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Expert Cube Development with Microsoft SQL Server 2008

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Designing the Data<br />

Warehouse for Analysis<br />

Services<br />

The focus of this chapter is how to design a data warehouse specifically for<br />

Analysis Services. There are numerous books available that explain the theory<br />

of dimensional modeling and data warehouses; our goal here is not to discuss<br />

generic data warehousing concepts but to help you adapt the theory to the needs<br />

of Analysis Services.<br />

In this chapter we will touch on just about every aspect of data warehouse design,<br />

and mention several subjects that cannot be analyzed in depth in a single chapter.<br />

Some of these subjects, such as Analysis Services cube and dimension design, will<br />

be covered in full detail in later chapters. Others, which are outside the scope of this<br />

book, will require further research on the part of the reader.<br />

The source database<br />

Analysis Services cubes are built on top of a database, but the real question is: what<br />

kind of database should this be?<br />

We will try to answer this question by analyzing the different kinds of databases we<br />

will encounter in our search for the best source for our cube. In the process of doing<br />

so we are going to describe the basics of dimensional modeling, as well as some of<br />

the competing theories on how data warehouses should be designed.<br />

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