A study of multidimensional modeling approaches for data warehouse

Citation

Mat Yusof, Sharmila and Sidi, Fatimah and Ibrahim, Hamidah and Affendey, Lilly Suriani (2016) A study of multidimensional modeling approaches for data warehouse. In: 2016 International Conference on Applied Science and Technology (ICAST 2016), 11-13 Apr. 2016, Kedah, Malaysia. (pp. 1-6).

Abstract

Data warehouse system is used to support the process of organizational decision making. Hence, the system must extract and integrate information from heterogeneous data sources in order to uncover relevant knowledge suitable for decision making process. However, the development of data warehouse is a difficult and complex process especially in its conceptual design (multidimensional modeling). Thus, there have been various approaches proposed to overcome the difficulty. This study surveys and compares the approaches of multidimensional modeling and highlights the issues, trend and solution proposed to date. The contribution is on the state of the art of the multidimensional modeling design.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1063/1.4960903
Publisher:	AIP Publishing
Keywords:	Data warehouse; Multidimensional modeling
Depositing User:	Nabilah Mustapa
Date Deposited:	27 Sep 2017 09:20
Last Modified:	27 Sep 2017 09:20
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1063/1.4960903
URI:	http://psasir.upm.edu.my/id/eprint/57414
Statistic Details:	View Download Statistic

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