Session
Hands-on Workshop: AI-Powered Data Engineering with Lakeflow
Overview
| Experience | In Person |
|---|---|
| Track | Data Engineering & Streaming |
| Industry | Consulting & Services |
| Technologies | Lakeflow, Unity Catalog |
| Skill Level | Beginner |
This introductory workshop caters to data engineers seeking hands-on experience and data architects looking to deepen their knowledge. The workshop provides a solid understanding of the following fundamental data engineering concepts:
- Introduction to Lakeflow and the Data Intelligence Platform
- Getting started with Spark Declarative Pipelines, Streaming Tables, and Materialized Views
- Working with a realistic data streaming use case
- Mastering Lakeflow Jobs with advanced control flow and triggers
- Creating pipelines with Genie Code and Claude Code
- Real-time Mode (RTM)
- Understanding data governance and lineage with Unity Catalog
- Benefits of Serverless Compute.
We'll equip you with your own lab environment in this workshop.
Session Speakers
Frank Munz
/Principal TM Engineer
Databricks
Paulo Gutierrez
/Lead Product Specialist
Databricks