parent-segment-config.md): Define the JSON configuration for a Composable Parent Segment on Snowflake, including master table, attributes, and behaviors. - [Composable Audience Studio for Snowflake](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/snowflake.md): Set up Composable Audience Studio on Snowflake using Zero-Copy federated queries to build audience segments without copying data. - [Step 2: Create a Key Pair for Snowflake Authentication](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/snowflake/prepare-for-sf-authentication.md): Generate an RSA key pair and assign it to a Snowflake user for Composable Audience Studio authentication. - [Step 1: Prepare Your Snowflake Data](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/snowflake/prepare-sf-data.md): Organize your Snowflake tables for Composable Audience Studio, including Customers table, Behaviors tables, and permissions setup. - [Troubleshooting Composable Audience Studio for Snowflake](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/snowflake/troubleshooting.md): Resolve common issues with Zero-Copy connections, Parent Segment uploads, and CAS UI access for Snowflake. - [Step 5: Upload the Configuration via CDP API](https://docs.treasure.ai/ja/products/customer-data-platform/composable-cdp/snowflake/upload-config-api.md): Use the CDP API to upload and create a Composable Parent Segment from your Snowflake configuration file. - [Customer Lifetime Value (CLTV) Forecasting](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/ai-signals/cltv-ai-signals.md): Powered by Treasure AI's AI/ML platform, forecast per-customer lifetime value and churn probability using probabilistic (BG/NBD + Gamma-Gamma) or AutoML (FLAML) models on transaction history. - [Next Best Action (NBA) Recommendation](https://docs.treasure.ai/ja/products/customer-data-platform/machine-learning/ai-signals/nba-ai-signals.md): Powered by Treasure AI's AI/ML platform, recommend the next best action — channel, send time, or offer — for every customer using contextual bandit models on interaction history. - [Channels](https://docs.treasure.ai/ja/products/marketing-cloud/engage-studio/channels.md): Comprehensive guide to multi-channel communication in Engage Studio, covering email, mobile push, SMS, in-app, and regional messaging platforms. - [TD Presto 350 Release Note](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/archives/presto-350.md): Comprehensive release notes for TD Presto 350, detailing performance improvements, new UDFs, SQL support, JDBC enhancements, and migration guidance for data professionals. - [Hive 4 Release Note](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/hive/hive4.md): Learn how to use Hive 4 on Treasure AI Data Workbench, including configuration methods via console, TD Toolbelt, and Python Client. - [Migrating Hive Queries into Trino](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/hive/hive_queries_into_presto.md): Learn how to migrate Hive queries to Trino, covering key syntax differences, type conversion changes, and best practices for seamless SQL query transformation. - [Hive Performance Tuning](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/hive/performance_tuning.md): Learn how to optimize Hive query performance with time-based partitioning, partition detection techniques, and best practices for efficient data querying. - [Hive Quickstart](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/hive/quickstart.md): Learn how to use Treasure AI's Hive service for batch data processing, running SQL-like queries on large datasets with flexible schema options. - [Hive Resource Pools](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/hive/resource_pools.md): Manage Hive workload performance with resource pools, enabling priority job scheduling, ad hoc query support, and efficient resource allocation across projects and use cases. - [Hive Troubleshooting](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/hive/troubleshooting.md): Comprehensive guide to diagnosing and resolving Hive disk space errors in Hadoop clusters, including local storage limits, HDFS quota issues, and troubleshooting strategies. - [Writing Hive Queries](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/hive/writing_hive_queries.md): Learn how to write Hive queries using HiveQL, including SELECT statement syntax, column manipulation, filtering, aggregation, and leveraging built-in functions. - [SQL DDL Differences between Hive and Trino](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/sql-reference/ddl_differences.md): Comprehensive guide comparing SQL DDL commands and syntax differences between Hive and Trino for data definition and table management tasks. - [SQL Tips for Hive and Trino](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/sql-reference/sql_tips.md): Learn SQL PIVOT and UNPIVOT techniques for transforming data in Hive and Trino, with practical examples of converting rows to columns and vice versa. - [Treasure AI Hive Function Reference](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/sql-reference/td_hive_function_reference.md): Comprehensive guide to Treasure Data's custom Hive UDFs, including TD_ARRAY_INDEX, TD_AVGIF, and TD_DATE_TRUNC functions for advanced data manipulation and analysis. - [Hivemall Function Reference](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/sql-reference/td_hivemall_reference.md): Comprehensive reference for Apache Hivemall machine learning functions, covering version detection, approximate counting, text processing, and data analytics