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The most important aspect of the data warehouse environment is the fact that the data is integrated Integration appears in various ways, such as meta-data, naming conventions, variables, and data formats Compare the
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level of integration with that of the applications environment, and the differences are startling Applications designers have made many separate choices in building applications The style and choice of design appear in myriad ways These differences have resulted in the lack of integration in the applications environment However, in a data warehouse environment, the data are integrated regardless of their original sources Because of its need for consistency and integration, XML is a promising enabler for data warehouse development
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The real world revolves around the flow of data and information such as competitive information, inventory, financials, and medical information Corporate warehouses focus on subjects such as customer activity, vendor information, and product data The organization in subject areas influences the design, development, and implementation of the data in the data warehouse Application developers are involved with database design and process design Data warehouse developers concentrate mainly on data modeling and database design Data warehouse developers have little functional interest in process design The difference between a data warehouse and an operational database is that a data warehouse uses only decisional data that is germane to the decision support systems Operational applications and databases are more transaction oriented, focusing on the immediate requirements In addition, operational data is interrelated only in the current contexts, while data warehouse data may be related over a long span of time Except for these functional differences, operational systems and data warehouse systems are similar Indeed, both types of systems can be represented by a set of XML documents with equal ease
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The data warehouse contains data from a range of times As mentioned above, this is a difference between operational and data warehouse systems Operational systems have current data, and data warehouse systems have time-spanned data Thus, data warehouses are called time variant In addition, because of this time variance, data warehouse data are not updated but
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collected continually XML supports time variance in data warehouses because it can be used as a common format for representing legacy, current, and future data
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Because data are never updated, they do not change or expire Therefore, the data in the data warehouse tend to be fairly stable and nonvolatile The characteristics of a data warehouse subject orientation of design, integration of data within the data warehouse, time variance, and simplicity of data management all lead to an environment that is very different from the classical operational environment The source of nearly all data warehouse data is the operational environment It is a temptation to think that there is massive redundancy of data between the two environments Indeed, the first impression many people draw is that of great data redundancy between the operational environment and the data warehouse environment Such an understanding is superficial and demonstrates a lack of understanding as to what is occurring in the data warehouse In fact redundancy of data between the operational environment and the data warehouse environment is minimal
XML Advantages
Conventional data warehouses are expensive and complex client/server applications that require technical expertise to maintain and special training to query The Web and XML can unlock the treasures buried deep in the warehouses to provide access to corporate intellectual capital in ways never before possible XML can also help to recover lost nuggets of knowledge buried within the mountains of corporate documents, paperwork, and manuals And, considering the rate of accelerating change inherent with any Internet-related technology, XML-based data warehouses and knowledge management will quickly become the standard across most industries and will be considered the cost of doing business, just like having a Web site or a FAX With XML, a corporation can define one access point for all enterprise information sources, including databases, documents, reports, manuals, applications, and query tools Broad intranet access to corporate data and information resources is just the beginning Extended access to industry partners, suppliers, and customers (with reciprocal agreements) will trigger
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