Google launched Git Support for BigQuery

Using Repositories and Workspaces in BigQuery to perform Version Control

Photo by Evelyn Verdín on Unsplash

Google just announced can now use repositories and workspaces in BigQuery to perform version control[1].

When writing SQL Queries or Python in UDFs you might want to use Git with BigQuery. Here you can implement version control, collaboration, and automated deployment of SQL code, datasets, or infrastructure. It’s especially helpful for teams managing views, UDFs, procedures, or using tools like dbt or Terraform.

Git enables better tracking of changes, code reviews, and rollback capabilities. It also supports CI/CD workflows for deploying changes across dev, test, and prod environments. For solo users doing ad-hoc analysis, Git might be overkill. But for structured projects, it’s a powerful way to manage your BigQuery workflows efficiently.

Google launched Column Granularity for BigQuery

Now Google announced that with repositories integrated into BigQuery you can perform version control on files by using Git to record changes and manage file versions more easily…