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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

This is the equivalent advice for data teams provided to software teams in the classic “Mythical Man Month.” Brooks law (for data): “ Adding data engineer personpower to a late data project makes it later.” Shouldn’t Marcus consider upgrading his technology? A better ETL tool? Pick some other hot tool?