In the first part of the story shared with the community on QA Data Monsters Meetup (#DQM) we discussed how to check data pipeline work when data storage requirements remain the same, while technologies standing behind it evolve. We covered ways to ensure the new Pipeline version produces the right data, works fast, is reliable, and easy to use. — It’s rare luck when you are given a chance to concentrate fully and solely on improvements. As you may know, often when you change the technological stack, some new functionality is always needed as well.

You asked for it. We delivered! Here’s the testing story shared with the community on QA Data Monsters Meetup (#DQM) of how we verified a new version of Data Import upgraded in the Amazon cloud using its services. — The testing approaches and types discussed are universal and can be applied to any project to safeguard data update quality. Grab your favorite beverage. Kick back. Enjoy. Write to us, should you have any comments and questions. We’ll be super glad to be of service!