Data Lake Design
Data Lake Design is a scholarly framework that specifies the structural, organizational, and technological principles for integrating heterogeneous data sources into a centralized repository to enable scalable storage, efficient processing, and governed access within an enterprise data ecosystem.
39
Publications
2.3K
Citations
121
Authors
63
Institutions
Publications per year
2017–2026
30
Parents
39
Fatemeh Nargesian, Erkang Zhu, Renée J. Miller et al. · Proceedings of the VLDB Endowment · 2019 · 236 citations
Data lake: a new ideology in big data era
Pwint Phyu Khine, Zhao Shun Wang · ITM Web of Conferences · 2018 · 131 citations · Full text
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RWTH Aachen University
Aachen, Germany
3 h-index
3 publications
155 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
3 publications
223 citations

Université de Montpellier
Montpellier, France
2 h-index
5 publications
174 citations

UNSW Sydney
Sydney, Australia
2 h-index
9 publications
711 citations
Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
Montpellier, France
2 h-index
3 publications
126 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
96 citations
University of Minho
Braga, Portugal
1 h-index
3 publications
303 citations
MIREA - Russian Technological University
Moscow, Russia
1 h-index
2 publications
28 citations
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Conference · 3 publications · 80 citations
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PVLDB · 2 publications · 323 citations
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IJACSA · 2 publications · 25 citations
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2 publications · 117 citations
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1 publications · 18 citations
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