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Because you can add inventory values across products but not across time, this numerical value is considered semiadditive Handling semiadditive measures in Analysis Services 2000 requires you to add special calculations to a cube, but now there are several aggregate functions you can use in Analysis Services 2005, including FirstChild, LastChild, FirstNonEmpty, LastNonEmpty, AverageOfChildren, and ByAccount After putting an Analysis Services 2000 database into production, you must schedule periodic processing to include new records added to the data warehouse since the last update In Analysis Services 2005, you can still manage processing on a scheduled basis, but you also have the option to use proactive caching to trigger processing only when the source data changes By using proactive caching, you can manage the latency of the data and keep data available for queries during processing.

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If the time required to reprocess a cube is longer than the configured latency period, queries can be resolved directly from the relational source systems If you ve used the data mining features in Analysis Services 2000, or even if you re new to data mining, you ll really enjoy working with the new modeling tools and data mining algorithms included in Analysis Services 2005 In addition to the Decision Trees and Clustering previously available, you now have access to Linear Regression, Logistic Regression, Naive Bayes, Neural Network, Sequence Clustering, and Time Series algorithms The data mining tools in Analysis Services are easy to implement, but you should take care to appropriately prepare your data for the type of data mining you want to do and to understand which algorithm is applicable to the business problem you want to solve.

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More Info Take the time to read Data Mining with SQL Server 2005 by ZhaoHui Tang and Jamie MacLennan for a good comparison of the algorithms and practical examples..

22

Synchronized regions In chapter 7 we discussed creating regions of code that were protected by a lock. In C# we used the lock keyword and in Visual Basic .NET we used SyncLock. In J# the same operation is performed using the synchronized keyword. To see an example of why locks should be performed, consider the class contained in listing 18.15.

Because Analysis Services 2005 includes a new architecture for dimensions and cubes, you can t continue to use your existing Analysis Services 2000 databases with the Analysis Services 2005 server. You must rebuild the database objects from scratch, or you can use the Analysis Services Migration Wizard to recreate database objects in Analysis Services 2005. The wizard merely reconstructs these objects using equivalent (or near-equivalent) Analysis Services 2005 objects and doesn t attempt to implement an optimal design. You can, of course, make changes to the migrated database objects. In this section, we ll review the migration process.

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More Info For a thorough explanation of cube design issues that can impact migration and mapping of features before and after migration, refer to Analysis Services 2005 Migration at http://www.microsoft.com/technet/prodtechnol/sql/ 2005/asmigrtn.mspx. To use the Analysis Services Migration Wizard, follow these steps: 1. Start SQL Server Management Studio. In the Connect to Server dialog box, select Analysis Services in the Server Type drop-down list. In the Server Name drop-down list, select the instance to host the migrated databases, right-click the server in the Object Explorer window, and then click Migrate Database. On the Welcome page of the wizard, click Next. 2. On the Specify Source And Destination page of the wizard, type the name of the Analysis Services 2000 server hosting the databases to migrate. Notice you can choose Script File as an alternate destination if you want to generate an XMLA script to perform the migration another time. For this example, we ll perform the migration now. Click Next. 3. On the Select Databases To Migrate page of the wizard, all available databases on the source server are selected. Clear the selection of any databases that you don t want to migrate now. You can also change the Destination Database name on this page, if desired. Click Next. 4. On the Validating Databases page of the wizard, a validation log is generated. This log lists any warnings or errors that could affect migration, as shown in Figure 22-1. In this example, the migration of the Foodmart 2000 sample database (included with Analysis Services 2000) is validated, but warnings indicate that virtual dimensions will be renamed. You can click View Log to filter the validation log to show

Note In this example, the syntax used for the connection string and for the command text is implementation-specific. Users of this data processing extension will need to understand how to construct the connection string and command text properly. When building your own custom data processing extension, you should use the standard syntax, if available, for your data provider, and code the data reader constructor to parse these strings accordingly. 4

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