DDM Dora
DDM Dora is the data modeling agent powered by large language models. It is integrated into DDM Client as the Intelligent Modeling Assistant and helps users design models, generate SQL, query data, and analyze results through natural language.
Typical users
| Role | Typical use |
|---|---|
| Data architect | Generate entities, relationships, and attributes from business language |
| Data modeler | Apply enterprise standards and review model changes |
| Data engineer | Generate, review, and optimize SQL and warehouse models |
| Business analyst | Describe requirements and produce analysis insights |
Key capabilities
- Conversational modeling for entities, relationships, and attributes.
- Business interpretation and property generation from requirements.
- Visual confirmation of changes in the current model and canvas.
- MCP services, knowledge bases, attachments, and other tools.
Guides
| Goal | Guide |
|---|---|
| Configure Dora and the model | Getting started |
| Create and adjust models with conversation | Conversation and visual modeling |
| Connect external tools and data platforms | MCP services |
| Use standards, knowledge bases, and files | Standards, knowledge bases, and attachments |
| Configure built-in or custom agents | Agents |
| Query data and generate SQL | Data analysis and SQL assistance |
| Manage global settings and AI audit records | Administration |
Review generated changes
Dora works with the current model context and available tools. Before a task, confirm the target model, entities, and permitted scope. After each task, verify the model tree, canvas, and change history. Generated content does not replace model review, data permissions, or human approval.