​Apache Iceberg™ Europe Meetup - live in Göteborg!

​​Join us for the very first Apache Iceberg™ Europe Meetup in Göteborg! Our event is hosted in Göteborg co-hosted by Softwarebyquokka , Aiven and Vakamo.

​CFP is open until Nov 16th https://forms.gle/TBqqfiXfs9CJ41EN7

​
Also make sure to join Apache Iceberg Slack Channel to stay up-to-date with future meetups in Europe!

​Agenda

​5:00 pm – Registration & Networking
6:00 pm – 1st set of short talks

​​​🎙️ Viktor Kessler - Apache Iceberg REST Catalog: What’s New and What’s Next

​​​🎙️ Guilherme Caminha Kafka, Iceberg and Diskless: A Unified Architecture for Streaming and Analytics

​​​🎙️ Cesar Vinicius Züge - Iceberg v3: Solving Delete Performance, Schema Evolution, and Semi-Structured Data Challenges

​🎙️ Hassan Bhatti - Data engineering for AI/ML with Apache Iceberg on AWS

​8:15 pm – More Networking
9:00 pm – Event close

​Presentations & Speakers

​​🌟 Apache Iceberg REST Catalog: What’s New and What’s Next

​​The Iceberg REST Catalog is quickly becoming the go-to way of connecting different engines and platforms to Apache Iceberg tables. But what does it actually solve, and where is the community taking it next? In this session, we’ll start with a quick intro to the REST Catalog and why it’s needed, before diving into hot topics like security, authentication, and fine-grained access control. We’ll also explore the latest developments in the community — including the new Events Endpoint — and talk about what’s coming down the road. If you’re curious about how Iceberg REST is shaping the future of open lakehouses, this is your chance to get up to speed and join the discussion.

​Viktor Kessler, is Co-Founder of Vakamo and the creator of Lakekeeper, an Apache Licensed Iceberg REST Catalog. He’s a big believer in open standards like Apache Iceberg, which he sees as the backbone of today’s modern, composable Data & Analytics systems.

​​🌟 Iceberg and Diskless: A Unified Architecture for Streaming and Analytics

​
Apache Kafka data has historically been expensive to store and difficult to analyze, often requiring complex ETL just to get streams into a data lake. In this session, we’ll explore a new paradigm that runs Standard, Diskless, and Iceberg Topics side-by-side within a single cluster. We’ll dive into practical use cases: keeping standard topics for sub-100ms latency, using Iceberg Topics to turn streams into native tables for zero-ETL analytics, and leveraging Diskless Topics to cut costs on high-volume logs.

​Guilherme Caminha is a Senior Software Engineer with nearly a decade of experience across backend systems and cloud environments and a strong focus on backend development and modern Python engineering. At Aiven, he contributes to building and improving the company’s managed Kafka platform, helping ensure reliable services and smooth operations for customers worldwide.

​​🌟 Iceberg v3: Solving Delete Performance, Schema Evolution, and Semi-Structured Data Challenges

​Cesar Vinicius Züge a seasoned Senior Data Engineer with deep expertise in building large-scale, high-frequency data platforms across automotive and enterprise environments. Specializing in Apache Iceberg–based Lakehouse architectures, they have led complex migrations, designed end-to-end pipelines with Spark, Flink, and Airflow/Dagster, and delivered robust data quality and governance solutions.

​​🌟 Data engineering for AI/ML with Apache Iceberg on AWS

​Hassan Bhatti is a Senior Analytics Specialist at AWS. Experienced data architect, data scientist, and software engineer with master’s degree in computer engineering. Having leadership experience as product owner and scrum master. Professional experience in telecom industry, IT consulting and social welfare. Calm and humble personality, perceived as insightful, self-driven and cooperative by the colleagues.

​

​​​​Notes

​​​​Apache Iceberg, Iceberg, Apache, Apache Spark, and the Apache Iceberg project logo are either registered trademarks or trademarks of The Apache Software Foundation. Copyright © 2025