One can define data warehousing as a central repository related to data extraction from operational systems and ready to made available as historical snapshots for ad-hoc queries and scheduled reporting. It suits well for all or significant parts of the data that an enterprise’s various business systems collect. Data from various online transaction processing (OLTP) applications and other sources is selectively extracted and organized on the data warehouse database for use by analytical applications and user queries. Data warehousing emphasizes the capture of data from diverse sources for useful analysis and access, but does not generally start from the point-of-view of the end user or knowledge worker who may need access to specialized, sometimes local databases. To be very important the historical snapshots stored in the Data Warehouse are periodically refreshed with data from the operational databases.
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Improved end-user access to a wide variety of data
Additional documentation of the data
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Providing a place to combine related data from separate sources
Creation of a computing infrastructure that can support changes in computer systems and business structures
Empowering end-users to perform any level of ad-hoc queries or reports without impacting the performance of the operational systems
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