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[TestFixture] public class ConfigurationManagerTests :BaseTestClass { [SetUp] public override void Setup() { base.Setup(); Overrides and } calls base //... }

Just because information is in the data warehouse or data mart, that doesn t mean it needs to be in the universe For example, data warehouses may contain dimension histories seldom used by end users Likewise, data warehouses may contain only raw data elements that require a bit more intelligence in the universe Likewise, just because users haven t specifically asked for something in a JAD session, that doesn t mean it shouldn t be in the universe As an example, let s assume your company has a goal for on-time delivery performance REQUESTED_DELIVERY_DATE and SHIP_DATE may be columns in an ORDER_FACT table In evaluating how this universe is aligned with the company s business goals, a good universe designer will know to add an object called Days Late that calculates the difference between the requested delivery date and actual ship date Users may not know what SQL functionality can be added to database columns A universe designer must be well versed in SQL reporting capabilities that can make the universe more robust Herein lies one of the greatest challenges in designing a good universe: you must know both the business and SQL SQL-certified experts may be proficient in creating tables, optimizing indexes, and loading volumes of data quite efficiently This is not to say they know how to extract that same data into a report that provides business insight This mixed skill set can be a challenge in identifying the best universe designer in a company (refer to 3 for a discussion on project roles) It s often a DBA who has the SQL technical skills A universe designed by a DBA with little knowledge of the business may be technically robust but lack the business functionality required Universes designed by power users trained in SQL may have more robust business functionality, but with suboptimal joins or objects that result in slow queries Therefore, it s important that both a DBA and a power user jointly develop and review a universe.

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If you are building a new data warehouse or data mart in conjunction with your BusinessObjects XI implementation, ideally your development efforts are already driven by business goals Requirements gathering in the development stage will drive the fact table design as well as the universe design As discussed in 14, many of the issues at this stage will be where to put the intelligence in the fact table or in the universe

Part II:

to be added The developer can click on the Dimension drop-down box or drag the dimension attribute or hierarchy from the Metadata tab and drop it on the Filters area When this happens, the name of the dimension and hierarchy are displayed An operator column can be changed from Equal to a number of other items, such as Not Equal, Contains, and Beings With Next, the developer can choose members from the hierarchy in the Filter Expression drop-down list This is useful when the report has a hard-coded filter on the data that the user can neither see nor modify The final column in the filter area is a check box named Parameters Simply checking this box makes the current hierarchy a parameter, and this causes at least three things to happen First, while nothing changes on the report at design time, the report at runtime will have a drop-down box for the parameter Second, the original query is modified to now include the value of the parameter in the report Finally, a new dataset is created that retrieves the data to fill the parameter drop-down list for the report at runtime Figure 10-9 shows what the query looks like in design mode with a parameter added

This type of coding may feel a bit weird at first, but anyone reading the tests will thank you for making it clear what s going on.

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