Apache Iceberg Meetup: New Trends in Streaming and Data Analytics 2025
Join us for insights from AutoMQ and Decodable at the forefront of Apache Iceberg innovation! In the fast-evolving landscape of streaming and analytics, Iceberg has become a cornerstone for robust data lakehouses—and this meetup dives into cutting-edge practices at its intersection with streaming systems and cloud storage.
Whether you’re a data engineer, analytics enthusiast, or exploring open table formats, hear from AutoMQ’s CTO and Decodable’s product lead on solving real-world challenges: from S3-Kafka integration hurdles to CDC workarounds in Iceberg V2. Walk away with actionable strategies to build scalable, reliable data platforms.
📅 Event Details
Date & Time: July 24th, 2025 | 9:00 – 10:00 AM Seattle time (PT)
Format: live (Youtube)
Language: English
🗓️ Agenda Highlights
➡️ 9:00 – 9:30 AM
Building Kafka on S3: Challenges and Solutions for Seamless Iceberg Integration
By Xinyu Zhou, Co-Founder & CTO at AutoMQ
In this part, we will explore the challenges of building a stream storage system like Kafka on top of S3 and how AutoMQ addresses these challenges while providing seamless integration with Iceberg. We will cover key aspects such as latency, IOPS, data fetch efficiency, metadata management, and throughput restrictions. Additionally, we will discuss how AutoMQ leverages Iceberg for schema management and efficient data organization, ensuring a cost-effective and scalable solution for managing data in the cloud.
➡️ 9:30 – 10:00 AM
Incremental Change Processing with Apache Flink and Iceberg
By Sharon Xie, Head of Product at Decodable
Apache Iceberg powers large-scale data lakehouses, but its limited CDC (Change Data Capture) support in V2 complicates incremental updates and deletes. This session breaks down pragmatic workarounds using Apache Flink: writing change streams as append tables, navigating trade-offs between append and upsert modes, and choosing the right strategy for your workload. Plus, get an exclusive preview of Iceberg V3’s native CDC support and how it will redefine real-time pipeline design.
✨ Why Attend?
Actionable insights from Iceberg, Kafka, and Flink experts
Peer networking to swap pipeline strategies
Live Q&A to solve your specific challenges
Early access to Iceberg V3’s game-changing features
📍 How to Join
Free to attend, but Luma registration is mandatory - this is your only way to receive the YouTube live stream link (sent to your email pre-event) and updates.
Don’t miss this chance to level up your data systems expertise with the Apache Iceberg community!