Connecting to Google BigQuery

Establishing a Connection shows how to authenticate to Google BigQuery and configure any necessary connection properties from the Connection Manager window.

You can also configure component capabilities through the available Connection properties, from data modeling to firewall traversal. The Advanced Settings section shows how to set up more advanced configurations and troubleshoot connection errors.

Visual Studio Version Support

The CData SSIS Components for Google BigQuery supports Visual Studio versions 2015 and above.

SSIS Version Support

The CData SSIS Components for Google BigQuery provide data flow components that allow for straightforward integration with Google BigQuery data from SSIS data flow tasks. SQL Server 2014, 2016, 2017, 2019, and 2022 are supported including their corresponding version of SQL Server Data Tools.

Google BigQuery Version Support

The component enables read/write SQL-92 access to the BigQuery tables in your Google account or Google Apps domain. The complete aggregate and join syntax in BigQuery is supported. Additionally, statements in the BigQuery syntax can be passed through. The component uses version 2.0 of the BigQuery Web services API: You must enable this API by creating a project in the Google Developers Console. See Connecting to Google for a guide to creating a project and authenticating to this API.

See Also

• Using the Source Component: Pull Google BigQuery data into your data flow task.
• Using the Destination Component: Push data to Google BigQuery.
• Deploying to Azure: Deploy the CData components to Azure from Visual Studio.
• Troubleshooting: The component installation automatically adds the components to the toolbox; if you do not see the components, you can find the procedure to add them here.