Lakeflow Designer
This feature is in Public Preview.
Lakeflow Designer is a visual, no-code, AI-native experience for data preparation and analytics. Built directly in Databricks, it lets users prepare and explore data through a drag-and-drop canvas and natural language. Designer workflows are backed by production-ready code and fully governed by Unity Catalog. This enables workflows to move smoothly from prototype to production, with no need to reverse-engineer or rebuild.
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- What is Lakeflow Designer?
- Learn the concepts of Lakeflow Designer.
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- How to create a visual data prep in Lakeflow Designer
- Learn how to create a Visual data prep in Lakeflow Designer.
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- Ingest data into Lakeflow Designer
- Learn how to ingest data into a Visual data prep.
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- Built-in operators in Lakeflow Designer
- Learn about the built-in operators available in a Visual data prep.
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- User-defined operators in Lakeflow Designer
- Learn how to create your own user-defined operators for use in Lakeflow Designer.
User-defined operators
You can create your own user-defined operators for use in Lakeflow Designer.
Task | Description |
|---|---|
Overview of creating user-defined operators. | |
A complete reference to the YAML schema for user-defined operators. | |
Build a user-defined operator that calculates compound interest, using Python in a Unity Catalog user-defined function (UDF). | |
Build a user-defined operator that uses K-means clustering, using Python in a Unity Catalog user-defined table function (UDTF). | |
Build a user-defined operator that sends a Slack message, using SQL in a Unity Catalog (UDF). | |
Build a user-defined operator that uses all available UI widgets, using Python in a Unity Catalog (UDF). | |
Build a user-defined operator that sends Gmail, using Python in a standalone |