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data file, freehand SQL, or another data provider that does not accurately qualify dimension objects, you also must first modify the qualification (dimension, measure, detail) for the object For example, if Year in one data provider is a dimension object and in the personal data provider it is a numeric column, Desktop Intelligence will automatically treat it as a measure You cannot link these two measures until they are the same qualification Using the Definition tab shown in Figure 24-2, you can change the object qualification for any personal data providers, but you cannot change them for objects that come from a universe Once you have corrected the object qualifications, you continue to use the Data Manager to link the dimensions: 1 Select the variable in the first data provider In this example, Query 1 Cust Last Name 2 Click Link To 3 The Define Link Between Dimensions dialog box displays a list of dimension objects from the second data provider (in this case, from a personal data file) Note that only the dimensions that do not have an existing link appear Select the common dimension, Customer, and click OK

external libraries and version dependencies. Part of NUnit is open source, but it was never regarded as public, so there s little or no documentation about using it on the web today. Charlie Poole, the current maintainer of NUnit, has said that he is considering either removing it completely from the distribution of NUnit or making it public in version 3.0 of NUnit. Here are a few of the limitations of NUnit.Mocks:

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4 Repeat this process for all dimensions that are common to both queries 5 Click OK to close the Data Manager 6 Use the Report Manager to drag the new measure from the second data provider to the report table Figure 24-3 shows the combined results Notice that data from the two sources has nicely been merged into one table and a XY scatterplot that seamlessly combines data from both queries In answering the business question, the results show some relationship between higher customer visits and sales increase!

Part III:

It doesn t support stub syntax. It requires strings to expect calls on method names. It has no support for testing or firing events. It doesn t support parameter constraints (expected parameter values that are hardcoded in the test).

rior to Microsoft s acquisition of ProClarity Corporation, their primary client tool for working with Analysis Services was Excel Excel was an adequate client tool that worked for users who didn t need the power and flexibility of ProClarity and who were already familiar with Excel It made sense to use Excel as a client, since many organizations run much of their business on Excel (often to the chagrin of the IT department) With the advent of Office 2007, Microsoft significantly enhanced the analytic capabilities of Excel 2007, moving it closer to a true analytics tool It s still not as powerful as the ProClarity Professional client which is obviously dedicated to doing nothing but analysis against an Analysis Services cube but Excel 2007 contains significant improvements for performing analytics, and has moved into the realm where it is a real option for all but pure data analysts Once again, the key point is to know the users and what they need when looking at data It s entirely possible that Excel 2007 will satisfy the needs of many knowledge workers in the organization when they need to perform analysis beyond that provided by the Analytic Chart or Analytic Grid of PerformancePoint Server

Building complex queries in Web Intelligence is discussed in 23 Many of the same concepts apply to queries authored in Desktop Intelligence However, there are some additional capabilities that are unique to Desktop Intelligence

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