Multidimensional Data Model for Data Warehouses

Velinov, Goran and Kon-Popovska, Margita (2002) Multidimensional Data Model for Data Warehouses. In: Proceedings of the Third Conference on Informatics and Information Technology. Institute of Informatics, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 70-81. ISBN 9989-668-36-1

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Abstract

Data Warehouses (DW) and Online Analytical Processing (OLAP) are essential elements of Decision Support Systems (DSS), they enable business decision makers to creatively approach, analyze and understand business problems. OLAP data is frequently organized in the form of multidimensional data cubes each of which is used to examine a set of data values, called facts. Each fact is combination of multiple dimensions with multiple levels per dimension. The goal of this paper is the introduction of a multidimensional data model. The model is able to represent and capture natural hierarchical relationships among members (attributes) within a dimension. Moreover the data model is able to represent the relationships between dimension members and facts by mean of cube cells.

Item Type: Book Section
Uncontrolled Keywords: data warehouses, OLAP, multidimensional data model, data cube
Subjects: International Conference on Informatics and Information Technologies > Artificial Intelligence
International Conference on Informatics and Information Technologies > Intelligent Systems
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11116

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