Demo: Genie Code for Lakeflow Spark Declarative Pipelines

Описание: This product demo shows how Genie Code acts as an autonomous AI agent to help teams design, build, and manage Lakeflow Spark Declarative Pipelines directly inside the Databricks workspace.

Starting with a simple request, Genie Code analyzes your data, generates pipeline logic, and creates a production-ready Spark Declarative Pipeline. The entire workflow happens from a single UI panel, with the agent maintaining context across datasets, transformations, and pipeline components.

This walkthrough highlights how Genie Code helps data teams move from raw data to reliable data pipelines faster by planning and executing engineering workflows across the Databricks Data Intelligence Platform.

What you’ll see in this demo
Discover and analyze datasets for pipeline development
Generate Spark Declarative Pipeline logic automatically
Build data transformations using natural language
Configure pipeline structure and dependencies
Create production-ready pipelines from a single AI agent interface

Watch how Genie Code helps teams build and maintain modern data pipelines faster with agentic AI designed for real data engineering work.

To learn more about Genie Code:
Visit the web page: https://www.databricks.com/product/ge...
Read the blog: https://www.databricks.com/blog/intro...
Try Genie Code: https://www.databricks.com/try

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