How can you use GitHub to do team-based database development? This article proposes a process that splits development work into task-based GitHub branches, incorporates daily database builds and integration testing, and uses Redgate tools to automate tasks such as provisioning, database scripting, and testing. Read more
Starting out a new database development with source control is relatively easy. To introduce source control into an existing database application can be more challenging. Phil Factor explains some of the fundamental steps. Read more
How developers who were previously writing and managing database source code in SSMS can make a smooth transition to Azure Data Studio. Read more
Giorgi Abashidze explains how his team use a 2-phase deployment process with SQL Compare Command line, and some SQL Synonyms, to automate custom deployments for each of their customers, while only needing to maintain one branch per release in source control. Read more
A PowerShell automation script to build a SQL Server database from source control, seed it with dummy data, document it, and then deploy copies to any number of test and development servers. Read more
You've found a database that is not in source control. What do you do? Phil Factor shows how to use SQL Compare to generate all the missing object scripts, in Git, and then keep them up-to-date automatically, in response to any further database changes, during development. Read more
During the proof-of-concept phase of development work, SQL Compare Snapshots offer an easy way to work out what broke, if a change causes some tests to fail, as well as a simple ‘roll back’ technique to return quickly to the last working copy. Read more
Tony Davis shows how to get a database, plus any static data, into source control, and then uses the "/include:StaticData" switch in the SQL Compare Pro command line, fromPowerShell, to automate the process of creating a new build script. Read more
How to use SQL Compare Pro command line with PowerShell to automate the processes of getting a new database into source control, updating the source with the latest database changes, creating a new build script for a database version, and creating a deployment script to synchronize an existing database with source. Read more
The final part of Alex Yates's three-part series tackles the complicated issue of automating deployments when the same table might have a different structure, in different production versions of the database. Read more
