Streamlining metadata management with PostgreSQL and Apache Gravitino
Presented by:

Lisa Cao
Lisa is a data engineer, product manager, and speaker in open source data infrastructure and DataOps fields. Through her work at Datastrato, creators of Apache Gravitino, she is redefining the data cataloging space for generative AI use cases and end-to-end data integrations. She currently serves on the Linux Foundation's Outreach committee, leads the Open Platform for Enterprise AI's (OPEA) Developer Experience Working Group, and leads the Continuous Delivery Foundation's (CDF) DataOps Initiative.
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Managing metadata efficiently is critical for modern applications, and databases like PostgreSQL provide an excellent foundation. PostgreSQL is a robust, open-source database known for its powerful features, scalability, and reliability, making it ideal for metadata storage and management.
Apache Gravitino complements PostgreSQL by offering advanced metadata management capabilities. Leveraging PostgreSQL, Gravitino provides centralized and secure metadata storage, multi-regional data with geo-distributed architecture and simplified management.
By combining Gravitino's unified data and AI asset management with PostgreSQL's proven database capabilities, you get a comprehensive solution that simplifies metadata management. Focus on extracting value from your data while Gravitino and PostgreSQL handle the complexity behind the scenes.
- Date:
- 2025 March 21 14:00 EDT
- Duration:
- 50 min
- Room:
- Seminole B
- Conference:
- Postgres Conference 2025
- Language:
- Track:
- Ops
- Difficulty:
- Easy