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Big Data Architecture for Moroccan Water Stakeholders: Proposal and Perception

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WITS 2020

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 745))

Abstract

The water data are produced from synchronous and/or asynchronous observations of water bodies. The aim of these observations is to support water resource management. The water entities and concepts give meaning to all collected data. These entities are heterogeneous, with a wealth of attributes and very varied functions. In this paper we will present the steps followed for the characterization of the entities for water resources in Morocco. From trip works, interviews with experts and observations with Moroccan stakeholders. Then in a second step, we will propose a vision on a big data architecture for water resources in Morocco, which can be used by the public administrations.

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Author information

Authors and Affiliations

  1. National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

    Aniss Moumen

  2. Faculty of Sciences, Moulay Ismail University, Meknes, Morocco

    Badraddine Aghoutane & Ali Essahlaoui

  3. National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Younes Lakhrissi

Authors
  1. Aniss Moumen
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  2. Badraddine Aghoutane
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  3. Younes Lakhrissi
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  4. Ali Essahlaoui
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Corresponding author

Correspondence to Aniss Moumen .

Editor information

Editors and Affiliations

  1. Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Saad Bennani

  2. Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Younes Lakhrissi

  3. Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Ghizlane Khaissidi

  4. Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Anass Mansouri

  5. Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Youness Khamlichi

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Moumen, A., Aghoutane, B., Lakhrissi, Y., Essahlaoui, A. (2022). Big Data Architecture for Moroccan Water Stakeholders: Proposal and Perception. In: Bennani, S., Lakhrissi, Y., Khaissidi, G., Mansouri, A., Khamlichi, Y. (eds) WITS 2020. Lecture Notes in Electrical Engineering, vol 745. Springer, Singapore. https://doi.org/10.1007/978-981-33-6893-4_23

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  • DOI: https://doi.org/10.1007/978-981-33-6893-4_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6892-7

  • Online ISBN: 978-981-33-6893-4

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