Sets the modelling standards a project follows
Naming, abbreviation, definition and design rules chosen once and recorded in the model configuration
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 10% | Not shown |
| gemini-3.5-flash-lite | Low cost | 10% | Not shown |
| gpt-6-luna | Low cost | 10% | Not mastered |
| claude-haiku-5-5 | Low cost | 10% | Not mastered |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: Naming, abbreviation, definition and design rules chosen once and recorded in the model configuration
How it is assessed: The standards fix one naming convention and abbreviation list, a definition rule and the design principles the physical model must keep (keys, nullability, history), and the model configuration says the same
Related knobits
Builds on
- K-921 Explains data modelling and design standards
- K-919 Explains naming conventions for data model objects
- K-920 Explains database design principles
All 10 knobits of Plan the modelling and set its standards.
Source: DAMA-DMBOK2 chapter 5, element(s) DM-39, DM-38: a performance at CDMP Practitioner level