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

DataKitchen

As a result, a less senior team member was made responsible for modifying a production pipeline. When you architect for flexibility, quality, rapid deployment, and real-time data monitoring (in addition to your customer requirements), you move towards a DataOps-centric data engineering practice. A better ETL tool?