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Learn about Apache Gravitino, a universal catalog solution designed to unify data and AI infrastructure management across diverse platforms and environments. Explore how this Apache Software Foundation project addresses the challenges of managing metadata, data lineage, and governance in modern data architectures that span multiple storage systems, compute engines, and AI frameworks. Discover the key features and capabilities that make Gravitino a comprehensive cataloging solution for organizations dealing with complex data ecosystems. Understand the architectural principles behind the universal catalog approach and how it simplifies data discovery, access control, and metadata management across heterogeneous data and AI workloads. Gain insights into real-world use cases and implementation strategies for integrating Gravitino into existing data infrastructure, along with best practices for leveraging its capabilities to improve data governance and operational efficiency in enterprise environments.
Syllabus
Apache Gravitino: The universal catalog for data and AI
Taught by
The ASF