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A data warehouse (DW) is an integrated repository of data put into a form that can be easily understood, interpreted, and analyzed by the people who need to use it to make decisions. The most widely cited definition of a DW is from Inmon [2] who states that “a data warehouse is a subject-oriented, integrated, nonvolatile, and time-variant collection of data in support of management’s decisions.”
The subject-oriented property means that the data in a DW are organized around major entities of interests of an organization. Examples of subjects are customers, products, sales, and vendors. This property allows users of a DW to analyze each subject in depth for tactical and strategic decision-making.
The integratedproperty means that the data in a DW are integrated not only from all operational database systems but also some meta-data and other related external data. When data are moved from operational databases to a DW, they are extracted,...
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Chaudhuri S. and Dayal U. An overview of data warehousing and OLAP technology. ACM SIGMOD Rec., 26(1):65–74, 1997.
Inmon W.H. Building the Data Warehouse, 3rd edn. Wiley, New York, 2002.
Kimball R. and Ross M. The Data Warehouse Toolkit, 2nd edn. Wiley, New York, 2002.
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© 2009 Springer Science+Business Media, LLC
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Song, IY. (2009). Data Warehouse. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_882
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DOI: https://doi.org/10.1007/978-0-387-39940-9_882
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-35544-3
Online ISBN: 978-0-387-39940-9
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