Continuous Integration (CI)

External Article

Database Continuous Integration

  • Article

Have you ever longed for a way of making the delivery of databases more visible, predictable and measurable? Do you ever wish that they would be of better quality, quicker to change, and cost less? Grant Fritchey explains some of the secrets of doing Continuous Integration for Databases to relieve some of the pain-points of the Database Delivery process.

2016-02-23

4,082 reads

External Article

Implementing Continuous Integration for Databases

  • Article

Continuous integration (CI) is becoming more and more common in application development. It ensures code and related resources are integrated regularly and tested by an automated build system, and highlights problems early in the development process. But what about database development? Can the same advantages of CI be applied to production databases? Where do you start? How do you tackle it? Sjors Takes relates his experience.

2015-11-09

2,651 reads

External Article

Who Broke the Build?

  • Article

Continuous Integration and automatic builds are fantastic tools for software teams, but only if developers take responsibility for their code. Karsten Kempe explains how to use Team Foundation Server to drive better continuous integration, and walks through a simple open-source tool he built to make nightly builds more transparent, and more valuable.

2014-09-15

7,853 reads

Technical Article

Database Continuous Integration 101

  • Article

We talk a lot about continuous integration here on the Atlassian Dev Tools blog, and many readers are bonafide CI gurus. Now that you are integrating your application code, test code, config files and deploy scripts, are you ready to take it to the next level? An increasing number of engineering shops are starting to bring the continuous integration discipline into their database development.

2012-05-29

2,744 reads

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Question of the Day

String Similarity I

On SQL Server 2025, when I run this, what is returned?

SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL')

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