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Getting a handle on how the business intelligence tools of the target architecture generate queries is essential to ensuring attainment of the full breadth of analytic possibility afforded by a dimensional model. Capabilities of the BI tool may necessitate the addition of derived schemas or views. Balancing the need to guard against inaccurate results with the need for analytic flexibility may require setting up different semantic layers for novice users and expert developers. Some dimensional constructs will also call for different join configurations based on the question being asked. In each of these cases, standard features of dimensional designs may require adjustment in order to work well with the BI tool. Common examples include the presence of multiple stars, multi-table browses, semi-additive facts, and bridges. The way each of these is handled by the SQL-generating BI tool will influence the configuration of the BI tool as well as the schema itself.

For each attribute, the schema defines a name and a data type. You can see a list of acceptable data types in the appendix at the end of this book.

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The rule is (as it was with SQL), where possible, follow the standard to ensure portability or else mark the divergent parts of the application Components using a vendor-specific feature that falls outside of the JEE requirements can have limitations in the area of portability JEE specifications, however, spell out a base set of capabilities that a component can count on; hence, an application should be able to achieve a minimum cross-container portability An application developer expecting to deploy on a specific vendor implementation of the JEE platform should carefully engineer the design to implement the application across a wide range of operating systems and hardware architectures Sun Microsystems set a new standard for client-side computing with the JSE That experience, coupled with input from enterprise software vendors and developers, has led to a full support program for the JEE standard.

Learning to work with a business intelligence tool often takes place in the context of a schema that contains a single star. This is unfortunate, because many of the challenges for query generators stem from the presence of multiple stars. It is important to understand whether and how the tool will handle drill-across reports, queries that do not involve facts, and conformed dimensions. In addition, it is important to realize that most tools will not be able to generate queries when there is more than one way to compare two processes.

This program includes four specific deliverables: the CTS to validate the JEE brand, the JEE specification, a complete JEE reference implementation, and the JEE Sun BluePrint..

When a report requires combining information from more than one fact table, it is called a drill-across report. As you learned in 4, drilling across is a two-step process: 1. Aggregate facts from each star separately, grouping each result set by the same dimensions. 2. Merge the result sets together based on the common dimensions, using full outer join logic.

Based on input and feedback from a variety of enterprise technology leaders and the industry at large, the JEE specification is the beginning of a definition for a consistent yet flexible approach to implementing the platform. The JEE specification enumerates the APIs to be provided with all JEE platforms and includes full descriptions of the support levels expected for containers, clients, and components. It defines a standard that can either be built on a single system or deployed across several servers, each providing a specific set of JEE support services. Hopefully, this will mean that a wide range of existing enterprise systems in use throughout the industry will be able to support JEE.

ORDER_FACTS day_key product_key customer_key quantity_ordered order_dollars order_id order_line_num

The JEE Reference Implementation provides all the specified technologies, plus a range of sample applications, tools, and documentation. This basic implementation of the JEE standard is provided for two purposes: it provides system vendors with a standard by which to compare their implementations, and it provides application developers with a way to become familiar with JEE technology as they explore commercial products for full-scale deployment of JEE applications.

Provided as both documentation and complete examples, the Sun BluePrint Design Guidelines for JEE will describe and illustrate best practices for developing and deploying component-based enterprise applications in JEE. Topics explored will include component design and optimization, division of development labor, and allocation of technology resources.

<xsd:enumeration value="BC"/> <xsd:enumeration value="MA"/> <xsd:enumeration value="NB"/> ... </xsd:restriction> </xsd:simpleType>

SHIPMENT_FACTS DAY day_key_shipped day_key_ordered product_key customer_key shipper_key quantity_shipped cost_dollars revenue_dollars margin_dollars order_id order_line_num shipment_id shipment_line_num SHIPPER

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