Concepts¶
Deep explanations of how things work.
Core Concepts¶
| Concept | Description |
|---|---|
| Understanding URNs | How DataHub identifies entities |
| Entity Types | Datasets, dashboards, pipelines, and more |
| Lineage Model | How DataHub tracks data flow |
| MCP Protocol | How AI assistants communicate with tools |
Why These Concepts Matter¶
Understanding these concepts helps you:
- Write better queries: Know what to search for and how
- Interpret results: Understand what URNs and entity types mean
- Debug issues: Know where to look when things go wrong
- Extend the system: Build custom integrations effectively
Learning Path¶
flowchart LR
A[URNs] --> B[Entity Types]
B --> C[Lineage Model]
C --> D[MCP Protocol]- Start with URNs to understand how entities are identified
- Learn Entity Types to know what kinds of data exist
- Understand Lineage to see how data flows
- Learn MCP to understand how AI assistants use tools
Difference from Tutorials and Guides¶
| Type | Purpose | Example |
|---|---|---|
| Tutorials | Learn by doing | "Build your first search" |
| Guides | Solve specific problems | "How to add authentication" |
| Concepts | Understand why/how | "How URNs work" |
| Reference | Look up details | "API parameter list" |
Concepts explain the "why" behind the system design.