The unprecedented growth and sprawl of data results in a complex and varied ecosystem of management. The location of the data compounds the challenge of managing it. DataOps, or Data Operations, is a term probably first used by Lenny Liebmann, Contributing Editor of InformationWeek in a blog post in 2014. Gartner placed DataOps ln its well-known Hype Cycle for Data Management, in 2018. Gartner defines DataOps as “a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and data consumers across an organization. The goal of DataOps is to deliver value faster by creating predictable delivery and change management of data, data models and related artifacts.”