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DataOps: keeping the data flowing with Model-driven Operations
Prologue: why is DataOps so hard? If you’ve ever lived DataOps, you’ll know that it’s a challenge at the best of times. A day in the life of a typical data engineering team involves securing, releasing, debugging and stabilising complex and oftentimes fragile data pipelines. These pipelines can involve many source applications and intermediaries, and […]...