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The Measures and Dimensions windows identify the fundamental structure of the created cube. Under Measures, we could click Fact Internet Sales and add new measures such as Unit Cost and Total Product Cost using the context menu. Using the Measures context menu, we could add measure groups, which are an organizational approach to categorizing what could potentially be hundreds of attributes (cost measure groups or tax measure groups or income measure groups). The Dimensions window s Hierarchies tab allows us to access DimCustomer and, if we so desire, the Geographic key of the DimCustomer table could be used to create a geographic layer in the hierarchy of the dimension. By adding the DimGeography table to the DimCustomer hierarchy, new types of aggregation would be available to the developer such as to aggregate the data in the cube by a customer s state, city, or postal code. The Attributes tab of the Dimensions window allows the attributes of the dimension to be seen. The attributes include the columns within each member of a dimension. For the DimProduct dimension, the product-related columns would be available, but so would the columns associated with the category and subcategory members of the product hierarchy.

can enable Database Mail using the Surface Area Configuration tool, and you can configure it using the wizard within Management Studio (right-click the Database Mail icon in the Management folder of your server and select Configure Database Mail). You also need to set up profiles and accounts within SQL Server 2005 and have an SMTP connection defined for this example to work. This is a very simple process, and details for performing the procedure manually are provided within BOL if you do not wish to use the wizard.

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In late 2006 I was lucky enough to secure an interview with a veritable SSIS VIP Donald Farmer, , Microsoft Group Manager for SQL Server Business Intelligence. Here are some important excerpts from that interview. James Wightman (JW): I d be interested to know about the perspective from which you approached the implementation and feature set of SSIS. In terms of function, did you start by examining DTS with a look to reimagining it Or did you (as I suspect) take a clean slate and work from there Donald Farmer (DF): The team approached the implementation of SSIS from two perspectives: what capabilities were needed to enable SQL Server to succeed in the data warehousing market, and what architecture best enabled those capabilities. There was a balancing act required as to what extent we would take dependencies on SQL Server features, and to what extent we would build a fully stand-alone product.

So far, a lot of work has been put into the process of creating a cube (specifically the metadata associated with a cube) with very little to show for it from a data standpoint. In order to see the data associated with a cube, the cube must first be processed (select Build Process, or right-click the project in Solution Explorer and select Process). Once the cube has been processed successfully, the underlying data can be browsed. Browsing is achieved by clicking a cube instance to display the Designer for said cube. From the Designer, select the Browser tab, and now the measures and dimensions of the cube are displayed to the left of the Browser window, as you see in Figure 10-23.

JW: Was the feature set (both internal and external) provided by the new SQL Server engine tailored in particular ways so as to better integrate (and give a more rich feature set to) SSIS I ask this because SSIS certainly feels like a more integrated and natural product than DTS, which by comparison (using it now) almost feels like a third-party add-on DF: This required us to work closely with the relational engine team on bulk-load interfaces for example However, there is also deep integration with the Analysis Services and Data Mining engines, and with the management toolset, all of which provides a more organic data-management experience for SQL Server users JW: One big advantage over existing ETL tools is how SSIS enables developers to create their own custom components I can imagine this presented a particular set of challenges and obstacles during both design and implementation.

Figure 10-23. Browser window before data is displayed To show off the browser s ability to display a cube s data, open the DimProduct dimension, drag the English Product Name attribute from Explorer window, and drop the product on the Drop Row Fields Here region of the browser. Then drag from Measures Fact Internet Sales Sales Amount to the Browser window s region labeled Drop Total or Detail Fields Here (see Figure 10-24).

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