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Copy file name to clipboardExpand all lines: src/unify/data-graph/data-graph.md
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@@ -3,14 +3,23 @@ title: Data Graph
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plan: unify
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beta: true
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hidden: true
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redirect_from:
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- '/unify/linked-profiles/data-graph'
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---
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> info "Segment's Data Graph is in public beta"
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> Data Graph is in public beta, and Segment is actively working on this feature. Some functionality may change before it becomes generally available.
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You can build a Data Graph that defines relationships between any entity data set in the warehouse and the Segment Profiles you send with Profiles Sync. Make this relational data accessible to marketers and business stakeholders to empower them with the data they need to create targeted and personalized customer engagements.
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With Linked Audiences, you can build a Data Graph that defines relationships between any entity data set in the warehouse and the Segment Profiles you send with Profiles Sync. Make this relational data accessible to marketers and business stakeholders to empower them with the data they need to create targeted and personalized customer engagements.
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Using the Data Graph, you can reflect your business in your data model. The Data Graph enables businesses to map and understand the relationships between different datasets about their customers (accounts, subscriptions, households, products), and tie rich entity context back to the profile.
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Segment's Data Graph powers [Linked Events](/docs/unify/data-graph/linked-events/) and [Linked Audiences](/docs/engage/audiences/linked-audiences/).
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> info ""
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> Data Graph currently only supports workspaces in the United States.
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Using Data Graph, you only need to define the relationships between data sets one time to make data accessible to marketers and business stakeholders to build targeted and personalized customer engagements.
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The Data Graph powers:
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-[Linked Audiences](/docs/engage/audiences/linked-audiences/): enables marketers to build targeting logic based on data points available in the data graph in a self-service way. Start by building a [Data Graph](/docs/unify/data-graph/data-graph/) that defines relationships between any data set in the warehouse and the Segment Profiles you send with Profiles Sync. From there, use Linked Audiences to unlock a world of new hyper-personalized campaigns.
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-[Linked Events](/docs/unify/data-graph/linked-events/): enables data teams to enrich event streams, in real time, with any data set coming from a data warehouse or data lake, and send those enriched events to any Destination. Start by building a [Data Graph](/docs/unify/data-graph/data-graph/) with the data models you want to use, and then use set up the enrichment in Destinations or Functions.
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To help you get started with the Data Graph, [view this short setup demo](https://drive.google.com/file/d/1oZNvs0raYaxK6tds3OEF0Ri3NGVCoXys/view?pli=1){:target="_blank"}.
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To use the Data Graph, you'll need the following:
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- A supported data warehouse.
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- A supported data warehouse.
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- (If setting up Linked Audiences) [Profiles Sync](/docs/unify/profiles-sync/) set up with ready-to-use [data models and tables](/docs/unify/profiles-sync/tables/) in your warehouse.
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- Workspace Owner or Unify Read-only/Admin and Entities Admin permissions.
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## Step 1: Set up required permissions in your data warehouse
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To get started, set up the required permissions in your data warehouse using the instructions below:
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To get started, set up the required permissions:
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-[Snowflake](/docs/unify/data-graph/setup-guides/snowflake-setup/) and [Databricks](/docs/unify/data-graph/setup-guides/databricks-setup/) are supported by both Linked Events and Linked Audiences.
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-[Redshift](/docs/unify/data-graph/setup-guides/redshift-setup/) and [BigQuery](/docs/unify/data-graph/setup-guides/BigQuery-setup/) are currently supported for Linked Events.
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The Data Graph is a semantic layer that represents a subset of relevant business data that you'll use for audience targeting and personalization in downstream tools. Use the configuration language spec below to add models to build your Data Graph. The Data Graph currently supports 4 layers of depth, including the Profile entity. Warehouse schemas are case sensitive, so you'll need to reflect the schema, table, and column names based on how you case them in the warehouse.
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To leverage the Data Graph auto-complete feature, begin typing or use the following keyboard shortcuts to autocomplete the profile_folder and table_ref properties.
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