Download Database Design and Applications Development With Microsoft by Rob P., Williams T. PDF

By Rob P., Williams T.

This sensible, introductory textual content matches an entire semester database educational direction or database layout direction and is designed for use with Microsoft entry 2.0 for home windows software program. This detailed textual content serves a twin goal through providing keystroke, step by step directions and sturdy database layout rules. via quite a few hands-on routines and examples, scholars will discover ways to advance and layout entire operating database purposes orientated in the direction of present criteria and the task marketplace. The Instructor's handbook contains substitute instructing principles, solutions to bankruptcy difficulties, transparency masters, and a pupil info disk with whole software initiatives.

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Use this dialog of the Data Source Wizard to confirm your connection settings. Creating a DSV is similar to creating a data source. To create a DSV, right-click the Data Source Views folder in Solution Explorer, and select New Data Source View. Click Next in the Welcome dialog. The Select a Data Source dialog will contain the data source you just created. Select this data source, and click Next. In the Select Tables and Views dialog, select the following tables from the “Available objects” 56 CHAPTER 3 ■ INTRODUCING OLAP MODELING WITH SSAS area, and place them into the Included objects: area, using the right-facing arow button or by drag-anddrop: • DimCustomer • DimDate • DimEmployee • DimGeography • DimProduct • DimProductCategory • DimProductSubcategory • FactInternetSales • FactResellerSales Figure 3–4 displays the nine tables that you will be using to create your first cube.

This is modeled in the preferred method discussed earlier in this chapter. Figure 2–7 shows the fact tables for the same project. You can see that there are nearly as many fact tables as dimension tables in this particular model example. This isn’t necessarily common in OLAP model design; more commonly, you’ll use 1 to 5 fact tables with 5 to 15 dimension tables, or more of both types. This model is used to illustrate reasons for using multiple fact tables; for example, some Session types have facts by day, whereas other Session types have facts by hour.

The Dimension Usage section of SSAS usually reflects the snowflake relationship, which you have modeled when you initially create the cube using the New Cube wizard (as long as the key columns have the same names across all related tables). If necessary, you can manually adjust any relationships after the cube has been created using tools provided in BIDS. As shown previously in this chapter, Figure 2–9 again shows the Dimension Usage grid. This time, we are going to drill down a bit deeper into using it.

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