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Encyclopedia of Database Systems pp 916–927Cite as

Data Warehousing Systems: Foundations and Architectures

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Definition

A data warehouse (DW) is an integrated repository of data for supporting decision-making applications of an enterprise. The most widely cited definition of a DW is from Inmon [3] who states that “a data warehouse is a subject-oriented, integrated, nonvolatile, and time-variant collection of data in support of management’s decisions.”

Historical Background

DW systems have evolved from the needs of decision-making based on integrated data, rather than an individual data source. DW systems address the two primary needs of enterprises: data integration and decision support environments. During the 1980s, relational database technologies became popular. Many organizations built their mission-critical database systems using the relational database technologies. This trend proliferated many independent relational database systems in an enterprise. For example, different business lines in an enterprise built separate database systems at different geographical locations. These...

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Recommended Reading

  1. Adamson C, Venerable M. Data warehouse design solutions. Hoboken: Wiley; 1998.

    Google Scholar 

  2. Cunningham C, Song I-Y, Chen PP. Data warehouse design for customer relationship management. J Database Manag. 2006;17(2):62–84.

    Article  Google Scholar 

  3. Inmon WH. Building the data warehouse. 3rd ed. Hoboken: Wiley; 2002.

    Google Scholar 

  4. Jones ME, Song I-Y. Dimensional modeling: identification, classification, and evaluation of patterns. Decis Support Syst. 2008;45(1):59–76.

    Article  Google Scholar 

  5. Kimball R, Merz R. The data webhouse toolkit: building the web-enabled data warehouse. Hoboken: Wiley; 2000.

    Google Scholar 

  6. Kimball R, Ross M. The data warehouse toolkit: the complete guide to dimensional modeling. 2nd ed. Hoboken: Wiley; 2002.

    Google Scholar 

  7. Kimball R, Ross M, Thorntwaite W, Munday J, Becker B. The data warehouse lifecycle toolkit. 2nd ed. Hoboken: Wiley; 2008.

    Google Scholar 

  8. Malinowski E, Zimanyi E. Advanced data warehouse design: from conventional to spatial and temporal applications. Berlin: Springer; 2008.

    MATH  Google Scholar 

  9. Poole J, Chang D, Tolbert D, Mellor D. Common warehouse metamodel: an introduction to the standard for data warehouse integration. Hoboken: Wiley; 2002.

    Google Scholar 

  10. Sen A, Sinha AP. A comparison of data warehousing methodologies. Commun ACM. 2005;48(3):79–84.

    Article  Google Scholar 

  11. Todman C. Designing a data warehouse supporting customer relationship management. Upper Saddle River: Prentice Hall; 2000.

    MATH  Google Scholar 

  12. Watson HJ, Ariyachandra T. Data warehouse architectures: factors in the selection, decision, and the success of the architectures”. 2005. From http://www.terry.uga.edu/~hwatson/DW_Architecture_Report.pdf

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Author information

Authors and Affiliations

  1. College of Computing and Informatics, Drexel University, Philadelphia, PA, USA

    Il-Yeol Song

Authors
  1. Il-Yeol Song
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Corresponding author

Correspondence to Il-Yeol Song .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Department of Computer Science, Aalborg University, Aalborg, Denmark

    Torben Bach Pedersen

  2. DISI, Univ. of Bologna, Bologna, Italy

    Stefano Rizzi

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Song, IY. (2018). Data Warehousing Systems: Foundations and Architectures. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_121

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