DESIGNING LARGE VARIABLES IN MULTIDIMENSIONAL DATABASES
Vicent Castellar-Busóhttp://www.uv.es/~buso/
Doctor en Matemáticas por la Universidad de Valencia
Manuel de la Herrán Gascón http://www.eside.deusto.es/profesores/mherran/
Ingeniero Informático por la Universidad de Deusto

Abstract

Two problems are presented which relate to work with large multidimensional variables. The first is lack of disk space, and the second is the necessity for faster processes for calculating aggregate values. A variety of solutions are proposed, which can be applied to design time in a data base containing large multidimensional variables.

Key words

Multidimensional, OLAP, R-OLAP, M-OLAP, Datamart, Datawarehouse, EIS, DSS, large multidimensional variables