Databricks Community

Performance optimization in Databricks used to follow a familiar playbook:Partition large Delta tables.Compact small files with OPTIMIZE.apply ZORDER BY on frequently filtered columns.Run VACUUM.Collect statistics.Increase cluster size when queries r...

 AI-assisted coding is changing how data engineers build on Databricks.A developer can now generate Spark SQL, PySpark transformations, Delta table DDL, pipeline logic, data-quality checks, documentation, and test scenarios much faster than before. W...

For years, enterprise data architecture has followed a familiar pattern.An application writes customer orders, account updates, inventory changes, or transactions into an operational database.Then data engineering takes over.We capture changes throug...

IntroductionDifferent organizations use different names for these artifacts: business requirements, mapping specifications, source-to-target mappings, data contracts, transformation rules, or semantic definitions. The name matters less than the goal:...