Repositorio
Institucional

Cravero, A.

Saldana, O.#Espinosa, R.#Antileo, C.

Big Data Architecture for Water Resources Management: A Systematic Mapping Study

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

IEEE LATIN AMERICA TRANSACTIONS

es

The combination of growth in demand for water, climate and hydrological gap, pushed the decision makers and water resource managers to search strategies for effective management of water resources. In this sense, the new generation of Business Intelligence technologies, known as Big Data, allows mass processing of complex data on a large scale. In recent years, several solutions have been proposed for management issues of water resources in general using Big Data. In this paper we provide an overview of proposed architectures features, serving as a starting point for further research.

Artículo original

10.1109/TLA.2018.8358672

pdf

Big Data# architecture# water# resources# systematic mapping

http://dx.doi.org/10.1109/TLA.2018.8358672

Computer Science, Information Systems# Engineering, Electrical & Electronic

Grandes datos# arquitectura# agua# recursos# mapeo sistemático

Oceanografía, Hidrología y Recursos del Agua

Ciencias de la Computación

Ciencias de la Información y Bioinformática

version publicada

suscripción

metadata

metadata

WOS:000432210400030

Big Data Architecture for Water Resources Management: A Systematic Mapping Study

Artículo original

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

IEEE LATIN AMERICA TRANSACTIONS

Ciencias de la Computación, Sistemas de Información# Ingeniería, Eléctrica y Electrónica

1548-0992

es

pdf

655

677