Over time, database changes become easier, and the database build and deployment processes get more predictable, and far less likely to introduce problems into the production systems. Bugs, introduced by coding errors or by new versions of third-party components, become much easier to find and remove because we know that the problem was caused by a change made since the last successful integration.

In a Database Continuous Integration (CI) process, we establish a working version of the database quickly, integrate subsequent changes as frequently as possible, and run tests each time to prove that the database still works.

Step 3: Automating your build using Azure DevOps.

Step 2.1 (optional): Writing a build script using SCA and PowerShell.

Step 2: Linking a database to source control.

Step 1: Create a new Azure DevOps project and clone the repository.This article explains how to set up a SQL Server source control and database continuous integration (CI) process from scratch - using Azure DevOps, Git, PowerShell, and Redgate tools - in three steps:

Sql toolbelt redgate