Streaming Iceberg Tables: Query Streaming Data with Zero-ETL
Zero-ETL breakthrough that lets you query real-time streams as Iceberg tables for modern data lakehouses
Join Redpanda for a first look at Iceberg Topics — our revolutionary new capability that allows you to query streaming data as Apache Iceberg tables with zero-ETL.
Designed for modern data lakehouse environments, Iceberg Topics eliminates the need for Kafka Connect, custom ETL pipelines and data duplication. Whether you're powering real-time analytics, blending historical and streaming insights, or enabling Agentic AI use cases, Redpanda's support for Apache Iceberg transforms your data architecture with push-button simplicity.
In this session, you’ll learn:
- What Iceberg Topics are and how you can leverage in any of your AWS/Azure/GCP environments today for BYOC (Bring Your Own Cloud) or Self-managed deployments
- Catalog and instantly query Redpanda topics as Iceberg tables
- A live demo showing catalog integration, schema evolution, custom partitioning, and DLQ capabilities
- Use cases for real-time + historical analytics, AI pipelines, and beyond
This is your front row seat to see how Redpanda is reimagining streaming to unify operational and analytical estates — with zero-ETL friction.
