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Copy file name to clipboardExpand all lines: src/unify/profiles-sync/profiles-sync-setup/index.md
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@@ -134,26 +134,24 @@ Reach out to [Segment support](https://app.segment.com/workspaces?contact=1){:ta
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### Step 4 (Optional): Materialize key views using a SQL automation tool
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During setup, you have the option of setting up materialized key views in one of two ways:
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During setup, you can materialize key views in one of two ways:
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1. You can choose to materialize views on your own by using `profiles raw tables`.
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You may want to materialize your own tables if, for example, you want to transform additional data or join Segment profile data with external data before materialization.
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2. You can choose to use Segment's open source dbt models by using `profiles materialized` tables.
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-**Use `profiles raw tables`**: Materialize views on your own. This option is useful if you need to transform additional data or join Segment profile data with external data before materialization.
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-**Use Segment’s open-source dbt models with `profiles materialized` tables**: Prebuilt models maintained by Segment.
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> success ""
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> You can alternatively use [tables that Segment materializes](/docs/unify/profiles-sync/tables/#tables-segment-materializes) and syncs to your data warehouse.
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> You can also use [tables that Segment materializes](/docs/unify/profiles-sync/tables/#tables-segment-materializes) and syncs to your data warehouse.
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To start seeing unified profiles in your warehouse and build attribution models, you'll need to materialize the tables that Profiles Sync lands into three key views:
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To see unified profiles in your warehouse and build attribution models, materialize the tables that Profiles Sync lands into three key views:
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*`id_graph`: the current state of relationships between segment ids
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*`external_id_mapping`: the current-state mapping between each external identifier you’ve observed and its corresponding, fully-merged `canonical_segment_id`
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*`profile_traits`: the last seen value for all custom traits, computed traits, SQL traits, audiences, and journeys associated with a profile in a single row
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-`id_graph`: the current state of relationships between Segment IDs
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-`external_id_mapping`: the mapping between each external identifier you’ve observed and its corresponding, fullymerged `canonical_segment_id`
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-`profile_traits`: the last seen value for all custom traits, computed traits, SQL traits, audiences, and journeys associated with a profile in a single row
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See [Tables you materialize](/docs/unify/profiles-sync/tables/#tables-you-materialize) for more on how to materialize these views either on your own, or with [Segment's opensource dbt models](https://github.com/segmentio/profiles-sync-dbt){:target="blank"}.
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See [Tables you materialize](/docs/unify/profiles-sync/tables/#tables-you-materialize) for details on how to materialize these views on your own or with [Segment’s open-source dbt models](https://github.com/segmentio/profiles-sync-dbt){:target="_blank"}.
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> warning ""
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> Note that dbt models are in beta and need modifications to run efficiently on BigQuery, Synapse, and Postgres warehouses. Segment is actively working on this feature.
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> The dbt models are in beta and require modifications to run efficiently on BigQuery, Synapse, and Postgres warehouses.
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