From Stream to Table: Building a Real-Time Architecture with Redpanda and Databricks

Apache Iceberg is becoming the universal table format for the open data lakehouse era. But delivering fresh, real-time data into your lakehouse has been complex, costly, and often dependent on brittle batch jobs.

In this Tech Talk, experts from Redpanda and Databricks share how they’ve partnered to remove this bottleneck. With Redpanda Iceberg Topics and Databricks Unity Catalog, you can unify streaming, storage, and governance into one architecture that’s performant, open-standard, and production-ready.

What you’ll learn:

• Why Apache Iceberg is central to modern cloud-native analytics
• How Redpanda integrates with Databricks Unity Catalog for declarative, real-time ingestion
• How to eliminate operational overhead by replacing batch jobs and orchestration tools
  
• See it in action: live demo of Redpanda high-throughput data landing in Databricks and queried instantly

Watch now to learn how Redpanda + Databricks deliver real-time stream-to-table analytics without the operational drag.