Test Data Management

Use Database Continuous Integration to Eliminate the Test Data Wait State

Test data management (TDM) has always been a critical part of the application development and testing life cycle. However, the test process is entirely ineffective if the test team is not working against the right data and the latest version of the database schema. Because development teams conduct more tests more frequently, test data and schema updates need to be delivered to these teams quickly and refreshed often. As companies mature their continuous integration capabilities, they need more automated processes. Test data management solutions are becoming a key step in that maturation. Teams need proper database continuous integration tooling to eliminate the test data management wait state and support development teams within hours, if not minutes.

Align Data to Application and Database Code

It’s important to accurately emulate the workflows and interactions encountered by end users when testing new application features and functions. Often, the state of a database in a production is poorly understood because of the numerous hotfixes, patches, and other ad-hoc changes. Currently, test teams expend a lot of manual effort to ensure test environments accurate reflect what is in production. This manual process impacts test accuracy and creates a wait state that decreases application release velocity. To modernize TDM, it’s imperative that teams use test data management tools to automate the evolution of test environments to accurately represent what is in production.

Test Faster and With Greater Confidence

Datical works with popular test data management software and solutions such as Delphix to deliver database continuous integration and keep both data and database schema changes in-sync across the application release pipeline. These capabilities help application development teams eliminate the TDM wait state created by the typical back-and-forth between Dev, Test and Ops. The result: IT teams can automate database deployments and release applications faster while eliminating database related issues in production.

Read the White PaperRead more about Filling the Data Gap in DevOps.
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