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| Criterion |  Knowledge Modeling Shape-First Modeling |  Delivery MoSCoW |  Knowledge Modeling Property Graph Schema Design |
|---|---|---|---|
Purposedifferent | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | When a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. | Property Graph Schema Design turns business and technical requirements into a robust graph schema. It fits when query patterns, constraints, and migrations need to be thought about together. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | Halber Tag pro Domain Slice | 30-90 min | 4-8 h initial, dann iterativ |
Participantsdifferent | 1-4 | 3-12 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Prioritized Backlog, Release Scope, Tradeoff Notes | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries |
Tagsno overlap | Knowledge graphValidationSemantic | PrioritizationScopeDecision | Knowledge graphModelingSemantic |
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