{"templateId":"markdown","sharedDataIds":{"sidebar":"sidebar-@l10n/ja/sidebars.yaml"},"props":{"metadata":{"markdoc":{"tagList":[]},"type":"markdown"},"seo":{"title":"Composable Audience Studio for Databricks","description":"Set up Composable Audience Studio on Databricks using Zero-Copy federated queries to build audience segments without copying data.","siteUrl":"https://docs.treasure.ai","lang":"en-US","jsonLd":{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://www.treasure.ai/","name":"Treasure AI","url":"https://www.treasure.ai/","logo":"https://www.treasure.ai/hubfs/assets/images/logos/primary-logo.svg"},{"@type":"WebSite","@id":"https://docs.treasure.ai/#website","name":"Treasure AI Documentation","url":"https://docs.treasure.ai/","inLanguage":["en","ja"],"publisher":{"@id":"https://www.treasure.ai/"}}]},"llmstxt":{"hide":false,"sections":[{"title":"Table of contents","includeFiles":["**/*"],"excludeFiles":[]}],"excludeFiles":[]}},"dynamicMarkdocComponents":[],"compilationErrors":[],"ast":{"$$mdtype":"Tag","name":"article","attributes":{},"children":[{"$$mdtype":"Tag","name":"Heading","attributes":{"level":1,"id":"overview","__idx":0},"children":["Overview"]},{"$$mdtype":"Tag","name":"p","attributes":{},"children":["Composable Audience Studio (CAS) is a deployment mode of Treasure AI's Customer Data Platform that enables you to build and manage audience segments directly on your Databricks data warehouse without copying data into Treasure AI. Using Zero-Copy / Federated Query architecture, CAS queries your Databricks tables in place, keeping data under your existing governance and access controls."]},{"$$mdtype":"Tag","name":"p","attributes":{},"children":["This guide walks through the end-to-end process of setting up a Composable Parent Segment on Databricks, from connection configuration to segment creation."]},{"$$mdtype":"Tag","name":"Heading","attributes":{"level":2,"id":"what-you-will-set-up","__idx":1},"children":["What You Will Set Up"]},{"$$mdtype":"Tag","name":"ol","attributes":{},"children":[{"$$mdtype":"Tag","name":"li","attributes":{},"children":["Service principal and OAuth authentication for secure Databricks access"]},{"$$mdtype":"Tag","name":"li","attributes":{},"children":["Databricks authentication configuration to connect Treasure AI to your Databricks workspace"]},{"$$mdtype":"Tag","name":"li","attributes":{},"children":["Parent Segment configuration file defining your customer and behavior tables"]},{"$$mdtype":"Tag","name":"li","attributes":{},"children":["API upload of the configuration to create the Parent Segment in CAS"]}]},{"$$mdtype":"Tag","name":"Heading","attributes":{"level":2,"id":"prerequisites","__idx":2},"children":["Prerequisites"]},{"$$mdtype":"Tag","name":"p","attributes":{},"children":["Before you begin, ensure you have:"]},{"$$mdtype":"Tag","name":"ul","attributes":{},"children":[{"$$mdtype":"Tag","name":"li","attributes":{},"children":["A Treasure AI account with admin-level permissions"]},{"$$mdtype":"Tag","name":"li","attributes":{},"children":["A Databricks workspace with:",{"$$mdtype":"Tag","name":"ul","attributes":{},"children":[{"$$mdtype":"Tag","name":"li","attributes":{},"children":["Unity Catalog enabled with a catalog, schema, and tables containing your customer and event data"]},{"$$mdtype":"Tag","name":"li","attributes":{},"children":["A SQL warehouse or compute cluster available for query execution"]},{"$$mdtype":"Tag","name":"li","attributes":{},"children":["A service principal with appropriate permissions on the target catalog/schema/tables"]}]}]},{"$$mdtype":"Tag","name":"li","attributes":{},"children":["A Treasure AI API key (Master API key recommended)"]}]},{"$$mdtype":"Tag","name":"Heading","attributes":{"level":2,"id":"architecture","__idx":3},"children":["Architecture"]},{"$$mdtype":"Tag","name":"p","attributes":{},"children":["Data never leaves your Databricks environment. Treasure AI sends federated queries and receives results at query time."]},{"$$mdtype":"Tag","name":"Diagram","attributes":{"data-language":"mermaid","diagramType":"mermaid","diagramSource":"graph LR\n subgraph TD[\"Treasure AI\"]\n CAS[\"Composable Audience Studio - Segment Builder - Activation - Insights\"]\n end\n\n subgraph DB[\"Your Databricks Workspace\"]\n CT[\"Your Table (profiles + attributes)\"]\n BT1[\"Behaviors Table 1\"]\n BT2[\"Behaviors Table 2\"]\n BTN[\"Behaviors Table N ...\"]\n end\n\n CAS <-->|\"Zero Copy / Query\"| CT\n CAS <-->|\"Zero Copy / Query\"| BT1\n CAS <-->|\"Zero Copy / Query\"| BT2\n CAS <-->|\"Zero Copy / Query\"| BTN\n","diagramHtml":"","diagramHtmlDark":""},"children":["graph LR\n subgraph TD[\"Treasure AI\"]\n CAS[\"Composable Audience Studio - Segment Builder - Activation - Insights\"]\n end\n\n subgraph DB[\"Your Databricks Workspace\"]\n CT[\"Your Table (profiles + attributes)\"]\n BT1[\"Behaviors Table 1\"]\n BT2[\"Behaviors Table 2\"]\n BTN[\"Behaviors Table N ...