Liquibase + Databricks Cheat Sheet

Quick-start guide to governing Databricks changes without slowing delivery

Still managing Databricks schema changes with ad hoc notebook scripts and manual approvals? That's how broken pipelines, failed jobs, and data quality issues start.

This cheat sheet covers:

• How to version, validate, and deploy Unity Catalog schema changes automatically
• Policy checks that block risky patterns before they break downstream dependencies
• Authentication, authorization, and CI/CD implementation patterns that pass security reviews
• Databricks DDL gotchas you will actually hit and how to avoid them
• Real workflow examples for governed deployments across dev, staging, and prod catalogs

Built for data engineers running Unity Catalog, Delta tables, and automated releases.