Compressing Data Cube in Parallel OLAP Systems

This paper proposes an efficient algorithm to compress the cubes in the progress of the parallel data cube generation. This low overhead compression mechanism provides block-by-block and record-by-record compression by using tuple difference coding techniques, thereby maximizing the compression rati...

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Bibliographic Details
Main Authors: Frank Dehne, Todd Eavis, Boyong Liang
Format: Article
Language:English
Published: Ubiquity Press 2007-03-01
Series:Data Science Journal
Subjects:
Online Access:http://datascience.codata.org/articles/406