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A semiadditive measure is different from the additive measures you ve seen thus far because it can be summed along some, but not all, dimensions in a cube. A common use of a semiadditive measure is a value for a fixed point in time (also known as a snapshot), such as inventory quantity. Inventory quantity can be summed up along the Product dimension to find out how many bikes are in stock on a given day, but you can t sum this measure across the Time dimension. For example, the number of bikes you had in stock at the end of the first quarter can t be added to the number of bikes you had in stock at the end of the second quarter (at least, not if you want the correct result!). The measure of inventory on hand over time requires you to look at the value at the end of the time period only, not the sum of all values over the period. When you add a semiadditive measure to a cube, whether using the Cube Wizard or manually adding it by using the Cube Designer, you must change its default aggregation behavior.

Switching into SIMPLE mode is no problem, but when you switch back to FULL or BULK_LOGGED, you need to plan your backup strategy and be aware that there are no log backups up to that point So when you use the ALTER DATABASE command to change from SIMPLE to FULL or BULK_LOGGED, you should rst make a complete database backup in order for the change in behavior to be complete Remember that in SIMPLE recovery mode, your transaction log is truncated at regular intervals This recovery mode isn t recommended for production databases, where you need maximum transaction recoverability The only time that SIMPLE mode is really useful is in test and development situations or for small databases that are primarily read-only I suggest that you use FULL or BULK_LOGGED for your production databases and switch between those modes whenever you need to..

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This book presents information using conventions designed to make the information readable and easy to follow. Before you start the book, read the following list, which explains conventions you ll see throughout the book and points out helpful features in the book that you might want to use.

When baselines and benchmarks are used, they are generally the first and last tests you will execute, respectively. Of all the tests that may be executed during the course of a project, it is most important that baselines and benchmarks be well understood and controlled, making the validations discussed above even more important.

[Browsable(true), Category("Miscellaneous"), DefaultValue(dftShowAll), WebPartStorage(Storage.Personal), FriendlyName("Show All"), Description("Choose complete or compact display.")]

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Note This result of handling dynamic visibility when rendering to Excel is unlike rendering to MHTML or the page-oriented formats, PDF or TIFF. In those formats, only the currently visible rows are rendered. By contrast, all rows whether visible or not are rendered in the Excel format. 5

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Software restriction policies are a feature in Windows XP and later versions of Windows that can regulate which software users can run on a computer. Organizations use software restriction policies to protect users from running malicious software; by limiting users only to trusted software, the organization greatly reduces security risks. Additionally, they relieve the user of the burden of deciding which software is safe to run. However, software restriction policies can inadvertently block a legitimate application. If this happens, you ll see the dialog box shown in Figure 4-11. If you attempt to run a blocked program from a command prompt, you ll see the message, The system cannot execute the specified program.

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8. After the command completes successfully, type the following:

You now have a design for the method header and a set of tests for the method, so next you must create the method body. You could make it work like this: 1. Calculate the fraction of the amount that you want (this is the percentage divided by 100; in other words, 50 percent would give you 50/100, which is a half). 2. Multiply the incoming amount by this fraction to create the result. The getPercentage method that uses this technique would look like the code shown here.

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