Announcing MCP Toolbox Java SDK v1.0: Agentic data access for the enterprise
cloud.google.com·6d ago
Cloud & Infrastructure
Google Cloud Blog·6d ago·5 min read
Managed Apache Iceberg at scale: How Spanner powers Lakehouse runtime catalog
TL;DR
Google Cloud has implemented a managed Apache Iceberg catalog to enhance lakehouse architectures, enabling seamless data sharing across various engines. This innovation supports AI-driven insights and actions at scale.
✦ Why It Matters
Consider adopting managed Apache Iceberg to streamline your data management and enhance AI capabilities today.
Key Takeaways
- Migrate to Lakehouse runtime catalog for better metadata management.
- Utilize Spanner for high availability and scalability.
- Implement credential vending for enhanced security.
- Leverage multi-engine interoperability for unified data access.
How It Works
The Lakehouse runtime catalog is built on Spanner, which combines relational SQL capabilities with the scalability of NoSQL. This allows it to handle high volumes of concurrent queries while maintaining strong consistency guarantees.
By adhering to the Apache Iceberg REST Catalog specification, it decouples metadata discovery from compute engines, enabling various analytics tools to access a shared dataset efficiently.