Extendible arrays for statistical databases and OLAP applications

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationScientific and Statistical Database Management - Proceedings of the International Working Conference
PublisherIEEE
Pages108-117
StatePublished - 1996
Externally publishedYes

Conference

TitleProceedings of the 1996 8th International Conference on Scientific and Statistical Database Management
CityStockholm, Swed
Period18 - 20 June 1996

Abstract

On Line Analytical Processing (OLAP) is becoming increasingly important as today's organizations frequently make business decisions based on statistical analysis of their enterprise data. This data is multi-dimensional and is derived from transactional data using various levels of aggregation. As the business model changes frequently, the multidimensional arrays must be extended in terms of the value ranges of each dimension and even new dimensions. In this paper we propose new methods to deal with disk resident extendible arrays. A new index data structure for keeping track of the extensions is introduced, and a performance analysis is conducted for array extension and retrievals.

Citation Format(s)

Extendible arrays for statistical databases and OLAP applications. / Rotem, Doron; Zhao, J. Leon.

Scientific and Statistical Database Management - Proceedings of the International Working Conference. IEEE, 1996. p. 108-117.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review