Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
One option is using Github for version control. You can link a notebook and Databricks syncs your history with Git- which gives you the option to restore an older version if needed. Here are the docs for more details: https://docs.databricks.com/notebooks/github-version-control.html#github-enterpriseebooks/github-version-control.html#github-enterprise
You can use version controlled source code for you databricks job and each time you need to rollback to older version of your job you need just to move to older version code. For version controlled source code you have multiple choises: - Use a notebook from a remote Git repository - Use Python code from a remote Git repository - Use SQL queries from a remote Git repository https://docs.databricks.com/en/workflows/jobs/how-to/use-repos.html
Connect with Databricks Users in Your Area
Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you won’t want to miss the chance to attend and share knowledge.
If there isn’t a group near you, start one and help create a community that brings people together.