This EPAM white paper defines DataOps as a discipline that streamlines data management by combining agile methods, automation, and collaboration to deliver trusted, production-ready data at scale. It addresses challenges such as immature pipelines, data silos, and growing data debt, which result from fragmented ownership and manual processes. Core principles include applying software engineering best practices, treating analytics as code, enabling self-service, and fostering continuous improvement. Benefits span faster time-to-production, higher data quality, better orchestration, and improved cross-team collaboration. Ultimately, DataOps empowers organizations to innovate, reduce risk, and become truly data-driven.

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