> For the complete documentation index, see [llms.txt](https://docs.hockeystack.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.hockeystack.com/integrations/datasyncs/connecting-your-warehouse/authenticate-bigquery.md).

# Authenticate BigQuery

### Ensure that DataSyncs has correct permissions to access your BigQuery instance

1. Go to **Google Cloud Console → IAM & Admin → Service Accounts**.
2. Click **Create Service Account**, name it, and click **Create**.
3. **Assign Permissions**
   * Grant **BigQuery Data Viewer** (`roles/bigquery.dataViewer`) for ***read*** access or **Big Query Data Editor** (`roles/bigquery.dataEditor`) for ***write*** access.
   * Grant **BigQuery Job User** (`roles/bigquery.jobUser`) to allow query execution.
     * This permission is necessary to ensure that we can actually pull information
4. After service account user creation, create a new JSON key and download it securely. This key will be used as part of the authentication for BigQuery

### **Gather Connection Information for DataSyncs**

* The JSON key you downloaded will have connection information that you can directly upload when configuring a sync
* **Dataset ID:** the specific dataset that contains the table you are importing 
* **Table Name:** the specific table that you are importing

### Setting a limit on service account user (optional)

Larger imports (>100k rows) can increase compute costs. Setting a quota ensure no unexpected compute costs: 

* Refer to BigQuery's[ Quota and Limits documentation](https://cloud.google.com/bigquery/quotas) to see which options are available to as limits you can set on the service account you are providing to DataSyncs


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