utilities. - [Supported Time Formats in TD TIME FORMAT UDF](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/sql-reference/td_timeformats.md): Comprehensive reference for time format specifiers in TD_TIME_FORMAT_UDF, covering era, year, month, week, day, hour, minute, second, and timezone details. - [Time Zones Supported for TD Functions](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/sql-reference/td_supported_timezones.md): Comprehensive list of time zone identifiers supported by Treasure AI's TD functions in Trino and Hive, including standard and daylight saving time zones. - [Treasure AI Trino Function Reference](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/sql-reference/td_trino_function_reference.md): Comprehensive Trino function reference for Treasure Data, covering native and custom SQL functions like TD_APPROX_MOST_FREQUENT and TD_CURRENCY_CONV. - [User-defined partitioning (UDP)](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/sql-reference/udp.md): Learn how User-defined partitioning (UDP) improves query performance in Trino by enabling efficient data lookup, aggregation, and joins across large datasets. - [Data Tanks Using Trino](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/trino/data_tanks_using_presto.md): Learn how to query data stored in Treasure AI Data Tanks using Trino through Treasure Console, with benefits and key querying capabilities explained. - [How Trino Works](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/trino/how_trino_works.md): Explore Trino's distributed SQL query architecture, learn how coordinator and worker nodes process complex queries, and understand its high-performance, in-memory query execution model. - [Trino Performance Tuning](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/trino/performance_tuning.md): Learn how to optimize Trino query performance with key strategies like time range filtering, efficient joins, columnar storage techniques, and selective column selection. - [Trino Quickstart](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/trino/quickstart.md): Learn how to quickly set up and access Trino, the distributed SQL query engine, in Treasure Data's Data Workbench with multiple connection methods and setup guidance. - [Trino Query FAQs](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/trino/query_faqs.md): Comprehensive guide to Trino query FAQs, covering reliability, network transfer challenges, query processing, and migration tips from Hive to Trino SQL. - [TD Trino 423 Release Note](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/trino/trino-423.md): Comprehensive release notes for Trino 423, detailing performance enhancements for joins, new UDFs, SQL support, JDBC improvements, and tzdata updates. - [Trino Troubleshooting](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/trino/troubleshooting.md): Learn how to manage Trino query execution time limits, troubleshoot runtime issues, and use query hints to override default settings for optimal performance. - [Writing Trino Queries](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/queries/trino/writing_trino_queries.md): Learn how to write effective Trino queries using basic SQL functions like SELECT, aggregate functions, and techniques for data analysis and retrieval. - [Custom Scripts Python API](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/customscript/python-api.md): Learn how to create custom Python scripts for workflow automation, including task definition, variable handling, method mapping, and subtask generation. - [bq>: Running Google BigQuery queries](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/bq.md): Run Google BigQuery queries with the bq> operator, specifying SQL files, destination tables, and configuring standard or legacy SQL syntax. - [bq_ddl>: Managing Google BigQuery Datasets and Tables](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/bq_ddl.md): Dynamically manage Google BigQuery datasets and tables with the bq_ddl> operator, including creation, deletion, and clearing of data resources with flexible configuration options. - [bq_extract>: Exporting Data from Google BigQuery](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/bq_extract.md): Learn how to export data from Google BigQuery tables using the bq_extract> operator, with configuration options for destination, compression, and file formats. - [bq_load>: Importing Data into Google BigQuery](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/bq_load.md): Learn how to use the bq_load> operator to import data from Google Cloud Storage into BigQuery tables with configuration examples and secret management. - [call>: Calls another workflow](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/call.md): Learn how to use the call> operator to embed and execute subtask workflows in Digdag, with examples of calling workflow files and managing task dependencies. - [databricks>: Execute SQL statements on Databricks](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/databricks.md): Execute SQL statements on Databricks SQL warehouses with support for query files, parameterized queries, result storage, and authentication methods. - [echo>: Shows a message](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/echo.md): Display a simple message in workflows using the echo> operator, with an example of printing "Hello world!" to demonstrate basic message output. - [fail>: Makes the workflow failed](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/fail.md): Learn how to use the fail> operator to