Big Data Analytic Architecture for Water Resources Management: A Systematic Review

Abstract

The management of hydraulic resources and especially water resources has become a major priority for decision-makers and planners at the international level. The advent of new technologies such as big data analytics and IoT has led to exponential changes in the volume of data generated daily in real-time, this monitoring information has potential significance if it is collected and aggregated effectively. The data collected are increasingly complex and represent a central government issue, developing water resource management strategies. The exploitation of this type of data requires new methods of analysis and knowledge discovery. This work presents a literature review of articles related to big data and water resources. Also, we present our proposition of a new architecture to conduct a big data analytic. In conclusion, we discuss the impact of using this technology in water resource management.