Change control for Group Policy in .NET
Part III
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Creating and Using Libraries
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Managing Your Music
Available data fields are displayed in the PivotTable Field List, ready for dragging onto one of the four table areas: Data: The center of the table that displays data aggregates, such as the sum of Internet Sales shown in Figure 48-1. Row headers: Category data that provides row groupings on the left side of the table (e.g., Country in Figure 48-1). Column headers: Category data that provides column groupings along the top of the table (e.g., Fiscal Year in Figure 48-1). Page: Provides an overall filter for the PivotTable that does not change the layout of the table. This area is unused in Figure 48-1, thus noted by the Drop Page Fields Here notation in the table. In addition to page-wide filters, any field in the row or column headers can select any subset of the current category values. After a bit of practice, generating a desired view in this environment is extremely time efficient, limited mostly by the speed of the underlying data source. When built against a relational data source, the data displayed is cached within the Excel workbook, so analyzing large data sets results in large workbook file sizes. Using a multidimensional data source (Cube) relies on the speed of the Analysis Services server when running a query for each change to the PivotTable. Working offline with a multidimensional source requires building a local cube file. Holding the camera as you would when shooting, you should notice that the layout of the buttons and the controls seems to be just right. And, with the amazing amount of customization that is possible with the A700, some of the buttons can even be programmed to perform different functions. Prioritizing pages
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