Branching and Tagging Apache Iceberg Tables

Apache Iceberg enables you to manage data changes in your lakehouse with the same safety and control teams expect from modern software development. But most organizations only use a fraction of their capabilities.

In this 90-minute hands-on session, we’ll go beyond basic snapshots and time travel to explore how Iceberg features like rollbacks, branching, and tagging enable safer experimentation, easier recovery, and more controlled data deployments.

You’ll see practical examples and workflows you can apply immediately to make your Iceberg tables more resilient and production-ready.

In this session, you’ll learn how to:

• Use snapshots, time travel, and rollbacks to manage and recover data changes safely
• Apply branching and tagging for safe experimentation and blue/green-style data deployments
• Design workflows for multi-tenant environments and incident recovery in production lakehouses

You’ll leave with concrete workflows, example commands, and design patterns you can apply to make your Iceberg tables more resilient, flexible, and production-ready.