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Authors: Hicham Jamil 1 ; Bouabid El Mansouri 1 and Aniss Moumen 2

Affiliations: 1 Natural Resources Geosciences Laboratory, Kenitra Faculty of Sciences, Ibn Tofail University, Morocco ; 2 Systems Engineering Laboratory, Kenitra ENSA, Ibn Tofail University, Morocco

Keyword(s): Information System, Big Data, Water Resources

Abstract: Water management is an essential vector that Morocco has adopted as an integral part of its government policy since the dawn of independence. It also initiated an important project for the collection and analysis of data relating to water resources. Data and systems. Necessary for water-related problems. The Hydraulic Basin Agencies, which constitute the body producing data relating to water resources, through measurement stations produce hydrological data, which will be consolidated at the Directorate General for Water level, thus making it possible to make decisions. The volume of these data and the diversity of the actors leads us to think of a water information system that integrates the concept of Big data to ensure good governance of these water resources by exploiting various data from several databases. In this article, we will compare existing architectures of water information systems according to a review of systemic literature and propose an architecture by exploiting Big data technology. (More)

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Paper citation in several formats:
Jamil, H.; El Mansouri, B. and Moumen, A. (2022). Role of Big Data Technologies in Water Information System. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - BML; ISBN 978-989-758-559-3, SciTePress, pages 419-425. DOI: 10.5220/0010735800003101

@conference{bml22,
author={Hicham Jamil. and Bouabid {El Mansouri}. and Aniss Moumen.},
title={Role of Big Data Technologies in Water Information System},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - BML},
year={2022},
pages={419-425},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010735800003101},
isbn={978-989-758-559-3},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - BML
TI - Role of Big Data Technologies in Water Information System
SN - 978-989-758-559-3
AU - Jamil, H.
AU - El Mansouri, B.
AU - Moumen, A.
PY - 2022
SP - 419
EP - 425
DO - 10.5220/0010735800003101
PB - SciTePress

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