intentionally halt workflows when conditions aren't met, with practical examples and error messaging techniques. - [for_each>: Repeat tasks for values](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/for_each.md): Learn how to use the for_each> operator to dynamically repeat workflow tasks across multiple variable sets with parallel execution options. - [for_range>: Repeat tasks for a range](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/for_range.md): Learn how to use the for_range> operator to repeat tasks across a range of values, with options for step size and slice control in workflow automation. - [gcs_wait>: Wait for a file in Google Cloud Storage](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/gcs_wait.md): Wait for files in Google Cloud Storage with the gcs_wait> operator, specifying bucket and object paths, and retrieving file metadata for workflow automation. - [http>: Making HTTP requests](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/http.md): Learn how to use the http> operator to make HTTP requests, fetch data, send notifications, and handle authentication in Digdag workflows. - [http_call>: Call workflow fetched by HTTP](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/http_call.md): Explains how the http_call> operator fetches and executes remote workflows via HTTP, supporting JSON and YAML content types with flexible configuration options. - [if>: Conditional execution](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/if.md): Learn how to use the if> operator for conditional task execution in workflows, with examples of running subtasks based on true or false conditions. - [Workflow Operators](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators.md): Comprehensive guide to workflow operators in Treasure AI, covering control, TD-specific, network, and database operators for efficient data processing and workflow management. - [loop>: Repeat tasks](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/loop.md): Learn how to use the loop> operator to repeat tasks multiple times in workflows, with control over parallel execution and access to iteration variables. - [mail>: Sending email](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/mail.md): Learn how to send emails using the mail> operator in Digdag workflows, with Gmail SMTP configuration, recipient options, and error handling techniques. - [pg>: PostgreSQL operations](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/pg.md): Run PostgreSQL queries and DDL operations with secure database connections, table creation, and result handling in data workflows. - [py>: Python scripts](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/py.md): Learn how to use the py> operator to run Python scripts in Treasure Workflow, including method specification, secrets management, and configuration options. - [redshift>: Redshift operations](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/redshift.md): Learn how to use the redshift> operator to run SQL queries and DDL operations on Amazon Redshift, with configuration options and workflow examples. - [redshift_load>: Redshift load operations](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/redshift_load.md): Comprehensive guide to using the redshift_load> operator for loading data into Amazon Redshift with extensive configuration options and customizable parameters. - [redshift_unload>: Redshift unload operations](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/redshift_unload.md): Learn how to use the redshift_unload> operator to export Redshift data to external storage with configurable options like S3 destination, manifest, encryption, and formatting. - [require>: Depends on another workflow](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/require.md): Explains the require> operator in Treasure AI workflows, showing how to depend on and wait for another workflow's completion before proceeding. - [s3_copy>: Copy files in Amazon S3](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/s3_copy.md): Copy files within Amazon S3 using the s3_copy> operator, with options for specifying source and destination paths, AWS credentials, and region settings. - [s3_delete>: Delete files in Amazon S3](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/s3_delete.md): Learn how to use the s3_delete> operator to delete files from Amazon S3 buckets, with examples of simple and parameterized file deletion methods. - [s3_move>: Move files in Amazon S3](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/s3_move.md): Learn how to use the s3_move> operator to move files within Amazon S3 by copying to a destination and deleting the source file in your workflow. - [s3_wait>: Wait for a file in Amazon S3](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/s3_wait.md): Learn how to use the s3_wait> operator to pause workflow execution until a specific file appears in an Amazon S3 bucket, with configurable AWS authentication options. - [snowflake>: Execute SQL statements on Snowflake](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/snowflake.md): Learn how to execute SQL statements on Snowflake using the snowflake> operator, with support for file-based queries, parameter bindings, and result storage. - [td>: Treasure AI queries](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/td.md): Run Hive and Trino queries on Treasure Data with the td> operator, including query execution, table creation, result handling, and connection settings. - [td_ddl>: Treasure AI operations](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/td_ddl.md): Learn