Session
Building a reliable Database Pipeline with Liquibase and SSDT
In this session, we are going to develop from scratch a fully functional approach for managing the development of changes on Azure SQL, keeping the principles of versioning and clean code.
Additionally, I am going to share a Python tool suite developed for helping Data professionals to automate the release of changes and control them through GIT.
Happy Journey = SSDT + Liquibase + GIT + Azure DevOps
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