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How to Save Time and Money by Testing Spark Locally

Xebia

There was no need for generating your own data; just take a percentage of production data. On top of those market-related reasons, most of the companies admit to wasting resources on unnecessary processes or suboptimal processing. Shouldering blame: if something goes wrong, blame your Data Engineer! Thus, preventing the burnout.

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