Describe your business entities and sources, and the AI proposes hubs, links, and satellites with hash keys and load metadata — Data Vault 2.0 conventions included
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Describe the domain once and move between conceptual, logical, and physical views — the AI carries entities, attributes, and keys across each level
Design professional data warehouse architectures showing ingestion, storage layers, transformation, and serving patterns
Name the business process and the AI proposes the fact table, its grain, and the dimensions around it — with columns and keys filled in
Common questions about ai data vault model generator
Yes — hubs carry business keys and hash keys, links carry the relationship hashes, satellites hang off their parent with load_date and record_source columns. The point is that a reviewer who knows DV2 immediately recognizes the shapes.
The AI applies the standard test — business keys become hubs, relationships become links, descriptive and changing attributes become satellites — and annotates anything ambiguous as an assumption you can override, which makes it a good first pass to argue with in a modeling session.
Model the raw vault here, then generate the star schemas your marts expose downstream and connect the two on one canvas — the full path from source through vault to marts is the diagram most DV teams never get around to drawing.
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