Accelerating the search for antimicrobial peptides with Google Antigravity
deepmind.google·3h ago
Cloud & Infrastructure
Google Cloud Blog·3h ago·5 min read
Bringing the borderless Lakehouse into the agentic era with innovations for Gemini
TL;DR
Google Cloud's Gemini now integrates with borderless Lakehouse, enabling AI agents to access and reason over data across multiple platforms without moving it. This innovation simplifies data access and accelerates AI adoption in organizations.
✦ Why It Matters
Start integrating Gemini with your borderless Lakehouse to enhance data access for AI agents today.
Key Takeaways
- Integrate Gemini with your borderless Lakehouse for seamless data access.
- Utilize natural language queries to enhance user interaction with data.
- Leverage cross-cloud caching to improve query performance.
- Adopt Apache Iceberg for efficient data processing and management.
How It Works
The Gemini integration with the borderless Lakehouse allows AI agents to access data across multiple clouds without moving it. This is achieved through catalog federation, enabling direct queries to data sources like Databricks and Snowflake.
Cross-Cloud Interconnect provides a dedicated connection for low-latency data access, while caching optimizes repeated queries. The use of Apache Iceberg enhances data management by allowing efficient updates and deletions without rewriting entire files.