To automate BigQuery CI through Git and Jenkins with a rollback strategy, you can follow a streamlined process. First, store all your BigQuery SQL scripts and configurations in a Git repository to manage version control. Set up a Jenkins pipeline that triggers on changes to the Git repository. This pipeline should include stages such as Checkout, which pulls the latest changes, Test, where you validate the SQL scripts by running dry-run queries or unit tests, and Deploy, which deploys the changes to BigQuery (updating tables, schemas, or views). For the rollback strategy, version your scripts and keep backups of critical BigQuery resources like tables or schemas. In case of failure, set up a Rollback Job in Jenkins that can revert to the last stable version, either by restoring from backups or re-deploying a previous version of your SQL scripts. To keep track of any issues, configure Jenkins to notify your team of success or failure via email or Slack. By automating the deployment and rollback process in Jenkins, you ensure that changes to BigQuery are both efficient and safe, with the ability to revert to a previous state when necessary. check out for real time solution https://cloudastra.co/.