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Article

Data Lake Governance: Towards a Systemic and Natural Ecosystem Analogy

1
LIRMM, Univ. Montpellier, CNRS, 34090 Montpellier, France
2
Espace Dev, Univ. Montpellier, IRD, Univ Guyane, Univ. Réunion, 34293 Montpellier, France
3
CNRS-L, Beirut P.O. Box 11-8281, Lebanon
4
CEFE, Univ. Montpellier, CNRS, 34293 Montpellier, France
*
Author to whom correspondence should be addressed.
Future Internet 2020, 12(8), 126; https://doi.org/10.3390/fi12080126
Received: 12 May 2020 / Revised: 29 June 2020 / Accepted: 29 June 2020 / Published: 27 July 2020
(This article belongs to the Special Issue Selected Papers from the INSCI2019: Internet Science 2019)
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. View Full-Text
Keywords: data lakes; data governance; sustainability; supply chain management; natural lake; ecosystem data lakes; data governance; sustainability; supply chain management; natural lake; ecosystem
MDPI and ACS Style

Derakhshannia, M.; Gervet, C.; Hajj-Hassan, H.; Laurent, A.; Martin, A. Data Lake Governance: Towards a Systemic and Natural Ecosystem Analogy. Future Internet 2020, 12, 126. https://doi.org/10.3390/fi12080126

AMA Style

Derakhshannia M, Gervet C, Hajj-Hassan H, Laurent A, Martin A. Data Lake Governance: Towards a Systemic and Natural Ecosystem Analogy. Future Internet. 2020; 12(8):126. https://doi.org/10.3390/fi12080126

Chicago/Turabian Style

Derakhshannia, Marzieh, Carmen Gervet, Hicham Hajj-Hassan, Anne Laurent, and Arnaud Martin. 2020. "Data Lake Governance: Towards a Systemic and Natural Ecosystem Analogy" Future Internet 12, no. 8: 126. https://doi.org/10.3390/fi12080126

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