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Foundations of SQL Server 2008 R2 Business Intelligence, Second Edition by Guy Fouché, Lynn Langit

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Summary

This chapter covered the basic modeling concepts and techniques for cubes in a BI project. You saw how grain statements can be used for a high-level validation of your modeling work. You learned how best to determine what types of dimensions (fixed, SCD, or RCD) and facts (stored, calculated, or derived) will be the basis for your cubes. We also discussed the concept of hierarchies of dimensional information. If you are new to BI, you've got some “unlearning” to do. OLAP modeling is very dissimilar to OLTP modeling, mostly because of the all-prevalent concept in OLAP of deliberate denormalization.

In the next chapter, we'll introduce you to OLAP modeling with SSAS. In addition, you will discover more about measures and dimensions. Finally, ...

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