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plans, order facts to study actuals, or both to drill across. Unfortunately, many tools are unable to comprehend the possibility that there are multiple possible places to find month (or quarter, or year.) When a business intelligence tool is unable to identify cases where conformed attributes, such as month, can appear in multiple tables, it will not be able to drill across automatically. In this case, drilling across may once again be left to developers who manually construct queries. Alternatively, a separate merged fact table can be provided, eliminating the need to drill across. TIP Conformed dimensions may result in a single logical attribute appearing in multiple physical locations. Some reporting tools can understand this, and generate SQL that fetches the attribute from the appropriate location. If a tool does not have this ability, drilling across will be a manual process. A merged fact table can be added to obviate the need for manual drill-across reports. Reporting tools that cannot identify conformed dimensions may be able to automatically drill across in this situation if the schema is designed as a snowflake, rather than a star. This approach, depicted in Figure 16-6, ensures that each attribute is stored in a single location.

The concept of declarative environments is extremely popular right now, especially when it comes to business rules processing These applications enable developers to declare a set of rules that are then submitted to a rules engine, which will match behavior (actions) to rules for each piece of data they examine XML technology can also provide developers with the ability to develop and process their own action (scripting) languages XML is a meta-language; it can be used to create any other language, including a scripting language This is a powerful use of XML technology that the industry is just starting to explore..

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An SQL generator that cannot comprehend conformed rollups like day and month may be able to drill across in this scenario. If the primary reporting tool in a particular environment cannot drill across conformed rollups, as in Figure 16-5, but can with a snowflake, as in Figure 16-6, then the warehouse team might seriously consider relaxing the general guideline against snowflaking. Blind adherence to a principle simply limits the value of the solution. In this limited case, the drill-across benefit may outweigh the disadvantages of snowflakes as discussed in 7. If there are no other options, this may be a very good reason to snowflake. This decision should be made carefully. Once the solution is built, it will be hard to reverse. If the reporting tool is ever replaced, significant rework will be required to convert to a star configuration. You may wind up living with drawbacks of snowflakes indefinitely, including potential impact on query performance, defeat of a star-join optimizer, the need for additional key management, and the ripple effect of slow changes through the snowflaked dimension.

Since 1998, early adopters of the XML specification have been using Java technology to parse XML and build XML applications for a variety of reasons. Java technology s portability provides developers with an open and accessible market for sharing their work, and XML data portability provides the means to build declarative, reusable application components. Development efforts within the XML community clearly illustrate this benefit. In contrast to many other technology communities, those building on XML technology have always been driven by the need to remain open and facilitate sharing. Java technology has enabled these communities to share markup languages as well as code to process markup languages across most major hardware and operating system platforms.

The Java Platform Standard Extension for XML technology proposes to provide basic XML functionality to read, manipulate, and generate text. This functionality will conform to the XML 1.0 specification and will leverage existing efforts around Java technology APIs for XML technology, including the W3C DOM Level 1 Core Recommendation and the SAX programming interface version 1.0. The intent in supporting an XML technology standard extension is to

Semi-additive facts pose a different kind of challenge for business intelligence deployments. It is usually impossible to prevent a query generator from aggregating them across the nonadditive dimension, producing incorrect results. For tools that can prevent this, another problem emerges: the rare case where this behavior is desired will also be prevented. The best solution to this problem calls for limiting full access to trained developers and power users. A less functional but safe version of the star can be made available to novice users. They will be able to accomplish less, but at least they will not be making mistakes that could have serious consequences.

The meaning of the xsd:sequence element is that both elements must be present in the sequence (order) in which they are declared. Complex types can be built from other simple and complex types:

n Provide a base from which to add XML features in the future n Provide a standard for the Java platform to ensure compatible and consistent

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