BigQuery
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Connect to to analyze and visualize your cloud warehouse data directly in Felt.
This feature is only available to customers on the . To upgrade, .
Create a new, read-only user on your database for Felt access
Click on the Library () in the toolbar
Click + New Source
Select BigQuery
Enter Connection Details
Source Name
: name of the source in Felt
Project ID
: the unique identifier for a Google Cloud Platform project
Dataset
: (optional) name of the BigQuery dataset. Datasets are “top-level containers used to organize and control access to your tables”. .
Service account JSON
: Upload a service account JSON with permissions to access your BigQuery tables. To create a new service account, navigate to the page of the Google Cloud Console and generate a JSON file for it in the Keys tab. When creating the account, make sure to grant it access to your project for the BigQuery Data Viewer, BigQuery Metadata Viewer and BigQuery Job User roles.
Who can see this source?
: control access to this source within Felt
Click Connect
Once connected you will see a catalog of your data with previews for your new source
From here you can add any of these layers to your spatial dashboards!
storage.objects.get
storage.objects.list
If your BigQuery contains (such as Google Sheets or objects in Cloud Storage), you must also make sure the service account has the following :