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Why Your Data Pipelines Need Closed-Loop Feedback Control
Towards Data Science - Medium towardsdatascience.com
Realities of company and cloud complexities require new levels of control and autonomy to meet business goals at scale
As data teams scale up on the cloud, data platform teams need to ensure the workloads they are responsible for are meeting business objectives. At scale with dozens of data engineers building hundreds of production jobs, controlling their performance at scale is untenable for a myriad of reasons from technical to human.
The missing link today is …
autonomy business cloud complexities control data databricks data engineering data engineers data pipelines data platform data science data teams engineers feedback loop machine learning pipelines platform scale snowflake workloads