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Temporal Structures in Data Warehousing

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DataWarehousing and Knowledge Discovery (DaWaK 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1676))

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Abstract

Following the paradigm of on-line analytical processing (OLAP) every representation of business objects in management support systems is multidimensional. Dynamic changes of business structures like consolidations have to be modeled in the data warehouse framework. For reasons of consistency in analytical applications it is necessary to add temporal components to the data model. Objects and relations between objects will be provided with time stamps corresponding to known methods of temporal data storage. This enhancement of the OLAP-approach allows even after changes of structural data (dimensions) an appropriate comparative analysis between arbitrary periods. But any access to multidimensional cubes make it necessary to evaluate a meta cube.

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References

  1. Chamoni, Peter; Gluchowski, Peter: Analytische Informationssysteme-Einordnung und Ueberblick. In: Chamoni, Peter; Gluchowski, Peter (ed.): Analytische Informationssysteme. Data Warehouse, On-Line Analytical Processing, Data Mining. Berlin 1998, pp. 3–25.

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  3. Jensen, Christian et al.: A consensus glossary of temporal database concepts-February 1998 Version. In: Etzion, Opher et al. (ed.): Temporal databases: research and practice. Berlin, Heidelberg 1998., p. 367–405.

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Author information

Authors and Affiliations

  1. FG Wirtschaftsinformatik und Operations Research, Gerhard-Mercator-Universität GH Duisburg, Lotharstr. 63 LF 221, 47048, Duisburg, Germany

    Peter Chamoni & Steffen Stock

Authors
  1. Peter Chamoni
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  2. Steffen Stock
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Editor information

Editors and Affiliations

  1. School of Computer and Information Science, University of South Australia, The Levels, Adelaide, Australia, 05

    Mukesh Mohania

  2. IFS, Technical University of Vienna, Resselgasse 3, A-1040, Vienna, Austria

    A Min Tjoa

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© 1999 Springer-Verlag Berlin Heidelberg

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Chamoni, P., Stock, S. (1999). Temporal Structures in Data Warehousing. In: Mohania, M., Tjoa, A.M. (eds) DataWarehousing and Knowledge Discovery. DaWaK 1999. Lecture Notes in Computer Science, vol 1676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48298-9_37

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  • DOI: https://doi.org/10.1007/3-540-48298-9_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66458-1

  • Online ISBN: 978-3-540-48298-7

  • eBook Packages: Springer Book Archive

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