Andi Pangeran, Head of Software Engineering at Electrum
Iceberg promises a low-cost, open table format with schema evolution and object storage as the data warehouse. But Iceberg adds operational complexity that not every workload needs. In this talk, Andi Pangeran, Head of Software Engineering at Electrum, shares a practical look at how Parquet and Iceberg actually work—the metadata layers, manifests, snapshots, and what ClickHouse does when querying them. He covers where Iceberg makes sense today, especially for cold or historical data, and where native ClickHouse storage remains simpler, faster, and easier to operate. If you're curious about whether Iceberg belongs in your stack—or not—this session will help you form a grounded answer.
This talk was delivered live at the ClickHouse Jakarta meetup on December 9. The full agenda can be found at https://www.meetup.com/clickhouse-indonesia-user-group/events/311988089/

Building the Future Data Lakehouse: Iceberg & ClickHouse
Erlebe, wie du Performance, Offenheit und Governance in deiner Datenplattform vereinst

Data lakehouses (in under 3 minutes)
Mark Needham

Supercharging Verihubs Data Warehousing with ClickHouse
Ray Antonius, Software Engineering Lead at Verihubs