The modern data stack was built for humans asking questions. Google just rebuilt its for agents taking action.
venturebeatEnterprise data stacks were built for humans running scheduled queries. As AI agents increasingly act autonomously on behalf of businesses around the clock, that architecture is breaking down — and vendors are racing to rebuild it. Google's answer, announced at Cloud Next on Wednesday, is the Agentic Data Cloud.
The architecture has three pillars:
Knowledge Catalog. Automates semantic metadata curation, inferring business logic from query logs without manual data steward intervention
Cross-cloud lakehouse. Lets BigQuery query Iceberg tables on AWS S3 via private network with no egress fees
Data Agent Kit. Drops MCP tools into VS Code, Claude Code and Gemini CLI so data engineers describe outcomes rather than write pipelines
"The data architecture has to change now," Andi Gutmans, VP and GM of Data Cloud at Google Cloud, told VentureBeat. "We're moving from human scale to agent scale."
From system of intelligence to system of action
The core ...
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