Unlocking Real-Time Insights: Building Your Streaming Lakehouse with Kafka & Iceberg
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 on-demand workshop, you’ll see 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 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
Watch this hands-on session, including a mini demo and reference application, and walk away with the practical knowledge to start building your own streaming lakehouse.
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
I am a solutions architect at Aiven and have been developing software for 5 years with a focus on event streaming architecture. I am particularly interested in demystifying complex data infrastructure for the small to medium sized businesses.
Maja Schermuly
Associate Solution Architect
I'm a Solution Architect at Aiven, specializing in designing and implementing robust data architectures. My hands-on experience allows me to build scalable solutions that are both practical and effective.
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