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Towards new e-Infrastructure and e-Services for Developing Countries. 14th EAI International Conference, AFRICOMM 2022, Zanzibar, Tanzania, December 5-7, 2022, Proceedings

Research Article

An Architecture of a Data Lake for the Sharing, Agricultural Knowledge in Burkina Faso

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  • @INPROCEEDINGS{10.1007/978-3-031-34896-9_13,
        author={Safiatou Sore and Yaya Traore and Moustapha Bikienga and Fr\^{e}d\^{e}ric T. Ouedraogo},
        title={An Architecture of a Data Lake for the Sharing, Agricultural Knowledge in Burkina Faso},
        proceedings={Towards new e-Infrastructure and e-Services for Developing Countries. 14th EAI International Conference, AFRICOMM 2022, Zanzibar, Tanzania, December 5-7, 2022, Proceedings},
        proceedings_a={AFRICOMM},
        year={2023},
        month={6},
        keywords={agriculture data lakes architecture ingestion exploration treatment questioning metadata},
        doi={10.1007/978-3-031-34896-9_13}
    }
    
  • Safiatou Sore
    Yaya Traore
    Moustapha Bikienga
    Frédéric T. Ouedraogo
    Year: 2023
    An Architecture of a Data Lake for the Sharing, Agricultural Knowledge in Burkina Faso
    AFRICOMM
    Springer
    DOI: 10.1007/978-3-031-34896-9_13
Safiatou Sore,*, Yaya Traore, Moustapha Bikienga, Frédéric T. Ouedraogo
    *Contact email: sore_safiatou@yahoo.fr

    Abstract

    With the advent of big data today, agricultural research institutes have stored enough data in databases at every level. This data contains a lot of knowledge that is often not well known by researchers and on the other hand, it may contain hidden semantic relationships. Therefore, it is important to find an adequate storage system for these data in order to discover new useful information that can be shared between the different actors in the field to improve agricultural productivity in Burkina. The concept that best responds to this storage and analysis problem is the data lake. Indeed, data lakes offer the possibility of storing a large volume of data in any format and data structure. They also provide services for data access and analysis. Our work revolves around the integration and storage of agricultural data (structured, semi-structured and unstructured). With the plurality of agricultural storage systems, the heterogeneity of the actors in the field and the disparity of the tools leads us to think that the data lake is a solution.

    The purpose of this essay is to investigate data lakes and their requirements while also putting out a broad framework for an agricultural data lake in Burkina Faso.

    Keywords
    agriculture data lakes architecture ingestion exploration treatment questioning metadata
    Published
    2023-06-30
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-031-34896-9_13
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