Data Engineering
Data engineering is the discipline of designing, building, and maintaining systems and infrastructure that collect, store, process, and transform raw data into formats suitable for analysis and application.
4.4K
Publications
244.3K
Citations
12.2K
Authors
2.8K
Institutions
Publications per year
2017–2026
1.3K
4.4K
Data management and analysis methods.
A. Michael Huberman, Matthew B. Miles · 1994 · 3.3K citations
Reshaping Data with the<b>reshape</b>Package
Hadley Wickham · Journal of Statistical Software · 2007 · 2.9K citations · Full text
Ahmad Rijali · ALHADHARAH JURNAL ILMU DAKWAH · 2019 · 2.9K citations · Full text
Models and issues in data stream systems
Brian Babcock, Shivnath Babu, Mayur Datar et al. · 2002 · 2.5K citations
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12.2K
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16
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2.8K
Stanford University
Stanford, United States
35 h-index
135 publications
32.6K citations
IBM (United States)
Armonk, United States
33 h-index
155 publications
14.8K citations
IBM Research - Almaden
San Jose, United States
30 h-index
105 publications
13.4K citations
University of California, Berkeley
Berkeley, United States
26 h-index
67 publications
6.2K citations
University of Washington
Seattle, United States
26 h-index
82 publications
7.9K citations
AT&T (United States)
Bedminster, United States
26 h-index
59 publications
5.9K citations
Microsoft (United States)
Redmond, United States
25 h-index
96 publications
7.8K citations

University of Edinburgh
Edinburgh, United Kingdom
24 h-index
56 publications
5.1K citations
1–8 of 2.8K
PVLDB · 70 publications · 5.1K citations
36
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53 publications · 5.2K citations
35
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TKDE · 44 publications · 3.7K citations
27
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40 publications · 2.2K citations
27
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TODS · 25 publications · 3.3K citations
24
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