DataOps: keeping the data flowing with Model-driven Operations
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 troubleshooting them under management pressure when it’s all going wrong is stressful.