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Authors: Oumaima El Haddadi 1 ; Mahmoud El Hamlaoui 1 ; Dkaki Taoufiq 2 and Mahmoud Nassar 1

Affiliations: 1 IMS Team, ADMIR Laboratory, Rabat IT Center, Mohammed V University in Rabat, Rabat, Morocco ; 2 IRIS Team, IRIT Laboratory, University Toulouse Jean - Jaurès, Toulouse, France

ISBN: 978-989-758-421-3

Keyword(s): Data Lake, Big Data, Metadata, Data Management.

Abstract: Due to the digital transformation and huge amount of publicly available data, decision support systems are becoming highly useful in helping to defining, managing and improving business strategies and objectives. Indeed, data is a key asset and a key competitive differentiator for all organizations. This newly available data has changed traditional data processing and created new challenges related to the velocity, volume and variety of data. To address these challenges related to the storage of heterogeneous data and to provide the ability of rapid data processing, we explore the data lake paradigm. In this paper, we present the state-of-the-art of Data Lake systems and highlight their major advantages and drawbacks. We also will propose a solution to improve Data Lake System.

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Paper citation in several formats:
El Haddadi, O.; El Hamlaoui, M.; Taoufiq, D. and Nassar, M. (2020). Data Lake and Digital Enterprise.In Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-421-3, pages 423-429. DOI: 10.5220/0009415604230429

@conference{enase20,
author={Oumaima El Haddadi. and Mahmoud El Hamlaoui. and Dkaki Taoufiq. and Mahmoud Nassar.},
title={Data Lake and Digital Enterprise},
booktitle={Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2020},
pages={423-429},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009415604230429},
isbn={978-989-758-421-3},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Data Lake and Digital Enterprise
SN - 978-989-758-421-3
AU - El Haddadi, O.
AU - El Hamlaoui, M.
AU - Taoufiq, D.
AU - Nassar, M.
PY - 2020
SP - 423
EP - 429
DO - 10.5220/0009415604230429

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