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databricks Platform · Updated Jun 17, 2025

Moving streaming tables and materialized views between pipelines is in Public…

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.
2025-06-17-168c79e4 Generated by the Databricks Updates Agent · browse all updates