Extract-transform-load Pipelines
Extract-Transform-Load Pipelines is a data integration framework that systematically acquires data from heterogeneous sources (extract), applies structured modifications such as cleaning and aggregation (transform), and loads the processed data into a target repository for analysis or operational use.
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2.4K
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203
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100
Institutions
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2017–2026
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Michael Stonebraker, Daniel J. Abadi, David J. DeWitt et al. · Communications of the ACM · 2009 · 427 citations
Jeremy Petch, Joel Kempainnen, Christopher Pettengell et al. · JCO Clinical Cancer Informatics · 2023 · 137 citations · Full text
Enabling query processing across heterogeneous data models: A survey
Ran Tan, Rada Chirkova, Vijay Gadepally et al. · 2017 · 98 citations
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Aalborg University
Aalborg, Denmark
4 h-index
12 publications
369 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
3 h-index
5 publications
147 citations

University of Manchester
Manchester, United Kingdom
3 h-index
14 publications
332 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
4 publications
80 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
952 citations
Arizona State University
Tempe, United States
2 h-index
4 publications
139 citations

University of Chittagong
Chittagong, Bangladesh
2 h-index
2 publications
34 citations
Stanford University
Stanford, United States
2 h-index
12 publications
722 citations
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2 publications · 64 citations
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2 publications · 486 citations
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Book series · 2 publications · 38 citations
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PAKJET · 1 publications · 17 citations
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1 publications · 168 citations
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