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Running Head: DATA WAREHOUSE1Data WarehouseNameInstitutionCourse CodeDATA WAREHOUSE2IntroductionModern institutions, organizations and enterprises depend on knowledge-basedmanagement systems. The knowledge in the systems is obtained from data analysis. A datawarehouse consists of time-varying and integrated collection of data originating fromoperational data. Data warehouses are built to integrate autonomous, heterogenic anddistributed data within an organization.For the whole environment of a data warehouse architecture to be functional, it shouldinclude a total of seven components. The components include the data warehouse database,tools to source, acquire, clean up and transform data, the Metadata, access tools, the datamarts, the data warehouse organization and management, and lastly the system to deliverinformation.Data warehouse database is always implemented on the technology of the relationaldatabase management system. The approaches of a data warehouse database are equivalent torelational database management designs for scalability and multidimensional databases thatare based on exclusive database technology.The sourcing, acquisition, cleanup and transformation tools perform thesummarization, conversions, structural changes, fundamental changes and condensationrequired to process data into information to be used in decision making. These tools producecontrol statements and programs such as UNIX scripts. In addition, they also maintain ...


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