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In order to make this interactive, the developer has more to modify on the Grouping and Sorting Properties dialog box Right-clicking on the textbox with the quarters in it and then choosing Edit Group reopens the dialog box On the Visibility tab are the options needed to make the report more interactive First, the initial visibility should be set to Hidden, which means quarters will not be shown by default However, users should be able to view the quarters as necessary, so the next step is to check the box labeled Visibility Can Be Toggled By Another Report Item In the Report item drop-down box, the developer chooses the item that can show or hide the quarters In this case it would be the box named Calendar_Year Allowing users to expand from countries to the states or provinces that make them up would follow a similar path The developer right-clicks on a row or column selector and then chooses Add Row Group The expression for the Group On section would be set to Fields!State_ProvinceValue On the Visibility tab, the initial visibility would be set to Hidden and the visibility would be toggled by the Country textbox Figure 10-12 shows how this report might look The user has clicked the plus sign next to Australia and Canada to expand them In addition, the year 2001 has been

Tables are individual database tables that provide data A table may be a physical table in the RDBMS, or it may be a view or synonym Designer provides functionality to create aliases that are treated like tables Further, Designer allows you to create derived tables that are SQL queries, as an alternative to a DBA creating a stored procedure or a view In a data warehouse or data mart environment, you will have two types of tables: 1) a fact table that contains numeric information and 2) dimension tables that allow a user to analyze the numeric data from different perspectives such as product, time, or geography The fact table can have millions of detailed rows of data or can be smaller, with summary numbers One fact table together with its associated dimension tables is referred to as a star schema There can be multiple fact tables and star schemas within a universe

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Part II:

Dimension tables are also referred to as lookup tables or reference tables The dimension tables can be broken into more than one table; for example, detailed material IDs may reside in a MATERIAL_ID table The groupings and product hierarchy for the material IDs may reside in a separate table such as PRODUCT_GROUPING This type of structure, referred to as a snowflake design, is used in some data warehouses that have extremely large dimensions In a normalized OLTP, both the fact tables and the dimension tables may be spread across many tables For example, order information may exist in both an ORDER_HEADER table and an ORDER_LINES table Dimensions and hierarchies often do not exist in the OLTP (note in Figure 6-5 that there is no Time or Plant table, just the individual facility that produced the product) Only the individual material IDs, customer IDs, and so on are stored with detailed records BusinessObjects XI does not allow a universe to point to two different databases, so when users want to analyze transaction details with reference data, it generally calls for a data warehouse or data mart However, if this is not immediately possible, BusinessObjects provides a work-around in the end-user interfaces You, as the designer, can create two separate universes: one that points to the OLTP and one that points to the dimension database Users then would have to build two queries; however, as long as the detailed key information is named consistently between the universes, the results will be nicely displayed in one table, without the user having to manually stitch the two result sets together This technique is discussed further in 23

Unit-testing frameworks can help make helper methods more generic like this, so tests are written more easily. We ll talk about that in chapter 2. But before we get there, I d like to discuss one important matter: not just how you write a unit test, but when during the development process you write it. That s where test-driven development comes into play.

6:

Figure 10-12 This is a report featuring a parameter and a matrix control that allows users to expand members to lower levels of detail

FIGURE 6-5

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