Databricks(@databricks):Modernizing recurring SQL ETL doesn’t require rewriting the workflows you already rely on. Declarative ETL is coming directly into Lakehouse, so SQL practitioners can keep working in familiar SQL workflows while using declarative patterns for common recurring tasks: ↳ APPEND for incremental ingestion ↳ AUTO CDC for change data capture ↳ REPLACE WHERE for targeted batch refreshes Databricks handles the incremental processing, update logic, scheduling, and orchestration needed to run them reliably.

2026.09.17 16:57

Modernizing recurring SQL ETL doesn’t require rewriting the workflows you already rely on. Declarative ETL is coming directly into Lakehouse, so SQL practitioners can keep working in familiar SQL workflows while using declarative patterns for common recurring tasks: ↳ APPEND for incremental ingestion ↳ AUTO CDC for change data capture ↳ REPLACE WHERE for targeted batch refreshes Databricks handles the incremental processing, update logic, scheduling, and orchestration needed to run them reliably.