What problem does it solve?
Qlik data modeling is often hampered by synthetic keys, grain misalignment, and monolithic architectures. This skill provides a structured playbook to design, validate, and evolve star-schema driven models that are scalable, maintainable, and compatible with multi-app deployments.
Core Features & Use Cases
- Star-schema design patterns: guidance on fact/dimension architecture, grain alignment, and cross-app reuse.
- Synthetic key prevention: entity-prefixing, bridge tables, ApplyMap, and explicit column listing.
- QVD layering & multi-app patterns: Raw/Transform/Model layers and generator/consumer architectures for shared data services.
- Adaptability to source architectures: strategies for Dimensional Warehouses, OLTP, Data Vault 2.0, and pre-joined views.
Quick Start
Review the star-schema patterns and implement a starter model in a test project using the recommended approaches.