Database Change Management on Lakehouse with Databricks SQL and Liquibase
<p>Change is hard. Change in software is even harder, so with any software project, engineers set up a process for change management using a series of tools such as Git, GitActions, AzureDevOps, Jenkins, CircleCI, Terraform, and many many more. However, missing from these toolsets is the core concept of managing database-level changes over time. This becomes a different animal because while most software code is stateless, databases contain large amounts of state that is crucial to keep intact as database functionality changes and grows with a business. In the Microsoft world, Visual Studio and SQL Server Data Tools were pretty good at having an end-to-end database management and deployment framework to ensure your database could deploy changes from multiple teams without breaking in production. But what about the rest of the world? <strong>This is where </strong><a href="https://www.liquibase.org/get-started" rel="noopener ugc nofollow" target="_blank"><strong>Liquibase</strong></a><strong> comes in.</strong></p>
<p><a href="https://medium.com/dbsql-sme-engineering/database-change-management-on-lakehouse-with-databricks-sql-and-liquibase-c3c238781616"><strong>Learn More</strong></a></p>