Resources
Browse resources tailored to your team, and learn how the best data and AI teams are using DataHub.

New Research: The state of context management for agentic AI
The findings reveal a market at an inflection point: high confidence, real infrastructure gaps, and a correction already underway.
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Business Context vs. Technical Metadata: Why the Gap Breaks AI Agents
Technical metadata says what data is. Business context says what it means.…
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AI-Ready Context: Why Your Agents Don’t Need More Data, They Need to Understand It
AI-ready data isn’t enough. Agents need AI-ready context: the definitions, runbooks, and…
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Context Platform vs. Data Catalog: What’s the Difference?
A context platform is not a data catalog with AI features. Learn…
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Introducing DataHub Analytics Agent
The DataHub Analytics Agent is the first open-source talk-to-data agent built on…
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Ontology vs. Semantic Layer: What Each Does, Where They Overlap, and What’s Actually Missing
Ontology vs. semantic layer explained. Learn what each does, where they overlap,…
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Context Graph vs Knowledge Graph: Same Shape, Different Scope
Context graphs and knowledge graphs share the same shape. The real difference…
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What Is a Metadata Knowledge Graph? A DataHub Definition
A metadata knowledge graph connects your data assets, pipelines, and meaning. Here’s…
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How to Implement an Enterprise Context Layer:Â A Phased Guide for Real Data Estates
A phased, practitioner’s guide to implementing an enterprise context layer on the…
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What Is a Context Catalog? Why Data Catalogs Aren’t Enough for the AI Era
A context catalog makes metadata usable by AI agents and humans. Learn…
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Context-Aware AI Agents: Why Most Aren’t (and What It Takes to Build One That Is)
Context-aware AI agents need more than clever prompts. See why context-awareness is…
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The Glossary Is The Start: Building the Context Layer That Makes AI Work in Financial Services
Why the context layer in financial services starts at the glossary, not…
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The Context Layer for AI: What Enterprises Get Wrong
Everyone’s building a context layer for AI. Most are building the wrong…

