Big Data architecture for water resources management: A Systematic Mapping Study
Ania Cravero, Orlando Saldaña, Roberto Espinosa, Christian Antileo · IEEE Latin America Transactions · 2018
The combination of growth in demand for water, climate and hydrological gap, pushed the decision makers and water resource managers to find strategies for effective management of water resources. In this sense, looking for a new technology that allows data processing on a large scale, and with a complex structure, is that it has been using the new generation of Business Intelligence technology, known as Big Data. In recent years, solutions have been proposed for Big Data management issues of water resources in general. In this paper we provide an overview of the characteristics of the proposed architectures, serving as a starting point for further research.