Scenario: A retail company wants to analyze sales data across different regions and product categories. How would you design a Dimensional Model to support this analysis?
- A hybrid approach with both normalized and denormalized structures
- Denormalized tables with dimensions for regions and product categories
- No specific design, as it depends on the specific requirements
- Normalized tables with a focus on minimizing redundancy
In this scenario, a Dimensional Model with denormalized tables is suitable. Denormalization helps in simplifying queries for analytical purposes, and having dimensions for regions and product categories facilitates easy analysis based on these criteria.
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