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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Cynefin Workshop |  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 problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic. | 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. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 60-180 min | 4-8 h initial, dann iterativ |
Participantsdifferent | 1-4 | 4-20 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Cynefin Map, Domain-specific Actions, Sensemaking Notes | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries |
Tagsno overlap | Knowledge graphValidationSemantic | ComplexitySensemakingDecision | Knowledge graphModelingSemantic |
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