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.
The DataKitchen DataOps Platform automates and coordinates all the people, tools, and environments in your entire data analytics organization – everything from orchestration, testing, and monitoring to development and deployment. It's DataOps Delivered.