Unifying Analytical and Operational Data for AI Agents
🚀 Google Cloud introduces its Agentic Data Cloud to remove the barrier between analytical history and live operational data, enabling real-time AI decisioning. By integrating AlloyDB, BigQuery, and Spanner with features like Lakehouse federation, Reverse ETL, Spanner Columnar Engine, and Datastream CDC, the platform aims to eliminate latency and brittle pipelines. It also expands Knowledge Catalog to provide unified governance and reduce agent hallucinations.
