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Databricks Blog25. August 2026

Modernizing SQL ETL in Lakehouse with Declarative Patterns

Zusammenfassung

Declarative ETL is now built directly into Lakehouse, letting SQL analysts and analytics engineers use declarative flows for APPEND, AUTO CDC, and REPLACE WHERE batch updates instead of writing procedural code. Practitioners can run these query-level ETL tasks right in their existing SQL workflows or move into the Lakeflow Pipelines Editor for multi-step, project-oriented development.

* Declarative ETL is coming directly into Lakehouse as part of a broader Declarative Everywhere strategy. * SQL analysts and analytics engineers can now leverage declarative flows for APPEND, AUTO CDC, and REPLACE WHERE batch updates without writing complex procedural code. * Practitioners can easily execute query-level ETL tasks inside their standard SQL workflows, or transition to the Lakeflow Pipelines Editor for multi-step, project-oriented development.

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