Traditional enterprise data stacks were designed for humans running scheduled queries, but with AI agents acting autonomously 24/7, this model is becoming obsolete. At Cloud Next, Google introduced the Agentic Data Cloud, a groundbreaking architecture with three key elements: the Knowledge Catalog, which automates metadata curation without manual intervention; the cross-cloud lakehouse, enabling BigQuery to query Iceberg tables across AWS S3 via private network with zero egress fees; and the Data Agent Kit, which allows data engineers to focus on desired outcomes instead of writing pipelines. This shift supports a move from reactive intelligence to proactive, agent-driven action, unlocking full enterprise data activation with AI while maintaining trust through enhanced semantic understanding. Google’s open, federated approach integrates with third-party catalogs and emphasizes cross-cloud openness, addressing the growing need for scalable, cost-effective, and outcome-focused data infrastructure.
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