The post discusses the challenges and solutions for testing in data engineering. It highlights several key obstacles, such as data variability, complex transformations, and lack of tooling. Tinybird aims to address these issues with tools like 'tb mock' for generating realistic test data, and 'tb test' for validating data transformations. The use of LLMs to handle mundane aspects of test generation is emphasized, making testing less tedious and more efficient.
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The testing gap in data engineeringGenerating realistic test data with tb mockTesting SQL logic with tb testDid we solve the testing problem?Get started with tb test3 Comments
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