Category: Agentic Lakehouse

The open catalog is the brain of the agentic lakehouse. Learn how Apache Polaris, Dremio's Open Catalog, and catalog-native governance enable reliable AI data access.

Building the Brain of the Agentic Lakehouse: Designing an Open Catalog Architecture

The semantic layer translates business language into accurate SQL for AI agents. Learn how virtual datasets, metric definitions, and wikis power agentic analytics accuracy.

The Semantic Layer as a Translation Engine: Bridging Natural Language and SQL

Hundreds of AI agents querying simultaneously create concurrency and isolation problems. Learn how Iceberg OCC, Dremio FGAC, and guardrail policies ensure trustworthy AI in the lakehouse.

Trustworthy AI in the Agentic Lakehouse: Reconciling Concurrency and Isolation Contracts

Traditional lakehouses expose raw directories and ambiguous schemas to AI agents, causing hallucination. Here's the mathematical case for why this fails and what fixes it.

Why Traditional Lakehouses Fail AI Agents: The Mathematical Case for the Agentic Lakehouse

Zero-ETL federation lets AI agents join real-time CRM data with historical lakehouse tables instantly. Learn the architecture, tradeoffs, and how Dremio enables it.