Data Lake Scalability
Data Lake Scalability is a structural property of data lake architectures that enables seamless expansion in storage capacity and processing capabilities to accommodate growing volumes, velocities, and varieties of raw data without degradation in performance or operational efficiency.
17
Publications
341
Citations
54
Authors
34
Institutions
Publications per year
2017–2026
16
Parents
17
Architecture and prototype of a WLCG data lake for HL-LHC
Ian Bird, S. Campana, Maria Girone et al. · EPJ Web of Conferences · 2019 · 25 citations · Full text
1–5 of 17
54
2
h-index
1
h-index
École Nationale de Commerce et de Gestion de Tanger, Morocco
1 publications · 40 citations
1
h-index
1
h-index
1
h-index
1–5 of 54
34

Centre National de la Recherche Scientifique
Paris, France
2 h-index
3 publications
39 citations

European Organization for Nuclear Research
Geneva, Switzerland
2 h-index
6 publications
84 citations
University of California San Diego
San Diego, United States
1 h-index
1 publications
15 citations
University of California, Davis
Davis, United States
1 h-index
1 publications
32 citations
MIREA - Russian Technological University
Moscow, Russia
1 h-index
2 publications
28 citations
Netherlands Institute for Radio Astronomy
Dwingeloo, The Netherlands
1 h-index
1 publications
13 citations
Université Toulouse - Jean Jaurès
Toulouse, France
1 h-index
3 publications
36 citations
Institut Polytechnique de Bordeaux
Bordeaux, France
1 h-index
3 publications
36 citations
1–8 of 34
IJACSA · 3 publications · 43 citations
3
h-index
3 publications · 53 citations
3
h-index
Conference · 1 publications · 29 citations
1
h-index
1 publications · 12 citations
1
h-index
1 publications · 40 citations
1
h-index
1–5