Apache Iceberg™ Europe Community Meetup - Warsaw
Apache Iceberg™ Europe Meetup - Warsaw
Join us for the Apache Iceberg™ Europe Meetup! Our event is hosted in Warsaw co-hosted by Google Cloud, Starburst and Vakamo.
🎟️ When registering, please select one of the two ticket types:
In-Person Ticket: Join us on-site! Your name will be used to pre-register for venue access.
Remote-Only Ticket: Can’t make it in person? No worries—register to join the live stream, receive event recordings, and stay connected with the community.
Livestream
Agenda
5:00 pm – Registration & Networking
6:00 pm – Meetup starts
🎙️ Viktor Kessler - Apache Iceberg - Governance and Business Continuity
🎙️ Piotr Findeisen and Piotr Rżysko - GPU-enabled Iceberg Query Acceleration
7:00 pm – 7:30 pm Networking break
🎙️ Vladislav Sidorovich - Multi-cloud data access with Gemini and Apache Iceberg
🎙️ Przemysław Hejman - Pick Your Warehouse: Iceberg as Neutral Ground for AI Agent Trajectory Data
How to Get to the Venue
Address:
Rondo Daszyńskiego 2C, 00-843 Warszawa, Poland
Building Access
Goolge Cloud
🪪 ID Requirements
Presentations & Speakers
🌟 Ppache Iceberg - Governance and Business Continuity
Modern data platforms increasingly behave like software systems — but most organizations still lack safe workflows for changing data. Updating a table in production can easily break downstream pipelines, dashboards, or machine learning models.
In this session, we explore how Write-Audit-Publish (WAP) and Iceberg’s branching and tagging capabilities introduce Git-like workflows to the data lakehouse. Instead of writing directly to production tables, teams can validate changes, test transformations, and audit results before publishing them.
We’ll walk through the core concepts behind WAP, branches, and tags in Apache Iceberg, and explain how they enable safer experimentation, reproducibility, and controlled data releases.
To make this concrete, the session includes a live demo showing how to:
write data to a staging branch
validate and audit changes
publish the result to production
use tags to create reproducible data snapshots
If you’re interested in bringing software engineering best practices to data management, this session will show how Iceberg makes it possible.
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.
🌟 GPU-enabled Iceberg Query Acceleration
In this talk, we will delve into how Starburst has enhanced its query engine to accelerate queries using Nvidia GPUs over Iceberg data. We will share insights into the query engine and processing modifications made and our partnership with Nvidia, along with some benchmark results.
Piotr Findeisen is a co-founder and Distinguished Software Engineer at Starburst. He has been a Trino maintainer since 2017, back when it was still called Presto. His Trino work spans the whole project, from connectors to client tools, and includes the cost-based optimizer, work on the execution engine and SPI, sophisticated connector pushdowns (predicates, joins, aggregations), and, recently, the high-precision NUMBER type. He is also a committer on Apache Iceberg and Apache DataFusion. In Iceberg, he created the Puffin file format for table statistics and indexes, and built the Trino support for it. In DataFusion, he worked on SQL correctness and API design to make it a great building block for data processing applications such as the Rust-based dbt Fusion engine. He is currently building GPU-accelerated query execution for Starburst's Trino-based engine on top of NVIDIA RAPIDS cuDF.
🌟 Multi-cloud data access with Gemini and Apache Iceberg
Discover how to unlock multi-engine analytics by running native BigQuery SQL (DML, DDL, and AI functions) directly over Apache Iceberg tables — and explore the architecture behind it.
We'll walk the architecture end to end: how the Lakehouse Iceberg REST Catalog keeps metadata transactionally consistent while your data stays in open Iceberg format in your own Cloud Storage buckets, and how query engines read and write the same tables without vendor lock-in.
Vladislav Sidorovich, SWE at Google Cloud