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In rows 2 and 3, and columns F and G, you ll see once again the numerical series mentioned above used as an auxiliary construct . The numerical series don t increase in parallel, and you ll notice that the numbers highlighted in blue also include some negative values . As you ll see yourself later when developing your own model, both of these features have to do with the positioning of the node, which I employ as a reference for the OFFSET function that I like to use so often . The figures in red are intended to make the parameter data easier to read . This is why, for example, the red 01 is placed in row 12, the row containing the data from the first of the company s branches . The formulas created on the basis of this data are introduced later in this chapter . I almost always give the node a nice strong yellow background, so that its position can be detected at a glance . All cells containing formulas have a light gray blue background to visually distinguish them from other cells in the worksheet . This distinction is particularly important and useful during the design phase of your solution . Partial locking of cells while the solution is in development isn t really possible and would be of little use, but the color coding of cells should ensure that formulas aren t accidentally overwritten . It s also important, for various practical reasons, to be able to identify as quickly as possible which worksheet data is calculated and which is constant .

Enables you to stay with your current vendor product Storage in native XML format Files are already parsed

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The L11:AD11 cell range has been assigned a particularly striking color because it contains a special construct that isn t used very often . The step-by-step instructions provided later explain in more detail how this construct is used to give the user the option of completely hiding the data series on which the chart is based by selecting the option none . This option is provided in the most prominent position of the selection list in the user s focus (i .e ., at the very top of the drop-down list) . The column with the header ID and a light green background is also a special construct, designed to help with individual filtering of a list . Finally, the two colors used in row 5 in conjunction with the labels Campaign and Reverberation help to identify which data belongs to which evaluation segments without reference to a chart during the development phase .

On the whole, then, this is a pretty colorful worksheet! But it's important to note that careful consideration was given to the use of each of these colors, and that they are all provided to make the sheet easier to use . Naturally, in a worksheet intended for presentation or publishing, different, much less colorful and, in some cases, more subtle color schemes would be used .

about its behavior, and you can increase the verbosity of the loggers. If you set the verbosity to be diagnostic, then all properties and items are dumped by the logger. With that being said, let s discuss the other methods. We will now discuss the second option, the Debugger.Launch() method. When you are trying to debug an MSBuild task, one technique that I have seen employed is to add the statement System.Diagnostics.Debugger.Launch(). Typically you will place this statement inside the Execute method. When this statement is encountered, you will be prompted about attaching a debugger to the process. After this you can start executing the build script that you would like to debug that invokes the task you are trying to debug. You should be prompted with a dialog similar to the one shown in the Figure 4-10.

There are many circumstances in which it is not appropriate to store your data as XML, even if your application is internally XML-based. One key example is transactional data, especially when it must be highly available and replicated. Relational database systems are very good at optimizing queries, ensuring data integrity, and replicating data across instances. There will be a time when XML databases can claim the same performance and reliability characteristics, but not yet. Another key situation in which you should still prefer relational databases is when your data are highly interrelated. Using an RDBMS will allow you to normalize those data, eliminating redundancies and increasing integrity. XML technologies such as XLink and XPointer are not nearly mature enough at this point to allow you to normalize an XML data repository. Deriving useful data from disparate XML data sets is currently difficult and expensive in terms of resource utilization and processing time. As XQuery and other XML technologies are implemented and refined over time, these concerns will diminish. In the nearer future, storing your data relationally and converting to XML is still your best option in many situations.

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