What is DataOps?
The following Gartner definition provides a comprehensive understanding of what DataOps is:
DataOps is 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. DataOps uses technology to automate the design, deployment, and management of data delivery with appropriate levels of governance, and it uses metadata to improve the usability and value of data in a dynamic environment.
DataOps brings to the world of data all the automation and governance that the DevOps world has enjoyed for the past 20+ years!
The next step in your DataOps journey is to learn more about the background to DataOps.