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databricks Platform · Updated Jul 24, 2025

Moving tables between Lakeflow Spark Declarative Pipelines pipelines is now GA

Tables created by Lakeflow Spark Declarative Pipelines in Unity Catalog ETL pipelines can be moved from one pipeline to another.

What it does

Tables created by Lakeflow Spark Declarative Pipelines in Unity Catalog ETL pipelines can be moved from one pipeline to another. Move streaming tables and materialized views between pipelines so the destination pipeline updates the table instead of the original. This is useful in many scenarios, including: Split a large pipeline into smaller ones.

Why it matters

Reduces operational overhead and unlocks new capabilities for data teams on Databricks.

Architecture
Databricks Platform → Platform
In short

Tables created by Lakeflow Spark Declarative Pipelines in Unity Catalog ETL pipelines can be moved from one pipeline to another. Move streaming tables and materialized views between pipelines so the destination pipeline updates the table instead of the…

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Key takeaway
Tables created by Lakeflow Spark Declarative Pipelines in Unity Catalog ETL pipelines can be moved from one pipeline to another.
2025-07-24-moving-tables-between-lakeflow-spark-declarative-pipelines-pipelines-is-now-ga Generated by the Databricks Updates Agent · browse all updates