Selects the tools and repository for a modelling project
The modelling, generation and repository tools, with where versions and baselines are kept
Can AI do this?
AI does this well Most of the tested AI models master this. 3 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 90% | Mastered |
| gemini-3.5-flash-lite | Low cost | 90% | Not shown |
| gpt-6-luna | Low cost | 91% | Mastered |
| claude-haiku-5-5 | Low cost | 90% | 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: The modelling, generation and repository tools, with where versions and baselines are kept
How it is assessed: Tools cover modelling, DDL generation and lineage, and a repository with tagged baselines is named
Related knobits
Builds on
- K-917 Explains the tools supporting data modelling
- K-916 Explains data model versioning and change management
All 10 knobits of Plan the modelling and set its standards.
Source: DAMA-DMBOK2 chapter 5, element(s) DM-31, DM-34: a performance at CDMP Practitioner level