Data Lakes
Data Lakes is a centralized, scalable storage repository that distinguishes itself from traditional data stores by retaining raw, unstructured, and structured data in its native formats until needed for processing and analysis.
140
Publications
6.5K
Citations
443
Authors
178
Institutions
Publications per year
2017–2026
117
140
Fatemeh Nargesian, Erkang Zhu, Renée J. Miller et al. · Proceedings of the VLDB Endowment · 2019 · 236 citations
Michael Armbrust, Tathagata Das, Liwen Sun et al. · Proceedings of the VLDB Endowment · 2020 · 214 citations · Full text
Rihan Hai, Sandra Geisler, Christoph Quix · 2016 · 211 citations
1–5 of 140
443
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h-index
6
h-index
5
h-index
4
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4
h-index
1–5 of 443
178
RWTH Aachen University
Aachen, Germany
7 h-index
15 publications
986 citations
Northeastern University
Boston, United States
6 h-index
17 publications
873 citations
University of Chicago
Chicago, United States
6 h-index
21 publications
396 citations
Fraunhofer Institute for Applied Information Technology
Sankt Augustin, Germany
4 h-index
5 publications
499 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
9 publications
204 citations

University of Toronto
Toronto, Canada
4 h-index
7 publications
895 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
3 h-index
8 publications
575 citations
University of Stuttgart
Stuttgart, Germany
3 h-index
11 publications
307 citations
1–8 of 178
PVLDB · 12 publications · 826 citations
12
h-index
4 publications · 406 citations
5
h-index
4 publications · 70 citations
4
h-index
IJACSA · 3 publications · 36 citations
3
h-index
Conference · 3 publications · 80 citations
3
h-index
1–5