A study of multidimensional modeling approaches for data warehouse

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...

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Main Authors: Mat Yusof, Sharmila, Sidi, Fatimah, Ibrahim, Hamidah, Affendey, Lilly Suriani
Format: Conference or Workshop Item
Language:English
Published: AIP Publishing 2016
Online Access:http://psasir.upm.edu.my/id/eprint/57414/1/A%20study%20of%20multidimensional%20modeling%20approaches%20for%20data%20warehouse.pdf
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author Mat Yusof, Sharmila
Sidi, Fatimah
Ibrahim, Hamidah
Affendey, Lilly Suriani
author_facet Mat Yusof, Sharmila
Sidi, Fatimah
Ibrahim, Hamidah
Affendey, Lilly Suriani
author_sort Mat Yusof, Sharmila
collection UPM
description 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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spelling upm.eprints-574142017-09-27T09:20:19Z http://psasir.upm.edu.my/id/eprint/57414/ A study of multidimensional modeling approaches for data warehouse Mat Yusof, Sharmila Sidi, Fatimah Ibrahim, Hamidah Affendey, Lilly Suriani 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. AIP Publishing 2016 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/57414/1/A%20study%20of%20multidimensional%20modeling%20approaches%20for%20data%20warehouse.pdf 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). 10.1063/1.4960903
spellingShingle Mat Yusof, Sharmila
Sidi, Fatimah
Ibrahim, Hamidah
Affendey, Lilly Suriani
A study of multidimensional modeling approaches for data warehouse
title A study of multidimensional modeling approaches for data warehouse
title_full A study of multidimensional modeling approaches for data warehouse
title_fullStr A study of multidimensional modeling approaches for data warehouse
title_full_unstemmed A study of multidimensional modeling approaches for data warehouse
title_short A study of multidimensional modeling approaches for data warehouse
title_sort study of multidimensional modeling approaches for data warehouse
url http://psasir.upm.edu.my/id/eprint/57414/1/A%20study%20of%20multidimensional%20modeling%20approaches%20for%20data%20warehouse.pdf
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