Friday, March 13, 2026 | 9:00 AM-10:35 AM PT

Note: Marking RSVP on this Community event does not register you for the workshop. Please use the Register button above to complete your registration on the official event page.

This introductory workshop caters to data engineers seeking hands-on experience and data architects looking to deepen their knowledge.

The session is designed to provide a solid understanding of core data engineering and streaming concepts within the Databricks Data Intelligence Platform while giving participants practical experience with real-world scenarios.

During the workshop, you will work with a realistic streaming data use case and explore how modern data pipelines can support real-time decision making.

In this workshop, you’ll learn:

• Introduction to Lakeflow and the Databricks Data Intelligence Platform
• Getting started with Declarative Pipelines, Streaming Tables, and Materialized Views
• Working with a realistic data streaming use case
• Mastering Lakeflow Jobs with advanced control flow and triggers
• Using Generative AI tools for data engineers including Genie and Databricks Assistant
• Understanding data governance and lineage with Unity Catalog
• Benefits of Serverless Compute

We believe you become an expert by solving real problems and gaining hands-on experience. In this workshop, you will receive your own lab environment and be guided through practical exercises such as using GitHub, ingesting data from multiple sources, and building both batch and streaming pipelines.

The session will conclude with a live Q&A where you can ask questions and interact with Databricks experts.

Agenda