DataOps 101 - Why, What, How? 

The State of DataOps presented by Wayne Eckerson, President @ Eckerson Group and Kunal Agarwal, Co-Founder & CEO at Unravel Data a leader in DataOps.
There is a lot of interest in DataOps, but many people are confused. What is DataOps? Is DataOps a methodology for building pipelines? A set of development and execution tools? Or a process for continuous improvement? This session will clear up the confusion and help align our understanding before we dive into details during breakout sessions.
Learn how DataOps improves cycle times, guarantees fewer defects, allows greater code reuse and improves efficiency and agility.
This discussion also includes the 4 dimensions of DataOps; Agile, DevOps, Total Quality Management and Lean.
We'll then go into the DataOps lifecycle and learn more about each of the stages; Plan, Create, Orchestrate, Test & Fix, Continuous Integration, Deploy, Operate, Monitor, Optimize and Feedback. Not to mention the over arching themes of End-to-End Observability and Real-time collaboration.
Lastly, this chat explores practical ways in which you can get started with DataOps today!
These are educate your team, identify bottlenecks, optimize processes, debrief regularly, monitor improvement. Componentize your code, build test for every code block, treat data as code and invest in tools.
DataOps then is a state of mind. It's about continuous improvement.

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