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DataOps (Data Operations)

All Glossary Terms

DataOps refers to the data management practices that help an organization deliver high quality data pipelines with speed and precision. It involves working with people, technology, and processes to remove obstacles and unnecessary complexity at every stage of the data lifecycle and allow data teams to achieve business goals more efficiently. A large priority for DataOps is to develop repeatable processes that produce predictable results, viewing data pipelines as manufacturing processes to be optimized. Well-orchestrated DataOps can significantly improve the quality and speed of an organization’s data pipelines.

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