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CHAPTER 6 Universe Design Principles CHAPTER 7 Using Designer to Build a Basic Universe CHAPTER 8 Universe Joins CHAPTER 9 Classes and Objects CHAPTER 10 List of Values CHAPTER 11 Advanced Objects CHAPTER 12 Multidimensional Analysis CHAPTER 13 Securing the Data CHAPTER 14 Design Principles: Where to Put the Intelligence CHAPTER 15 Minimizing Universe Maintenance CHAPTER 16 Getting Ready for Production

The Setup method from the base class is now automatically run before each test in either of the derived classes. We ve definitely reused some code, but there are pros and cons in every technique. The main problem we ve introduced into the derived test classes is that anyone reading the code can no longer easily understand what happens when setup is called. They will have to look up the setup method in the base class to see what the derived classes get by default. This leads to less readable tests, but it also leads to more code reuse. What if you wanted to have your own derived setup in one of the derived classes Most of the unit-testing frameworks (including NUnit) will allow you to make the setup method virtual and then override it in the derived class. Listing 6.3 shows how a derived class can have its own setup method but still keep the original setup method (making them work one after the other).

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eb Intelligence and Desktop Intelligence are a powerful ad hoc reporting and analysis tools The single greatest component of either tool that will make your implementation succeed or fail is the universe A universe is a business representation of your data warehouse or transaction database It shields users from the underlying complexities of the database schema Business Objects often refers to this as its patented semantic or metadata layer In all your development efforts, you must stay focused on that purpose: business representation If your universe becomes a glorified entity-relationship model, your project will fail If your universe includes every data element any user may possibly want from now to eternity, your project will fail Universes can become unwieldy for end users Poorly defined joins will result in unnecessarily slow queries The universe is the most important component to get right This chapter discusses concepts that will help you build a better universe and core universe components

I have seen universes that include thousands of objects and every table in the data warehouse Such universes are difficult and, more important, are overwhelming for even expert users The result End users create invalid queries and blame the tool for bad data With such an overwhelming interface, users feel safer exporting the data to spreadsheets or MS Access databases, thus creating multiple versions of the truth and causing unnecessary data reconciliation To build a successful universe, keep it simple The universe should be useful for a clearly defined group of users and should not have much more than 200 objects in it Are there welldefined universes with more than 200 objects Yes, but the target user group is much more sophisticated in their knowledge of both the data and the tool The ideal number of universe objects will vary from organization to organization Keep in mind that bigger universes are technically feasible but not user friendly Having more universes to build and maintain may result in slightly higher maintenance costs but will significantly increase end-user productivity and satisfaction As your target user group expands, constantly ask yourself if the needs are distinct enough to justify a separate universe If some users need only a handful of additional objects, keep them in the same universe However, if they need many additional objects, create a separate universe

Figure 10-8 The matrix now has subtotals added for both the rows and columns Some simple formatting has been applied to change the background color for the row and header columns as well as the subtotals

public class BaseTestClass { [SetUp] public virtual void Setup()| {

Part II:

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