DataOps Strategy for Modern Data Engineering

DataOps is a set of practices and tools that apply DevOps principles to data engineering, focusing on automating data pipelines, improving data quality, and enabling faster iteration cycles. The strategy emphasizes collaboration between data engineers, analysts, and other stakeholders while implementing continuous integration, testing, and deployment for data workflows. Modern DataOps leverages technologies like Apache Spark and cloud platforms to streamline data management and reduce time-to-insight.

Source: Databricks | 2026-06-22