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...
Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English |
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AIP Publishing
2016
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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. |
first_indexed | 2024-03-06T09:29:19Z |
format | Conference or Workshop Item |
id | upm.eprints-57414 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T09:29:19Z |
publishDate | 2016 |
publisher | AIP Publishing |
record_format | dspace |
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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