Apache Iceberg provides a strong foundation for open data lake tables, but production-grade deployments often need more than a table format. They need unified metadata access, secure authorization, cloud-native credential management, query acceleration, and automated maintenance.

In this session, we will present how Apache Gravitino enhances Iceberg with advanced management and acceleration capabilities. We will show how Gravitino provides a unified metadata view, enables federated analytics across Iceberg and Lance, supports credential vending in cloud environments, and offers centralized authorization for multiple engines. We will also cover performance-oriented features such as scan planning and table cache, as well as the Table Maintenance Service for automated table operations.

This session will be useful for engineers and architects building secure, open, and high-performance lakehouse platforms on top of Apache Iceberg.

Speakers:

Xiaojing Fang: Apache Gravitino Committer

Apache Gravitino Committer, architect at China Mobile, focusing on data and AI infrastructure.