DataOps (data operations) is an Agile approach to designing, implementing and maintaining a distributed data architecture that will support a wide range of open source tools and frameworks in production. … Such tools include ETL/ELT tools, data curation and cataloging tools, log analyzers and systems monitors.

What is the difference between DevOps and DataOps?

DevOps is the transformation in the delivery capability of development and software teams whereas DataOps focuses much on the transforming intelligence systems and analytic models by data analysts and data engineers.

What is a DataOps platform?

A DataOps platform automates the data delivery process and enables continuous data delivery. API-driven automation integrates data delivery into workflows across hybrid and multi-cloud environments, from structured, unstructured, SQL, NoSQL, and cloud-native data sources.