By John Poole, Dan Chang, Douglas Tolbert, David Mellor
The reputable advisor to programming with the progressive data-sharing technologyThe universal Warehouse Metamodel (CWM) is the hot OMG commonplace that makes the sharing of information seamless. The CWM average improvement crew 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 every one CWM part suits into present database and knowledge warehouse architectures, the authors offer professional information on tips on how to plan for, enforce, and install CWM technologies.Companion website good points updates on CWM applied sciences, descriptions of instruments, and hyperlinks to seller websites.
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Extra info for Common warehouse metamodel: an introduction to the standard for data warehouse integration
Why should software vendors invest time and effort in enabling their products to use CWM? Even more importantly, why should customers invest in CWM-enabled products or demand that their vendors include CWM support in their product offerings? Like everything else in the computer industry, an economic underpinning exists to technology efforts like CWM. And, the underlying economic justification is ultimately based on the value that a given technology provides to customers of computing systems and software products.
More often than not, constructing an ISC and integrating its various component tools is a difficult and costly undertaking. 2 The business insight pyramid. 15 16 Common Warehouse Metamodel investments in specific areas, and they find it economically unfeasible (and generally unnecessary) to pursue all aspects of the manufacturing-distribution supply chain. Manufacturers buy finished or partially finished products from other manufacturers or suppliers and combine them to produce new items that satisfy their customers’ needs.
Introducing the Model-Driven Solution Approach In the previous sections, we provided a detailed description of the meta data integration problem in the context of data warehousing and business analysis. We used the metaphor of an information supply chain to describe how data flows between data warehousing and business analysis tools and explained why meta data integration is a key prerequisite to ensuring the effectiveness of this data flow. We also explained why achieving meta data integration between software tools is a difficult and costly undertaking, largely due to the dissimilar representations of tool-specific meta data.