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Master Data Modeling in Microsoft Fabric
Build warehouses that analysts trust—and engineers can maintain
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PHOENIX DATAWORKS / FIELD GUIDE
Master Data
Modeling
in Microsoft Fabric
Inside the guide
Give every measure a clear context.
The guide explains how fact tables capture measurable events while dimensions describe those events. For sales reporting, product and date dimensions provide the context around each transaction.
Product dimensionSales fact
Quantity · amountDate dimension
Quantity · amountDate dimension
Illustration of a pattern discussed in the guide. The PDF covers dimensions, keys, relationships, and modeling practices.
Preview a page from the PDF
What's inside
- Fact and dimension table design
- Kimball dimensional modeling principles
- Keys and relationships for analytical queries
- Fabric warehouse practices and Power BI integration
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