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Author Letz, C. ♦ Henn, E.T. ♦ Vossen, G.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2002
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data ♦ Technology ♦ Engineering & allied operations
Subject Keyword Data warehouses ♦ Investments ♦ Databases ♦ Data analysis ♦ Data engineering
Abstract Data warehouses present a powerful framework for storing and analyzing huge amounts of data. In this context analyses focus on data that has been gathered over long periods of time, often between one and five years. A data warehouse can therefore be regarded as a specialized historical database. However not only the data kept in a data warehouse has to be seen in a temporal context, but also the fact that dimension data may undergo changes during such a time period needs to be taken into consideration. In this paper we focus on update operations on dimensions and establish a notion of consistency for guiding such operations. We devise algorithms for executing update operations that can be shown to preserve consistency, and we study their time complexity.
Description Author affiliation: IS Dept., Univ of Muenster, Germany (Letz, C.)
ISBN 0769516386
ISSN 10988068
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2002-07-17
Publisher Place Canada
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 284.96 kB
Page Count 9
Starting Page 224
Ending Page 232

Source: IEEE Xplore Digital Library