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This chapter covered the use of derived schemas to enhance query performance or reduce the complexity of report creation Key lessons included the following: A single schema design can rarely meet 100 percent of the reporting needs with maximum efficiency For a minority of business questions, an alternative format may be optimal A derived schema takes data from the original dimensional schema and restructures it for specific kinds of use A derived schema may be implemented as a star or as a cube Supplementing a star containing granular data with cubes derived for reporting purposes is a powerful combination Snapshots may be derived from transactions, although they are not always When derived, they greatly simplify the process of determining the cumulative effects of individual transactions on status measurements like levels or balances Accumulating snapshots are usually derived from one or more stars.

With the arrival of Java 5, one of the most significant changes in authorization is in the use of annotations. It is now possible to define custom annotations and

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Each row correlates multiple activities, greatly simplifying the otherwise complex process of studying the time spent at various process stages Core fact tables are often derived from type-specific custom fact tables The core fact table makes it possible to conduct analysis across all types, without the need to perform unions Merged fact tables precompute the results of drilling across two or more fact tables This makes cross-process comparison easier and faster, and is especially helpful when existing tools cannot be used to drill across Pivoted fact tables transpose facts organized row-wise into multiple facts in a single row, or vice versa There may not be a large performance benefit, but there may be value in the reduced complexity of report development Sliced fact tables take subsets of the original star, normally defined based on a single attribute value.

then apply these annotations to fields, methods, classes, etc. Annotations do not directly affect program semantics, but compile or runtime tools can examine them to generate additional constructs (for example, deployment descriptors) or implement required runtime behavior (for example, EJB component s state).

Views based on multiple instances of the same table are called partitioned views. A horizontal partitioning occurs when different subsets of records are stored in different table instances (as in the preceding example). It is also possible to do vertical partitioning to put columns in separate tables based on the frequency with which they are needed. On wide tables, each record occupies a substantial amount of space. Since each data page is limited to 8KB, a smaller number of records can fit onto a single data page. As a result, the number of IO operations needed to access a large number of records is much higher. To reduce it, we can put frequently used fields in one table and other fields in a second table. The tables will have a one-to-one relationship. In the following example, the InventorySum table has been split into InventoryPrim and InventorySec tables:

These tables have a smaller size and scope but do not sacrifice detail They may be useful in departmental, distributed, or mobile applications, or as the basis of a role-based security architecture Set operation fact tables precompute the results of comparing two fact tables using subqueries or union, intersect, or minus operations They can be significant timesavers, and dramatically simplify the necessary report SQL Remember that derived tables do not achieve their advantages for free The cost is an increased burden for the loading and management of warehouse data structures Do the heavy lifting up front is an admirable mantra but must be balanced with the business benefit of derived structures This balancing act will be discussed in 18, How to Design and Document a Dimensional Model..

Using Java 5 Annotations with Web components With Java version 5 and beyond, in addition to the declarative and programmatic security specifications mentioned already, application developers can now programmatically set up the security for web components by using Java s annotation facility. If a value is specified in an annotation and also in the deployment descriptor, the value in the deployment descriptor takes precedence. The granularity of overriding is on the per-method basis. In addition, the web-app element of the web application deployment descriptor can now contain a full attribute. This full attribute states whether deployment descriptor is complete, or whether the class files of the web archive (WAR) file should be examined for annotations that specify deployment information. If the full attribute is missing or set to false, the deployment descriptors examine the class files of applications for annotations that specify deployment information. If the full attribute is set to true, the deployment descriptor ignores any servlet annotations present in the class files. This feature allows the application deployer to customize or override the values specified in annotations. Web application class files can specify the following annotations:

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