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Big Data Technology Implementation in Managing Water Related Disaster: Nahrim's Experience

Author(s): Mohammad Fikry Abdullah, Mardhiah Ibrahim, Harlisa Zulkifli

Linked Author(s): Mohammad Fikry Abdullah

Keywords: Big data analytics, water management, disaster, climate change

Abstract: Data explosion related to water and environment have evolved in parallel with the development of data processing technologies that is done either automatically or manually. Water and environment data received should be used comprehensively and collectively through detailed analytic processes by group of experts specialized in water and environment domain. A good data with a good analysis technique can support decision making activities with an aid from experts� insight, knowledge and experience. The implementation of Big Data Analytics (BDA) to the data received, collected and analyzed is not solely an Information Technology (IT) role, but it is a collaboration of the stakeholders such as Top Management team, Subject Matter Expert (SME) team and IT Technical team in determining the input, process and desired output of a BDA project. National Hydraulic Research Institute of Malaysia (NAHRIM) has been involved in the implementation of BDA technology by deliberating Climate Change domain as a case study in the project that consists of hydrologist, civil engineers, and researchers in the field of water resources, climate change and Information Technology. This paper is intended as an information sharing on NAHRIM experience in developing BDA project with the aim to encourage water related agencies or departments to implement BDA technology in water and environmental management. In this paper, we briefly share NAHRIM's first involvement and participation in BDA project and explain the mechanism and process of implementing our BDA project. Then, we discuss the common issues that arose during the execution of BDA projects and finally, we conclude this paper by presenting several suggestions to carry out BDA projects

DOI:

Year: 2017

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