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Indexing OLAP Data.

Sunita Sarawagi: Indexing OLAP Data. IEEE Data Eng. Bull. 20(1): 36-43(1997)
@article{DBLP:journals/debu/Sarawagi97,
  author    = {Sunita Sarawagi},
  title     = {Indexing OLAP Data},
  journal   = {IEEE Data Eng. Bull.},
  volume    = {20},
  number    = {1},
  year      = {1997},
  pages     = {36-43},
  ee        = {db/journals/debu/Sarawagi97.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

In this paper we discuss indexing methods for On-Line Analytical Processing (OLAP) databases. We start with a survey of existing indexing methods and discuss their advantages and shortcomings. We then propose extensions to conventional multidimensional indexing methods to make them more suitable for indexing OLAP data. We compare and contrast R-trees with bit-mapped indices which is the most popular choice for indexing OLAP data today.

Copyright © 1997 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


ACM SIGMOD Anthology

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Data Engineering Bulletin March 1997: Supporting On-line Analytical Processing (Daniel Barbara, ed.)
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