> For the complete documentation index, see [llms.txt](https://docs.tonic.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tonic.ai/app/setting-up-your-database/google-bigquery/bigquery-workspace-data-connections.md).

# Configuring Google BigQuery workspace data connections

During workspace creation, from the **Connection Type** dropdown list, select **BigQuery**.

## Connecting to the source database <a href="#bigquery-source-connection" id="bigquery-source-connection"></a>

In the **Source Settings** section, you provide the connection information for the source database:

1. In the **Project ID** field, provide the identifier of the project that contains the source database.
2. In the **Dataset Name** field, provide the name of the dataset that contains the source database.
3. For **Service Account File**, select the service account file (JSON file) for the source database.\
   \
   On a self-hosted instance, to instead use Application Default Credentials (ADC), click **Application Default Credentials**.
4. To test the connection to the source database, click **Test Source Connection**.

## Enabling de-identification of Google BigQuery views <a href="#bigquery-workspace-deidentify-views" id="bigquery-workspace-deidentify-views"></a>

By default, Tonic Structural copies views from the source database to the destination database. You do not assign generators to view data.

To enable de-identification of view data, toggle the **De-identify views** option to the on position.

You cannot de-identify views that are written in Google Legacy SQL.

When **De-identify views** is enabled:

* Structural includes views in the lists on **Privacy Hub**, **Database View**, and **Table View**.\
  \
  To identify an item as a view, the name is followed by **(view)**.\
  \
  Structural does not display views that are written in Google Legacy SQL.
* You can assign table modes to the views, and generators to the view columns.

When you run data generation:

1. Structural applies the table modes and generators to the view data.\
   \
   The data generation does not include views that are written in Google Legacy SQL.
2. For each view, Structural writes the de-identified data to a table called `<view name>_tonic_table`.
3. Structural also creates a view that has the same name and metadata as the view in the source data, but is populated from the destination table.

For example, for a source view called `customers`, in the destination database, Structural:

1. Uses the assigned table mode and generators to create a table called `customers_tonic_table`.
2. Creates a `customers` view that uses the schema and metadata from the source `customers` view, but is populated by the data from `customers_tonic_table`.

## Connecting to the destination database <a href="#bigquery-destination-connection" id="bigquery-destination-connection"></a>

Note that destination tables cannot be external tables. They must be native BigQuery tables.

In the **Destination Settings** section, you provide the connection information for the destination database:

1. In the **Project ID** field, provide the identifier of the project that contains the destination database.
2. In the **Dataset Name** field, provide the name of the dataset that contains the destination database.
3. For **Service Account File**, select the service account file (JSON file) for the destination database.\
   \
   On a self-hosted instance, to instead use Application Default Credentials (ADC), click **Application Default Credentials**.
4. To test the connection to the destination database, click **Test Destination Connection**.


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