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Sometimes a star that consolidates all possible attributes is not practical. The obstacles may be technical or semantic. On the technical side, extreme variability in a dimension may result in more attributes than can be managed in a single row. Department stores, for example, may have scores of different product types, each with 50 to 100 attributes. Consolidating all of these into a single table might require over a thousand attributes, of which only a small percentage are populated for any given row. Clearly this approach will be untenable. Semantic objections to the single-table approach are also possible. A star that consolidates all possible attributes may give rise to nonsensical reports. This is likely to occur when there are type-specific dimensions and facts. Combining a dimension specific to one product type with a fact specific to another is a distinct possibility. For example, the seller of books and magazines may record the value at cover price as a fact associated with each subscription order. This fact has no relationship to books. In a single-star design, however, nothing would stop a user from combining it with book-specific attributes such as author or number_of_pages. This semantic objection may or may not be deemed significant. TIP When subtypes require type-specific dimensions or facts, a single star may incorporate all possible attributes. This may not be practical if the variation in the dimension is extreme or if the combination of incompatible type-specific dimensions and facts is a concern. In cases where either of these obstacles is present, an alternative approach to the handling of heterogeneous attributes is required. The alternative involves creating separate logical stars for each point of view. These may be implemented as separate sets of tables or simply simulated using views.

State Three Aspects of Any Application That Might Need to Be Varied or Customized in Different Deployment Locales

A dimensional design can handle heterogeneous attributes by incorporating multiple stars. A core star includes all common attributes and supports analysis across all types. Typespecific custom stars include all the core attributes, plus any type-specific attributes. Each custom star contains data for a single type. Custom stars are used when analysis is limited to a single subtype. Successful implementation of a core/custom design requires conformance of common attributes between the core dimension and each of the type-specific custom dimensions. Sometimes there are custom dimension attributes but no custom facts. Even in this situation, custom fact tables are recommended to avoid analytic mishaps. Physical implementation may take the form of separate and distinct core and custom tables or be accomplished using database views.

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1. Why is Internationalization called I18N A. Because the internationalization is just too long to write in a presentation. B. The number of characters between the first and last character is 18. C. Because I18N is the encoded UTF version of internationalization. D. Because I18N is the default ISO code for internationalization. 2. Which of the following application aspects can be customized for different locales A. Labels B. Reading a text file C. Ordering of data presented in a list D. Writing a text file

When the attributes of a dimension vary by type, and it is impractical or undesirable to build a single table with all possible attributes, the alternative is to build multiple versions of the dimension table. One version will contain only the attributes shared by all subtypes and contain a row for each instance, regardless of type. This table is known as the core dimension table. The remaining versions each correspond to a single type. They contain the core attributes, plus any type-specific attributes. These are known as custom dimension tables. Figure 13-2 illustrates core and custom product dimension tables for a seller of books, music, and magazine subscriptions. The core dimension table contains attributes common to

List Three Features of the Java Programming Language That Can Be Used to Create an Internationalizable/Localizable Application

Core Dimension Custom Dimensions BOOK_ PRODUCT product_key sku name publisher product_type author genre length binding isbn_number dimensions weight illustrations publication_date . . . POPULAR_MUSIC_ PRODUCT product_key sku name publisher product_type artist genre playing_time format label packaging number_discs bonus_tracks limited_edition live_flag ep_flag . . . SUBSCRIPTION_ PRODUCT product_key sku name publisher product_type subscription_term number_issues publication_category frequency cover_price annual_cover_price language . . . Common attributes

3. What statement is true with respect to Unicode A. Unicode provides a standard encoding for the character sets of different languages. B. Unicode is an encoding that is dependent of the platform, program, or language used to access said data. C. Unicode provides a non-unique number for every character. D. The Unicode Standard has not been adopted by Microsoft. 4. What statement is true with respect to a ResourceBundle A. A ResourceBundle allows you to have various lookup tables based on the locale (language/ country) upon which the server but not the client is running. B. Resource bundles support a fourth-level descriptor beyond language/country variants, such that you can have customized messages for people in the northern and people in the southern part of a country, for example.

Permissions are managed using Grant, Deny, and Revoke statements in the usual manner. A client application (or a middle-tier object) should first log in to SQL Server in the usual manner and then activate the application role using sp_setapprole:

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