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Encyclopedia of Database Systems pp 878–884Cite as

Data Warehouse Life Cycle and Design

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Synonyms

Data warehouse design methodology

Definition

The term data warehouse life-cycleis used to indicate the phases (and their relationships) a data warehouse system goes through between when it is conceived and when it is no longer available for use. Apart from the type of software, life cycles typically include the following phases: requirement analysis, design (including modeling), construction, testing, deployment, operation, maintenance, and retirement. On the other hand, different life cycles differ in the relevance and priority with which the phases are carried out, which can vary according to the implementation constraints (i.e., economic constraints, time constraints, etc.) and the software specificities and complexity. In particular, the specificities in the data warehouse life-cycle derive from the presence of the operational database that feeds the system and by the extent of this kind of system that must be considered in order to keep the cost and the complexity of...

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Author information

Authors and Affiliations

  1. DISI – University of Bologna, Bologna, Italy

    Matteo Golfarelli

Authors
  1. Matteo Golfarelli
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Corresponding author

Correspondence to Matteo Golfarelli .

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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Golfarelli, M. (2018). Data Warehouse Life Cycle and Design. 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_117

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