What is DataOps?
Agile practices applied to data management for faster, more reliable data delivery.
DataOps is a methodology that applies agile, DevOps, and lean manufacturing principles to data management. It focuses on improving the speed, quality, and reliability of data delivery through automation, collaboration, monitoring, and continuous improvement. Key practices include automated data testing, data pipeline orchestration, environment management, and version control for data artifacts.
Related terms
Practices combining software development and IT operations for faster, more reliable delivery.
An automated workflow that extracts, transforms, and loads data from sources to destinations.
The degree to which data is accurate, complete, consistent, timely, and fit for its intended use.
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