Fundamentals of Test Data Management

Organizations deliver software increasingly fast using DevOps principles and practices. In this new world, testing plays a big role. Without tests, there’s not much value in automating application deployments.

You might have been able to break the silos of development and operations. But if you’re still doing manual testing and requesting help from other teams to gather data for testing, you’re not taking full advantage of delivering continuously.

In this course, we’ll talk about why preparing data for testing is crucial in all organizations and why historically this has been so difficult to do. Test data management solves this problem in different ways by letting you have copies of production data, with the exception that sensitive information like credit card numbers or social security numbers can be masked.

After you’ve been able to stop requesting data from the DBAs, there’s still a problem: you still need them to review and apply schema changes. Usually, that happens just before doing it in production, adding more time to deployments—especially when there are problems with the scripts.

That’s why in, this course, we’ll also talk about schema changes and how can they be injected into your DevOps implementation. We’ll talk about the principles, practices, and tools that will help you achieve it.

Finally, we’ll put that into practice by doing a workshop using a real-world scenario.