The Right to Repair Data Architecture with DataOps

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Architect for Rapid Change

When data professionals define data architectures, the focus is usually on production requirements: performance, latency, load, etc. The problem is that the specifications don’t include architecting for rapid change. A DataOps data architecture makes the steps to change what is in production a 'central idea,' so that changes over time to your code, your servers, your tools, and monitoring for errors, are simple and seamless.