Design and implementation of public data warehouse

There is a large amount of public data available that is spread across various sources. However, these public data is spread across different government bodies’ websites and repository platforms. Data must be collected and stored in a warehouse for utilization. Hence, this research is conducted to d...

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Main Authors: Nurul Farhanah, Isha, Nor Azuana, Ramli, Qistina Batrisyia, Azman Shah
Format: Conference or Workshop Item
Language:English
English
Published: AIP Publishing 2024
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42515/1/030009_1_5.0213934.pdf
http://umpir.ump.edu.my/id/eprint/42515/7/Design%20and%20Implementation%20of%20Public%20Data%20Warehouse%20-Intro.pdf
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author Nurul Farhanah, Isha
Nor Azuana, Ramli
Qistina Batrisyia, Azman Shah
author_facet Nurul Farhanah, Isha
Nor Azuana, Ramli
Qistina Batrisyia, Azman Shah
author_sort Nurul Farhanah, Isha
collection UMP
description There is a large amount of public data available that is spread across various sources. However, these public data is spread across different government bodies’ websites and repository platforms. Data must be collected and stored in a warehouse for utilization. Hence, this research is conducted to design and implement an appropriate data warehouse that is able to merge all public data from different government bodies and public websites in one data warehouse. This research started by locating relevant sources from various open data platforms such as Public Info Banjir and the Official Portal iDengue for community version 3.0. Then, significant data were collected such as river water level data, rainfall data, dengue locality cases and weather data. A public data warehouse was constructed using the bottom-up approach of the Kimball methodology. Following this, a galaxy schema model was identified to design the fact and dimension tables, which is then converted into a logical model. Finally, the structured data warehouse was developed. The public data warehouse, containing data such as water level, rainfall, dengue locality cases and weather data will be of great benefit to both government bodies and the public. For future study, the data warehouse enables the development of advanced analytics and predictive models, which helps to enhance decision-making and optimize infrastructure management in relation to flood mitigation efforts.
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spelling UMPir425152024-09-06T07:30:47Z http://umpir.ump.edu.my/id/eprint/42515/ Design and implementation of public data warehouse Nurul Farhanah, Isha Nor Azuana, Ramli Qistina Batrisyia, Azman Shah QA75 Electronic computers. Computer science There is a large amount of public data available that is spread across various sources. However, these public data is spread across different government bodies’ websites and repository platforms. Data must be collected and stored in a warehouse for utilization. Hence, this research is conducted to design and implement an appropriate data warehouse that is able to merge all public data from different government bodies and public websites in one data warehouse. This research started by locating relevant sources from various open data platforms such as Public Info Banjir and the Official Portal iDengue for community version 3.0. Then, significant data were collected such as river water level data, rainfall data, dengue locality cases and weather data. A public data warehouse was constructed using the bottom-up approach of the Kimball methodology. Following this, a galaxy schema model was identified to design the fact and dimension tables, which is then converted into a logical model. Finally, the structured data warehouse was developed. The public data warehouse, containing data such as water level, rainfall, dengue locality cases and weather data will be of great benefit to both government bodies and the public. For future study, the data warehouse enables the development of advanced analytics and predictive models, which helps to enhance decision-making and optimize infrastructure management in relation to flood mitigation efforts. AIP Publishing 2024 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42515/1/030009_1_5.0213934.pdf pdf en http://umpir.ump.edu.my/id/eprint/42515/7/Design%20and%20Implementation%20of%20Public%20Data%20Warehouse%20-Intro.pdf Nurul Farhanah, Isha and Nor Azuana, Ramli and Qistina Batrisyia, Azman Shah (2024) Design and implementation of public data warehouse. In: AIP Conference Proceedings. 4th International Conference On Applied & Industrial Mathematics and Statistic 2023 (ICoAIMS 2023): Mathematics and Statistics for Technological Society , 22–24 August 2023 , Pahang, Malaysia. pp. 1-10., 3128 (030009). ISBN 978-0-7354-4957-2 (Published) https://doi.org/10.1063/5.0213934
spellingShingle QA75 Electronic computers. Computer science
Nurul Farhanah, Isha
Nor Azuana, Ramli
Qistina Batrisyia, Azman Shah
Design and implementation of public data warehouse
title Design and implementation of public data warehouse
title_full Design and implementation of public data warehouse
title_fullStr Design and implementation of public data warehouse
title_full_unstemmed Design and implementation of public data warehouse
title_short Design and implementation of public data warehouse
title_sort design and implementation of public data warehouse
topic QA75 Electronic computers. Computer science
url http://umpir.ump.edu.my/id/eprint/42515/1/030009_1_5.0213934.pdf
http://umpir.ump.edu.my/id/eprint/42515/7/Design%20and%20Implementation%20of%20Public%20Data%20Warehouse%20-Intro.pdf
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