DataOps Strategy for Modern Data Engineering
Summary
Databricks practitioners can reduce data downtime by up to 99% and accelerate time-to-insight by embedding automated testing, CI, and monitoring into data pipelines. Effective DataOps requires clearly defined roles, unified governance, version control, and observability across the full data lifecycle.
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