Join us for a deep dive into the convergence of real-time data streaming, data lakehouses, and generative AI. Featuring expert talks from RisingWave, Hivemind Technologies and Lakekeeper, this meetup explores how modern architectures are combining streaming engines with Apache Iceberg to power low-latency analytics and AI-ready data pipelines. Whether you're building the next-gen data platform or curious about the future of data infrastructure, this session will bring cutting-edge insights and real-world use cases.

🎤 Speakers
Yingjun Wu - Founder and CEO at RisingWave Labs
Erik Schmiegelow - Director at Hivemind Technologies
Viktor Kessler - Co-Founder of Vakamo

🌌 Abstracts
Yingjun Wu - DIY Real-Time Lakehouse on Iceberg: What They Don't Tell You
Abstract: Most blog posts make streaming look easy - until you try bolting it onto your batch stack and everything breaks. This talk skips the fluff and dives into what actually matters: how to go from batch to streaming without tearing your system apart. I'll start with the basics, then dig into advanced topics like compaction strategies, exactly-once semantics, and handling primary keys. You'll see how to drop RisingWave into your existing setup, stream data in near real-time, and keep costs under control. No buzzwords - just hard-won lessons, real mistakes, and solutions that work in production.