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.

Databricks

@databricks

Databricks is the Data and AI company, helping organizations build and scale data and AI apps, analytics and agents.

加入 July 2013

1.1K 正在關注 97.8K 粉絲

Databricks@databricks

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.