Tips for Solving the Test Data Problem for Big Data Solutions


There are various challenges to overcome when you implement a big data solution, but perhaps the biggest problem that’s often overlooked is how to create accurate test data. You’re implementing a new system in order to deal with a massive amount of data, and perhaps your relational database can’t handle the volume, so it’s vitally important to properly test this new system and ensure that it doesn’t fall over as soon as the data floods in.

In order to test thoroughly and identify bottlenecks and problems, you need a large volume of test data that you can use. If you don’t have access to real data, then you’re going to have to create it. But for this test data to do its job, it really has to closely emulate the actual data that the system is going to be processing.

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