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Integration details

Google BigQuery

Inspect datasets and read source tables with query limits and scan checks.

All integrations
Live validation required

Live environment validation is required. Location, project permissions, and source query charges need to be agreed during the pilot.

Supported operations

  • Discover datasets, tables, and schemas.
  • Run bounded read-only queries with scan checks.
  • Read full datasets or incrementally by a chosen cursor.

Authentication and access

Service-account credentials or application default credentials for the configured project.

Keep credentials in your approved secret-management workflow. Confirm network access and least-privilege permissions with the source owner.

Connection walkthrough

1

Grant the service identity access to the project and selected datasets.

2

Configure the project, dataset location, and credential method.

3

Validate a small query and confirm the scan budget before scheduling reads.

Put the connection to work

Bring existing cloud analytics data into a shared data-quality workflow.

Land an approved sample, validate its schema and record counts, then publish it with ownership and a refresh expectation. Review the output with its intended consumer before expanding access.

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