Open table formats need resilience that keeps pace.

Apache Iceberg on Amazon S3 Tables is becoming the foundation for scalable, open analytics — but the same flexibility that makes Iceberg powerful also introduces new recovery and governance challenges. Metadata dependencies, time-travel limitations, and multi-table consistency aren't solved by native snapshots or versioning alone.

How do you protect and recover Iceberg environments without adding operational drag?

Join Commvault for a technical deep-dive into Clumio’s protection of Apache Iceberg tables on Amazon S3 and S3 Tables — covering architecture patterns, recovery scenarios, and operational tradeoffs.

In this session, you'll learn how to:

• Migrate existing Iceberg workloads to Amazon S3 Tables
• Protect Iceberg metadata and data files as a consistent unit across large-scale S3 environments
• Recover from accidental deletes, schema corruption, or failed pipeline writes — without full table rebuilds
• Implement point-in-time recovery that respects Iceberg's snapshot model

Whether you're running production analytics pipelines or building AI/ML feature stores on Iceberg, this session covers the resilience patterns that keep you moving fast without accumulating recovery debt.