Data Lake Analytics
Data Lake Analytics is a computational framework that enables the processing, exploration, and extraction of actionable insights from heterogeneous, large-scale datasets stored in a data lake by integrating scalable storage, flexible schema-on-read approaches, and advanced analytical techniques.
27
Publications
1.7K
Citations
87
Authors
36
Institutions
Publications per year
2017–2026
22
Parents
27
Fatemeh Nargesian, Erkang Zhu, Renée J. Miller et al. · Proceedings of the VLDB Endowment · 2019 · 236 citations
Dataset Discovery in Data Lakes
2020 · 110 citations · Full text
1–5 of 27
87
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 87
36
BT Research
Ipswich, United Kingdom
2 h-index
6 publications
93 citations

Silesian University of Technology
Gliwice, Poland
2 h-index
6 publications
186 citations

UNSW Sydney
Sydney, Australia
2 h-index
9 publications
711 citations
Yale University
New Haven, United States
1 h-index
6 publications
606 citations
Microsoft (United States)
Redmond, United States
1 h-index
7 publications
140 citations

University of Manchester
Manchester, United Kingdom
1 h-index
4 publications
440 citations
Patna University
Patna, India
1 h-index
1 publications
22 citations
Google (United States)
Mountain View, United States
1 h-index
1 publications
123 citations
1–8 of 36
PVLDB · 3 publications · 338 citations
3
h-index
1 publications · 14 citations
1
h-index
Conference · 1 publications · 20 citations
1
h-index
1 publications · 18 citations
1
h-index
Conference · 1 publications · 123 citations
1
h-index
1–5