Building A Data Development Environment with lakeFS
Overview As part of our routine work with data we develop code, choose and upgrade compute infrastructure, and test new data. Usually, this requires running parts of our production pipelines in parallel to production, testing the changes we wish to apply. Every data engineer knows that this convoluted process requires copying data, manually updating configuration, …
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