Versioning approach for data warehouse schema

A Data warehouse (DW) is a repository designed for querying and analyzing data. The main aims of a DW is to provide the most accurate and historically correct information to users to support the business analysis and decision-making. The input to DW is dependent on its business requirements and data...

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Main Authors: Mat Yusof, Sharmila, Sidi, Fatimah, Affendey, Lilly Suriani, Ibrahim, Hamidah, Ishak, Iskandar, A. Jabar, Marzanah
Format: Conference or Workshop Item
Language:English
Published: Database Technologies and Applications Research Group (DbTA), Faculty of Computer Science and Information Technology, Universiti Putra Malaysia 2019
Online Access:http://psasir.upm.edu.my/id/eprint/75515/
http://psasir.upm.edu.my/id/eprint/75515/1/ISICTMA2019-3.pdf
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author Mat Yusof, Sharmila
Sidi, Fatimah
Affendey, Lilly Suriani
Ibrahim, Hamidah
Ishak, Iskandar
A. Jabar, Marzanah
author_facet Mat Yusof, Sharmila
Sidi, Fatimah
Affendey, Lilly Suriani
Ibrahim, Hamidah
Ishak, Iskandar
A. Jabar, Marzanah
author_sort Mat Yusof, Sharmila
building UPM Institutional Repository
collection Online Access
description A Data warehouse (DW) is a repository designed for querying and analyzing data. The main aims of a DW is to provide the most accurate and historically correct information to users to support the business analysis and decision-making. The input to DW is dependent on its business requirements and data sources. With the nature of dynamic business requirements and autonomous data sources, the requirement of the DW is inevitably changes over times. As the DW is very critical for organization’s business analysis and strategic decision-making, the dissemination of the changes is crucial to the DW system in order to supply a precise and reliable information. Thus, the objective of this paper is to present an approach to cater for DW change management problem. We apply the approach on TPC-H benchmark data to illustrate its practicality. The application shows that the proposed approach could assist designer to manage the DW schema changes.
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format Conference or Workshop Item
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T12:01:52Z
publishDate 2019
publisher Database Technologies and Applications Research Group (DbTA), Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
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spelling upm-755152019-10-07T07:37:04Z http://psasir.upm.edu.my/id/eprint/75515/ Versioning approach for data warehouse schema Mat Yusof, Sharmila Sidi, Fatimah Affendey, Lilly Suriani Ibrahim, Hamidah Ishak, Iskandar A. Jabar, Marzanah A Data warehouse (DW) is a repository designed for querying and analyzing data. The main aims of a DW is to provide the most accurate and historically correct information to users to support the business analysis and decision-making. The input to DW is dependent on its business requirements and data sources. With the nature of dynamic business requirements and autonomous data sources, the requirement of the DW is inevitably changes over times. As the DW is very critical for organization’s business analysis and strategic decision-making, the dissemination of the changes is crucial to the DW system in order to supply a precise and reliable information. Thus, the objective of this paper is to present an approach to cater for DW change management problem. We apply the approach on TPC-H benchmark data to illustrate its practicality. The application shows that the proposed approach could assist designer to manage the DW schema changes. Database Technologies and Applications Research Group (DbTA), Faculty of Computer Science and Information Technology, Universiti Putra Malaysia 2019 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/75515/1/ISICTMA2019-3.pdf Mat Yusof, Sharmila and Sidi, Fatimah and Affendey, Lilly Suriani and Ibrahim, Hamidah and Ishak, Iskandar and A. Jabar, Marzanah (2019) Versioning approach for data warehouse schema. In: International Symposium on ICT Management and Administration (ISICTMA2019), 31 July-2 Aug. 2019, Putrajaya Marriott Hotel, Malaysia. (pp. 16-21).
spellingShingle Mat Yusof, Sharmila
Sidi, Fatimah
Affendey, Lilly Suriani
Ibrahim, Hamidah
Ishak, Iskandar
A. Jabar, Marzanah
Versioning approach for data warehouse schema
title Versioning approach for data warehouse schema
title_full Versioning approach for data warehouse schema
title_fullStr Versioning approach for data warehouse schema
title_full_unstemmed Versioning approach for data warehouse schema
title_short Versioning approach for data warehouse schema
title_sort versioning approach for data warehouse schema
url http://psasir.upm.edu.my/id/eprint/75515/
http://psasir.upm.edu.my/id/eprint/75515/1/ISICTMA2019-3.pdf