The “Right to Repair” Data Architecture with DataOps
When data professionals define data architectures, the focus is usually on production requirements: performance, latency, load, etc. Engineers and data professionals do a great job executing on these requirements. The problem is that the specifications don’t include architecting for rapid change .
They only think about production, not the process to make changes to production. A DataOps Data Architecture makes the steps to change what is in production a “central idea.” Thinking first about changes over time to your code, your servers, your tools, and monitoring for errors are first class citizens in the design.
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