By John Poole, Dan Chang, Douglas Tolbert, David Mellor

ISBN-10: 0471200522

ISBN-13: 9780471200529

The respectable advisor to programming with the progressive data-sharing technologyThe universal Warehouse Metamodel (CWM) is the recent OMG common that makes the sharing of knowledge seamless. The CWM usual improvement group presents builders with a whole assessment of what CWM is and the way it really works. After acquainting readers with the CWM structure and the way each one CWM part suits into latest database and knowledge warehouse architectures, the authors supply professional counsel on the best way to plan for, enforce, and set up CWM technologies.Companion site gains updates on CWM applied sciences, descriptions of instruments, and hyperlinks to seller websites.

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Extra resources for Common warehouse metamodel: an introduction to the standard for data warehouse integration

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To effectively implement an ISC, the suite of tools must be fully capable of participating in this data interchange. Each tool must have an understanding of the nature of the data it is to consume: where it came from; what its various fields mean; what transformations it needs to perform on the data; where the results need to be stored; or what target processes require these results; and so on. The Value Proposition for CWM In Chapter 1, we informally defined meta data as data, information about data, or more precisely as descriptions of information structures.

The model-based solution clearly reduces the costs and complexities of building point-to-point meta data architectures, enhancing the overall ROI of the information supply chain or data warehouse effort. The use of a common metamodel eliminates the need to construct pair-wise meta data bridges and allows for a complete semantic equivalence (Gartner, 2000b) at the meta data level between the various products and tools comprising a typical ISC. 8 shows a model-based, point-to-point meta data integration architecture.

The World Wide Web Consortium’s (W3C) eXtensible Markup Language (XML) is currently the language of choice for interchanging data over the Web and in any inherently loosely coupled, distributed, asynchronous environment. XML documents are largely self-describing. XML allows for the definition of custom tags that are used to define elements within an XML document. In the world of model-based meta data integration, XML is similarly the meta data interchange medium of choice. Custom XML tags represent concepts defined by the metamodel (once again, a set of formal mapping rules are employed to associate metamodel elements with specific tags).

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Common warehouse metamodel: an introduction to the standard for data warehouse integration by John Poole, Dan Chang, Douglas Tolbert, David Mellor

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