The following is required before connecting to Google BigQuery in DataRobot:
- A Google account authenticated with OAuth
- A Google BigQuery project
Set up a connection in DataRobot¶
When connecting with OAuth parameters, you must create a new data connection.
To set up a data connection using OAuth:
Follow the instructions for creating a data connection—making sure the minimum required parameters are filled in—and testing the connection.
After clicking Test Connection, a window appears. Click Sign in using Google.
Select the account you want to use.
To provide consent to the database client, click Allow.
If the connection is successful, the following message appears in DataRobot:
The table below lists the minimum required fields to establish a connection with Google BigQuery:
||A globally unique identifier for your project.||Google Cloud documentation|
Learn about additional configuration options for Google BigQuery in the installation guide under "Connector Configuration Options".
- You cannot use multiple Google accounts to authenticate Google BigQuery in DataRobot. Once a Google user is authenticated via OAuth, that Google account is used for all the BigQuery data connections for that DataRobot user.
- DataRobot does not support
Service Accountas the authentication method (except for batch predictions). For more information, contact your DataRobot representative.
- If your Google account has a large number of projects, it may take a long time to list schemas, even if the project is filtered with the
|When attempting to execute an operation in DataRobot, the firewall requests that you clear the IP address each time.||Add all whitelisted IPs for DataRobot.||See Source IP addresses for whitelisting. If you've already added the whitelisted IPs, check the existing IPs for completeness.|
|Issue authenticating Google BigQuery
Need to reset the Google user assigned to authentication
|Locate and remove the
|Issue authenticating Google BigQuery||Remove authentication consent in Google Cloud console.||