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Database Version Control

By placing under source control everything we need to describe any version of a database, we make it much easier to achieve consistent database builds and releases, to find out who made which changes and why, and to access all database support materials. Matthew Skelton explains how to make sure your version control system fully supports all phases of the database lifecycle, from governance, development, delivery and through to operations.… Read more

Database Lifecycle Management for ETL Systems

Few databases are self-contained. They take data from other sources, and publish them to downstream consumers of data. These ETL processes tend to grow in an unplanned organic way and so tand to cause trouble both in production and in deployment. Database Lifecycle Management systems allow all the teams to come together to ensure that ETL systems meet all requirements.… Read more

Database Migrations: Modifying Existing Databases

It should be simple to upgrade a database to a new version. It certainly can be, but if you need to preserve the existing data and you have made changes to the design to the tables then it can get complicated. If you are deploying changes to a heavily-used OLTP system on which an organization depends, then you need to understand, and be familiar with, the issues that can effect a database migration. Matthew Skelton explains the basic approaches.… Read more

Continuous Delivery for Databases: Microservices, Team Structures, and Conway’s Law

Having described some of the most common database deployability blockers, Matthew Skelton proposes a way to enable database continuous delivery that isn't as outlandish as it first appears. What can Conways Law and Microservices tell us about the future of databases and DBAs? Matthew shows us a glimpse.… Read more

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