Unlocking Real-Time Insights: Building Your Streaming Lakehouse with Kafka & Iceberg

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:

  • Build real-time pipelines by combining Apache Kafka for event streaming and Iceberg for high-performance storage on AWS S3.
  • Simplify operations using Aiven for Apache Kafka and Kafka Connect to cut deployment and management overhead.
  • Apply the architecture to real-world use cases—from real-time reporting to feeding ML and AI models.

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.

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Who will benefit most from this session?

This session is ideal for data engineers, platform architects, and developers looking to cut latency, simplify pipelines, and deliver real-time, ML-ready data.

Workshop hosts

Douglas Young

Associate Solution Architect

Maja Schermuly

Associate Solution Architect

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