Lakeflow Designer

Lakeflow Designer is a visual, no-code, AI-native experience for data preparation and analytics. Built directly in Azure Databricks, it lets users prepare and explore data through a drag-and-drop canvas and natural language. The workflows you build, called visual data preps, are backed by production-ready code and fully governed by Unity Catalog, so your work moves smoothly from prototype to production, with no need to reverse-engineer or rebuild.

Task	Description
What is Lakeflow Designer?	Understand the interface and concepts of Lakeflow Designer.
Tutorial: Build a visual data prep	Build your first visual data prep, from source to output, with sample data.
The Lakeflow Designer interface	Tour the header, left pane, canvas, configuration pane, and output pane, and add and connect operators.
Use Genie Code in Lakeflow Designer	Build and edit visual data preps in natural language with Genie Code.
Preview and refine results in Lakeflow Designer	Preview results, run the full visual data prep, and edit data in the results table.
Use the table of contents in Lakeflow Designer	Find, filter, and sort operators, and view generated code.
Ingest data into Lakeflow Designer	Ingest data into a visual data prep.
Use parameters in Lakeflow Designer	Use parameters to make a visual data prep reusable across environments.
Built-in operators in Lakeflow Designer	Explore the built-in operators available in a visual data prep.
Manage visual data prep files in Lakeflow Designer	Create, export, import, rename, delete, and review the history of visual data prep files.
Move a visual data prep file to production	Bring a visual data prep to production with Git, jobs, and Declarative Automation Bundles.

Custom operators

You can create your own custom operators for use in Lakeflow Designer.

Task	Description
Custom operators in Lakeflow Designer	Learn how custom operators work, and register, update, and troubleshoot them.
Write logic for Lakeflow Designer custom operators	Write the Python or Unity Catalog function logic that a custom operator runs.
Custom operator YAML reference	A complete reference to the YAML schema for custom operators.
Tutorial: Compound interest calculator operator	Build a custom operator that calculates compound interest, using Python in a Unity Catalog user-defined function (UDF).
Tutorial: K-means clustering	Build a custom operator that uses K-means clustering, using Python in a Unity Catalog user-defined table function (UDTF).
Tutorial: Send Slack message	Build a custom operator that sends a Slack message, using SQL in a Unity Catalog user-defined function (UDF).
Tutorial: All UI widgets demo	Build a custom operator that uses all available UI widgets, using Python in a Unity Catalog user-defined function (UDF).
Tutorial: Gmail email sender operator	Build a custom operator that sends Gmail, using Python in a standalone python-run-function.