Tracing Data Flow Diagram for a Flood Early Warning System (FEWS) in Malaysia Using Prescriptive Big Data Analytics

Aziyati Yusoff, Salman Yussof, Norashidah Md Din


With the advent of big data era, it is commendable if this facility could also be a method of problem solving to the environmental issues, disaster management, and geographical sciences. In this research, the study of flood events particularly in Malaysia is using the approach of prescriptive big data analytics. The big data of flood events which is managed by more than one authorizing agencies in Malaysia is proposed to be tackled by designing a feasible smart engine that is able to integrate most data forms and sets that are available from the participating agencies. The critical part of this research is to conform the practicality of integrating those big data into a structured data management so that it is traceable and able to return the desired results. This article is deliberating on the possibilities of tracing the big data of flood events which has undergone the process of rigorous prescriptive data analytics and knowledge engineering to return the searched results.


big data analytics; data flow diagram; knowledge management; prescriptive big data; smart engine.

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