Closing the Resilience Gap in Your AWS Data Lakehouse

For most enterprise AI and analytics teams running on AWS, Apache Iceberg sits directly at the center of the data lakehouse. It's the critical open-table layer that makes massive datasets queryable, and also the layer almost nobody has an actual recovery plan for.

Since Iceberg tables now feed real-time ML models, automated decision engines, and financial reporting, a catalog corruption or bad write isn't just an IT issue, it stops business operations entirely. Join Rubrik and AWS for an executive fireside chat on protecting a production data lakehouse and achieving rapid, verified recovery.

What You'll Learn

• Recognize Lakehouse Vulnerabilities: why the data lakehouse has quietly become the most critical infrastructure layer, and why traditional backups leave it exposed.
• Master Catalog-Aware Recovery: how catalog-aware recovery works, and why restoring raw S3 files without automatic catalog alignment leads to hours of manual repair.
• Isolate & Automate Protections: how Rubrik and AWS protect the complete lakehouse stack using isolated, external backups and automated catalog restoration.