how to use the td_ddl> operator to create, drop, empty, and rename tables in Treasure AI workflows with database management and configuration options. - [td_for_each>: Repeat using Treasure AI queries](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/td_for_each.md): Automate workflow tasks by iterating through query results using td_for_each operator, with dynamic parameter substitution and optional parallel execution. - [td_load>: Treasure AI bulk loading](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/td_load.md): Treasure AI's td_load> operator guide: Learn how to bulk load data from various sources into databases and tables using configuration files. - [td_result_export>: Treasure AI result exporter](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/td_result_export.md): Export Treasure AI job results to external destinations using the td_result_export> operator with configurable connection and settings options. - [td_run>: Treasure AI saved queries](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/td_run.md): Learn how to use the td_run> operator to execute saved Treasure AI queries in workflows, with options for query ID, session time, and result storage. - [td_table_export>: Treasure AI table export to S3](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/td_table_export.md): Export Treasure AI tables to S3 with specific time range and file format using the td_table_export operator, including AWS and TD API key configuration. - [td_wait>: Waits for data arriving at Treasure AI table](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/td_wait.md): Wait for data arrival in Treasure AI tables using td_wait> operator, with flexible query checks and support for complex conditions and variable embedding. - [td_wait_table>: Waits for data arriving at Treasure AI table](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/td_wait_table.md): Workflow operator to pause task execution until a specified Treasure Data table reaches a target number of records, enabling data-dependent workflow control. - [wait>: Wait for a specific duration](https://docs.treasure.ai/ja/products/customer-data-platform/data-workbench/workflows/operators/wait.md): Wait operator for introducing precise time delays in workflows, supporting blocking and non-blocking modes with configurable polling intervals. - [TD JS SDK APIs](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/api.md): Comprehensive guide to Treasure AI JavaScript SDK APIs, covering configuration, initialization, and core parameters for event tracking and data integration. - [Treasure AI JavaScript Consent Extension](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/consent-manager.md): Manage user data collection preferences with Treasure Data's JavaScript Consent Extension, enabling granular consent controls and context-specific data usage settings. - [Treasure AI JavaScript SDK Quickstart](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/td-javascript-sdk/quickstart.md) - [Treasure AI Android and iOS SDKs Cordova Plugin](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/mobile/cordova.md): Comprehensive Cordova plugin for Treasure AI Mobile SDK, enabling easy event tracking and data collection for iOS and Android hybrid mobile applications. - [TD Cordova SDK API Reference](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/mobile/cordova/api.md): Comprehensive Cordova SDK API reference for Treasure AI, covering setup, configuration, and event tracking for mobile app data integration. - [TD React Native SDK API Reference](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/mobile/react-native/api.md): Comprehensive API reference for Treasure Data's React Native SDK, covering setup, configuration, and data ingestion methods for mobile app tracking and analytics. - [React Native SDK Quickstart](https://docs.treasure.ai/ja/products/customer-data-platform/integration-hub/streaming/mobile/react-native/quickstart.md): Quick guide to integrating the Treasure AI React Native SDK, covering installation, initialization, and event tracking for mobile app analytics. - [Treasure Workflow](https://docs.treasure.ai/apis/workflow.md) - [cdp-api](https://docs.treasure.ai/apis/td_cdp_api-public.md) - [First class Data Warehouse Integration API](https://docs.treasure.ai/apis/dwh-integration-api/openapi.md) - [First class Data Warehouse Integration API](https://docs.treasure.ai/apis/dwh_integration_api-public.md) - [llm-api](https://docs.treasure.ai/apis/llm_api-public.md) - [Personalization Service](https://docs.treasure.ai/apis/p13n-api/openapi.md) - [postback-api](https://docs.treasure.ai/apis/postback/openapi.md) - [postback-api-v2](https://docs.treasure.ai/apis/postback-v2/openapi.md) - [Treasure Data API](https://docs.treasure.ai/apis/td_api_v3-public.md) - [Treasure Workflow](https://docs.treasure.ai/ja/apis/workflow.md) - [cdp-api](https://docs.treasure.ai/ja/apis/td_cdp_api-public.md) - [First class Data Warehouse Integration API](https://docs.treasure.ai/ja/apis/dwh-integration-api/openapi.md) - [First class Data Warehouse Integration API](https://docs.treasure.ai/ja/apis/dwh_integration_api-public.md) - [llm-api](https://docs.treasure.ai/ja/apis/llm_api-public.md) - [Personalization Service](https://docs.treasure.ai/ja/apis/p13n-api/openapi.md) - [postback-api](https://docs.treasure.ai/ja/apis/postback/openapi.md) - [postback-api-v2](https://docs.treasure.ai/ja/apis/postback-v2/openapi.md) - [Treasure Data API](https://docs.treasure.ai/ja/apis/td_api_v3-public.md)