Source
Looker’s semantic layer governs Gemini Enterprise data for user trust
Google has integrated Looker's governed semantic layer into Gemini Enterprise to allow users to query structured enterprise data using natural language.
Why it matters
This prevents AI from guessing business metrics, ensuring employees receive accurate and consistent data for faster decision-making.
The details
- Looker agents use a zero-risk pass-through architecture and do not store database records.
- Existing row and column-level access controls are maintained via OAuth authorization.
- The system provides native interactive data charts within the Gemini chat interface.
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In this article
Key connections
Google owns Deep Research Agent
Deep Research Agent is a first-party Google Cloud agent.
Gemini Enterprise uses Looker
Gemini Enterprise integrates Looker's governed semantic layer to power structured data analytics.
Looker analysts publish conversational agents into Gemini Enterprise via the A2A protocol.
Gemini Enterprise uses OAuth
Gemini Enterprise requires user OAuth consent to bind sessions to Looker credentials.
Looker generates deterministic SQL from its semantic layer.
Looker executes queries against BigQuery data storage.
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Looker connects to AlloyDB for structured data analytics.
Looker connects to Spanner for structured data analytics.
Looker is a partner of Deep Research Agent
Looker agents share structured insights with first-party agents like Deep Research Agent.
Gemini Enterprise is related to NL2SQL
Gemini Enterprise addresses NL2SQL limitations by embedding Looker's governed semantic layer.
Gemini Enterprise uses Artificial Intelligence
Gemini Enterprise brings Google artificial intelligence capabilities to workplace data and self-service analytics.
Related events
Looker Integrates Governed Semantic Layer into Gemini Enterprise
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