Join us for an insightful meetup with fellow data geeks! Swap stories, share cool insights, and explore all the latest buzz in the Apache Iceberg™ world. Whether you're a total newbie or a seasoned Iceberg pro, this meetup is all about connecting, learning, and sparking fresh ideas together.

Agenda

5:00 - 6:00pm: Doors Open & Networking
​​​6:00 - 7:00pm: Welcome Remarks & Presentations
​​​7:00 - 8:00pm: More Networking


Presentations
- Bohan Zhang (SWE at RisingWave Labs) — Real-Time Data Pipeline with RisingWave for a Streaming Lakehouse
- Manish Maheshwari (Director of Product Management at Cloudera) — Apache Iceberg: Upcoming Challenges
- Liang (Ryan) Chen (Data Foundation Partner Solution Architect at AWS) — Iceberg on AWS

​Abstracts
- Real-Time Data Pipeline with RisingWave for a Streaming Lakehouse: Bohan will discuss RisingWave and the Iceberg integration (RisingWave hosted Iceberg,in fact). He will present a demo about real-time analysis workload syncing to Iceberg and running a BI tool for real-time display.

- Apache Iceberg: Upcoming Challenges: Apache Iceberg has become a cornerstone for building scalable and performant data lakes. As adoption grows, new challenges are emerging in its evolution and integration with modern data ecosystems. This session will explore critical areas where the Iceberg community is addressing complexities, including handling relative paths in large-scale deployments, supporting materialized views (MV) for advanced analytics, and strengthening access control to ensure data security. We'll also dive into the integration of lineage and compaction services for operational efficiency, along with navigating the intricacies of AWS S3 tables and cloud-specific challenges. This talk will offer insights into the current roadmap, share lessons learned from real-world implementations, and outline opportunities for collaboration to drive innovation in Apache Iceberg.

- Iceberg on AWS: Liang will introduce several new AWS features that deeply integrate with Apache Iceberg, including SageMaker LakeHouse, which unifies data access through Iceberg-compatible APIs, and S3 Table, which simplifies Iceberg operations.