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The rise of Big Data testing

How to add some custom logic to the built-in functions already available in the framework in a transparent way, while working with Flink.

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What is big data testing?

Big data testing is the process of testing data for data and processing integrity; and to validate the quality of big data and ensure data is flawless to help business derive the right insights, according to Hitesh Khodani, Test Transformation Manager.

Marco Scalzo, Big Data Engineer at Agile Lab, adds that when we talk about big data, we refer to a large collection of data, which is potentially unbounded if we are in a real-time streaming model, on which we execute a pipeline of operations in order to process data and store them in an external sink such as a database.

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