Date: September 17, 2025, 8 AM PT | 11 AM ET | 4 PM BST | 5 PM CEST
Traditional data platforms often create silos, suffer from high latency, and struggle to scale—making it difficult to deliver the real-time data pipelines modern applications and ML models demand. In this workshop, we’ll show you how a streaming lakehouse architecture—powered by Apache Kafka and Apache Iceberg—solves these challenges with a unified, scalable approach.
You’ll learn how to:
Every attendee will gain real-world insights—and also receive a gift card voucher as a small thank-you for participating.
Join us for a hands-on session, including a mini demo and reference application, and walk away with the practical knowledge to start building your own streaming lakehouse.
This session is ideal for data engineers, platform architects, and developers looking to cut latency, simplify pipelines, and deliver real-time, ML-ready data.
Live and interactive sessions to upgrade your skills with expert guidance covering a range of open source technologies.
Explore all workshops