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Update src/unify/data-graph/setup-guides/BigQuery-setup.md
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src/unify/data-graph/setup-guides/BigQuery-setup.md

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## Step 2: Create a dataset for Segment to store checkpoint tables
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**Segment requires write access to this dataset for internal bookkeeping and to store checkpoint tables for the queries that are executed. Therefore, Segment recommends creating a new dataset for this purpose.**
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Create a new dataset as Segment requires write access to the dataset for internal bookkeeping and to store checkpoint tables for the queries that are executed.
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> info ""
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> Segment recommends creating a new dataset for the Data Graph.
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> If you choose to use an existing dataset that has also been used for [Segment Reverse ETL](/docs/connections/reverse-etl/), you must follow the [additional instructions](#update-user-access-for-segment-reverse-etl-catalog) to update user access for the Segment Reverse ETL catalog.
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Navigate to the BigQuery SQL editor and create a dataset that will be used by Segment.
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Segment recommends you to create a new dataset for the Data Graph. If you choose to use an existing dataset that has also been used for [Segment Reverse ETL](/docs/connections/reverse-etl/), you must follow the [additional instructions](/docs/unify/data-graph/setup-guides/bigquery-setup/#update-user-access-for-segment-reverse-etl-dataset) to update user access for the Segment Reverse ETL catalog.
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```
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CREATE SCHEMA IF NOT EXISTS `__segment_reverse_etl`;
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GRANT `roles/bigquery.dataEditor` ON SCHEMA `__segment_reverse_etl` TO "serviceAccount:<YOUR SERVICE ACCOUNT EMAIL>";
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```
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To create your dataset, navigate to the BigQuery SQL editor and create a dataset that will be used by Segment.
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## Step 3: Grant read-only access for the Data Graph
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Grant the [BigQuery Data Viewer](https://cloud.google.com/bigquery/docs/access-control#bigquery.dataViewer){:target="_blank"} role to the service account at the project level. Make sure to grant read-only access to the Profiles Sync project in case you have a separate project.

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