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Big (Et) Data Dans Toute Sa Complexite

Author

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  • Cécile Godé

    (CRET-LOG - Centre de Recherche sur le Transport et la Logistique - AMU - Aix Marseille Université)

  • Amandine Pascal

    (LEST - Laboratoire d'Economie et de Sociologie du Travail - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique)

Abstract

Les définitions les plus connues du Big Data font une large place à ses caractéristiques d'ampleur ou aux capacités technologiques de stockage et traitement des données massives. Après être revenu sur ces deux dimensions, cette chronique en développe une troisième, peu traitée par la littérature en management : la complexité. Le Big Data ne fait alors plus forcément référence à des ensembles massifs de données mais à des combinaisons de données hétérogènes qui interagissent et se transforment de façon imprévisible. Cette perspective incite à abandonner toute pensée simplifiante pour appréhender pleinement le Big Data et embrasser les nouveaux défis qu'il soulève.

Suggested Citation

  • Cécile Godé & Amandine Pascal, 2021. "Big (Et) Data Dans Toute Sa Complexite," Post-Print hal-03134526, HAL.
    • Handle: RePEc:hal:journl:hal-03134526
    DOI: 10.36863/mds.a.15696
    Note: View the original document on HAL open archive server: https://hal.science/hal-03134526
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