\"]\n end\n\n CAS <-->|\"Zero Copy / Query\"| CT\n CAS <-->|\"Zero Copy / Query\"| BT1\n CAS <-->|\"Zero Copy / Query\"| BT2\n CAS <-->|\"Zero Copy / Query\"| BTN\n"]},{"$$mdtype":"Tag","name":"Heading","attributes":{"level":2,"id":"parent-segment-data-model","__idx":4},"children":["Parent Segment Data Model"]},{"$$mdtype":"Tag","name":"p","attributes":{},"children":["A Composable Parent Segment is composed of a single Customers table and multiple Behaviors tables."]},{"$$mdtype":"Tag","name":"Heading","attributes":{"level":3,"id":"customers-table","__idx":5},"children":["Customers Table"]},{"$$mdtype":"Tag","name":"p","attributes":{},"children":["The Customers table stores unified profile data and attributes, with each record representing a single profile. A unique identifier column is required for each profile."]},{"$$mdtype":"Tag","name":"ul","attributes":{},"children":[{"$$mdtype":"Tag","name":"li","attributes":{},"children":["Contains all customer attributes (e.g., email, name, city, membership tier, LTV)"]},{"$$mdtype":"Tag","name":"li","attributes":{},"children":["Each row = one unique customer profile"]},{"$$mdtype":"Tag","name":"li","attributes":{},"children":["Unique identifier column serves as the primary key"]}]},{"$$mdtype":"Tag","name":"Heading","attributes":{"level":3,"id":"behaviors-tables","__idx":6},"children":["Behaviors Tables"]},{"$$mdtype":"Tag","name":"p","attributes":{},"children":["Behaviors tables contain activity records for specific actions taken by profiles (e.g., website visits, orders). Each Behaviors table must include a unique ID column that links the activity record to the corresponding customer profile via the Unique identifier."]},{"$$mdtype":"Tag","name":"ul","attributes":{},"children":[{"$$mdtype":"Tag","name":"li","attributes":{},"children":["Each table represents a distinct type of activity (page views, purchases, etc.)"]},{"$$mdtype":"Tag","name":"li","attributes":{},"children":["Multiple behavior records can exist per customer"]},{"$$mdtype":"Tag","name":"li","attributes":{},"children":["Must include a time column for temporal queries"]}]},{"$$mdtype":"Tag","name":"Heading","attributes":{"level":3,"id":"composable-parent-segment-data-model","__idx":7},"children":["Composable Parent Segment Data Model"]},{"$$mdtype":"Tag","name":"Diagram","attributes":{"data-language":"mermaid","diagramType":"mermaid","diagramSource":"erDiagram\n Customers ||--o{ \"Behaviors Table 1\" : \"1 to many\"\n Customers ||--o{ \"Behaviors Table 2\" : \"1 to many\"\n Customers ||--o{ \"Behaviors Table 3\" : \"1 to many\"\n\n Customers {\n string unique_id PK\n string email\n string name\n string city\n string membership_tier\n float ltv\n }\n\n \"Behaviors Table 1\" {\n string unique_id FK\n timestamp time\n string action\n }\n\n \"Behaviors Table 2\" {\n string unique_id FK\n timestamp time\n string action\n }\n\n \"Behaviors Table 3\" {\n string unique_id FK\n timestamp time\n string action\n }\n","diagramHtml":"","diagramHtmlDark":""},"children":["erDiagram\n Customers ||--o{ \"Behaviors Table 1\" : \"1 to many\"\n Customers ||--o{ \"Behaviors Table 2\" : \"1 to many\"\n Customers ||--o{ \"Behaviors Table 3\" : \"1 to many\"\n\n Customers {\n string unique_id PK\n string email\n string name\n string city\n string membership_tier\n float ltv\n }\n\n \"Behaviors Table 1\" {\n string unique_id FK\n timestamp time\n string action\n }\n\n \"Behaviors Table 2\" {\n string unique_id FK\n timestamp time\n string action\n }\n\n \"Behaviors Table 3\" {\n string unique_id FK\n timestamp time\n string action\n }\n"]},{"$$mdtype":"Tag","name":"p","attributes":{},"children":["The relationship between Customers and each Behaviors table is 1-to-many: one customer profile can have many behavior records."]}]},"headings":[{"value":"Overview","id":"overview","depth":1},{"value":"What You Will Set Up","id":"what-you-will-set-up","depth":2},{"value":"Prerequisites","id":"prerequisites","depth":2},{"value":"Architecture","id":"architecture","depth":2},{"value":"Parent Segment Data Model","id":"parent-segment-data-model","depth":2},{"value":"Customers Table","id":"customers-table","depth":3},{"value":"Behaviors Tables","id":"behaviors-tables","depth":3},{"value":"Composable Parent Segment Data Model","id":"composable-parent-segment-data-model","depth":3}],"frontmatter":{"seo":{"title":"Composable Audience Studio for Databricks","description":"Set up Composable Audience Studio on Databricks using Zero-Copy federated queries to build audience segments without copying data."}},"lastModified":"2026-08-14T22:18:35.000Z","pagePropGetterError":{"message":"","name":""}},"slug":"/ja/products/customer-data-platform/composable-cdp/audience-studio/databricks","userData":{"isAuthenticated":false,"teams":["anonymous"]},"isPublic":true}