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databricks Platform · Updated Aug 14, 2025

Lakeflow Spark Declarative Pipelines template in bundles in the workspace…

You can now easily create an ETL pipeline in a bundle in the workspace using the new Lakeflow Spark Declarative Pipelines template project.

Public Preview Open docs ↗release note ↗
What it does

You can now easily create an ETL pipeline in a bundle in the workspace using the new Lakeflow Spark Declarative Pipelines template project. Declarative Automation Bundles can be created and modified directly in the workspace. For requirements for using bundles in the workspace, see Declarative Automation Bundles in the workspace requirements.

Why it matters

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

Key capabilities
taskkey: my-notebook-task
taskkey: my-notebook-task
notebook: path: ../testpipeline.ipynb serverless: true
notebook: path: ../testpipeline.ipynb serverless: true catalog: main target: testpipeline${bundle.environment}
glob: include: transformations/ serverless: true
glob: include: transformations/ serverless: true catalog: main schema: ${workspace.currentuser.shortname} rootpath: .
notebook: path: /Workspace/Shared/taxifilter.ipynb target: taxifilter${bundle.environment}
notebook: path: /Workspace/Shared/taxifilter.ipynb target: taxifilter${bundle.environment}
Architecture
Databricks Platform → Platform
In short

You can now easily create an ETL pipeline in a bundle in the workspace using the new Lakeflow Spark Declarative Pipelines template project. Declarative Automation Bundles can be created and modified directly in the workspace.

Read the full documentation ↗
Key takeaway
You can now easily create an ETL pipeline in a bundle in the workspace using the new Lakeflow Spark Declarative Pipelines template project.
2025-08-14-4fc5d9bf Generated by the Databricks Updates Agent · browse all updates