Accéder directement au contenu Accéder directement à la navigation
Article dans une revue

Data Lake Governance: Towards a Systemic and Natural Ecosystem Analogy

Abstract : The realm of big data has brought new venues for knowledge acquisition, but also major challenges including data interoperability and effective management. The great volume of miscellaneous data renders the generation of new knowledge a complex data analysis process. Presently, big data technologies provide multiple solutions and tools towards the semantic analysis of heterogeneous data, including their accessibility and reusability. However, in addition to learning from data, we are faced with the issue of data storage and management in a cost-effective and reliable manner. This is the core topic of this paper. A data lake, inspired by the natural lake, is a centralized data repository that stores all kinds of data in any format and structure. This allows any type of data to be ingested into the data lake without any restriction or normalization. This could lead to a critical problem known as data swamp, which can contain invalid or incoherent data that adds no values for further knowledge acquisition. To deal with the potential avalanche of data, some legislation is required to turn such heterogeneous datasets into manageable data. In this article, we address this problem and propose some solutions concerning innovative methods, derived from a multidisciplinary science perspective to manage data lake. The proposed methods imitate the supply chain management and natural lake principles with an emphasis on the importance of the data life cycle, to implement responsible data governance for the data lake.
Type de document :
Article dans une revue
Liste complète des métadonnées

Littérature citée [76 références]  Voir  Masquer  Télécharger

https://hal.umontpellier.fr/hal-02912702
Contributeur : Carmen Gervet <>
Soumis le : lundi 7 septembre 2020 - 13:12:33
Dernière modification le : mardi 4 mai 2021 - 09:52:02
Archivage à long terme le : : mercredi 2 décembre 2020 - 21:45:23

Fichier

futureinternet-12-00126-v3.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Marzieh Derakhshannia, Carmen Gervet, Hicham Hajj-Hassan, Anne Laurent, Arnaud Martin. Data Lake Governance: Towards a Systemic and Natural Ecosystem Analogy. Future internet, MDPI, 2020, 12 (8), pp.126. ⟨10.3390/fi12080126⟩. ⟨hal-02912702⟩

Partager

Métriques

Consultations de la notice

180

Téléchargements de fichiers

60