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A Distributed Multidimensional Data Model of Data Warehouse

  • Conference paper
  • First Online:
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2639))

  • 759 Accesses

Abstract

The base fact tables of a data warehouse are generally of huge size. In order to shorten query response time and to improve maintenance performance, a base fact table is generally partitioned into multiple instances of same schema. To facilitate multidimensional data analysis, common methods are to create different multidimensional data models (MDDM) for different instances which may make it difficult to realize transparent multi-instance queries and maintenance. To resolve the problems, this paper proposes a logically integrated and physically distributed multidimensional data model.

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Author information

Authors and Affiliations

  1. School of Computer Science and Information Technology, Northern Jiaotong Unversity, 100044, Beijing, China

    Youfang Lin, Houkuan Huang & Hongsong Li

Authors
  1. Youfang Lin
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  2. Houkuan Huang
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  3. Hongsong Li
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Editor information

Editors and Affiliations

  1. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China

    Guoyin Wang

  2. Department of Computer Science, Nanchang University, Nanchang, 330029, P.R. China

    Qing Liu

  3. Department of Computer Science, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada

    Yiyu Yao

  4. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

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© 2003 Springer-Verlag Berlin Heidelberg

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Lin, Y., Huang, H., Li, H. (2003). A Distributed Multidimensional Data Model of Data Warehouse. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_112

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  • DOI: https://doi.org/10.1007/3-540-39205-X_112

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-14040-5

  • Online ISBN: 978-3-540-39205-7

  • eBook Packages: Springer Book Archive

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