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A Survey of Managing the Evolution of Data Warehouses

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  • Robert Wrembel

    (Poznan University of Technology - Institute of Computing Science, Poland)

Abstract

Methods of designing a data warehouse (DW) usually assume that its structure is static. In practice, however, a DW structure changes among others as the result of the evolution of external data sources and changes of the real world represented in a DW. The most advanced research approaches to this problem are based on temporal extensions and versioning techniques. This article surveys challenges in designing, building, and managing data warehouses whose structure and content evolve in time. The survey is based on the so-called Multiversion Data Warehouse (MVDW). In details, this article presents the following issues: the concept of the MVDW, a language for querying the MVDW, a framework for detecting changes in data sources, a structure for sharing data in the MVDW, index structures for indexing data in the MVDW.

Suggested Citation

  • Robert Wrembel, 2009. "A Survey of Managing the Evolution of Data Warehouses," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 5(2), pages 24-56, April.
    • Handle: RePEc:igg:jdwm00:v:5:y:2009:i:2:p:24-56
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    Cited by:

    1. Artur Wojciechowski, 2018. "ETL workflow reparation by means of case-based reasoning," Information Systems Frontiers, Springer, vol. 20(1), pages 21-43, February.
    2. Artur Wojciechowski, 0. "ETL workflow reparation by means of case-based reasoning," Information Systems Frontiers, Springer, vol. 0, pages 1-23.

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