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Data Warehousing
DATA WAREHOUSING :
Data Warehouse Architecture (DWA) is a way of representing the overall structure of data, communication, processing and presentation that exists for end-user computing within the enterprise. The architecture is made up of a number of interconnected parts:
Operational systems process data to support critical operational needs.
In order to do that, operational databases have been historically created to provide an efficient processing structure for a relatively small number of well-defined business transactions. However, because of the limited focus of operational systems, the databases designed to support operational systems have difficulty accessing the data for other management or informational purposes.
This difficulty in accessing operational data is amplified by the fact that many operational systems are often 10 to 15 years old. The age of some of these systems means that the data access technology available to obtain operational data is itself dated.
Clearly, the goal of data warehousing is to free the information that is locked up in the operational databases and to mix it with information from other, often external, sources of data. Increasingly, large organizations are acquiring additional data from outside databases. This information includes demographic, econometric, competitive and purchasing trends.
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