Offline Data Processing
Offline Data Processing is a batch processing methodology characterized by the deferred execution of data transformations or computations on datasets that are collected and stored prior to processing, distinguishing it from real-time or online data processing by its reliance on non-immediate, scheduled, and often resource-efficient backend operations.
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Publications
15.7K
Citations
1.5K
Authors
543
Institutions
Publications per year
2017–2026
141
Parents
299
Christian Kohl, Emma McIntosh, Stefan Unger et al. · Environmental Evidence · 2018 · 474 citations · Full text
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Tsinghua University
Beijing, China
7 h-index
15 publications
3.6K citations

Shanghai Jiao Tong University
Shanghai, China
5 h-index
12 publications
387 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
11 publications
305 citations
University of Michigan
Ann Arbor, United States
5 h-index
8 publications
728 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
11 publications
1.5K citations
Technische Universität Berlin
Berlin, Germany
4 h-index
8 publications
1.6K citations

University of Minnesota
Minneapolis, United States
4 h-index
7 publications
429 citations

Universidad Politécnica de Madrid
Madrid, Spain
4 h-index
13 publications
404 citations
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Repository · 13 publications · 642 citations
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6 publications · 369 citations
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5 publications · 152 citations
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5 publications · 1.9K citations
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4 publications · 633 citations
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