Big Data Analytic and IoT for Water Resources

Elhassan Jamal, Aniss Moumen, Youssef Rissouni, Jamal Chao, Aimad Tahi

2021

Abstract

Water is an increasingly scarce commodity. This life-preserving resource is an integral component of all industries, from agribusiness to power generation. New technologies like Big Data can enable businesses, communities, and people to overcome this crucial issue for humanity. However, the digital transformation of water management can only attain significant success if designed and executed efficiently. Indeed, Analytics and Big Data could prove decisive in our fight against the loss of water resources. Combined with the Internet of Things, Big Data analytics technologies could help us optimize resource consumption, and reduce their losses. This paper, will investigate the role of these new techniques and their provision of qualitative water sources to facilitate and improve the average human life. What appropriate architecture can we implement to solve our water scarcity issues compared to existing digital architectures?

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Paper Citation


in Harvard Style

Jamal E., Moumen A., Rissouni Y., Chao J. and Tahi A. (2021). Big Data Analytic and IoT for Water Resources. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 433-439. DOI: 10.5220/0010736000003101


in Bibtex Style

@conference{bml21,
author={Elhassan Jamal and Aniss Moumen and Youssef Rissouni and Jamal Chao and Aimad Tahi},
title={Big Data Analytic and IoT for Water Resources},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={433-439},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010736000003101},
isbn={978-989-758-559-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - Big Data Analytic and IoT for Water Resources
SN - 978-989-758-559-3
AU - Jamal E.
AU - Moumen A.
AU - Rissouni Y.
AU - Chao J.
AU - Tahi A.
PY - 2021
SP - 433
EP - 439
DO - 10.5220/0010736000003101