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Lazy ETL in Action: ETL Technology Dates Scientific Data

Summary: Integrates ETL into query processing for scientific warehouses, avoiding costly eager ingestion by extracting, transforming, and loading only query-demanded data on demand. A seismic-data demo exposes these lazy stages and runtime modifications during analysis. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10782
Venue
VLDB
Year
2013
Pagerank
5.093636e-05
Overall Rank
12,270 | 15.82%
DOI
10.14778/2536274.2536308

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Authors

BibTeX Citation

@article{kargin_vldb13,
        title = {{Lazy ETL in Action: ETL Technology Dates Scientific Data}},
        author = {Kargin, Yagiz and Ivanova, Milena and Zhang, Ying and Manegold, Stefan and Kersten, Martin},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {12},
        pages = {1286--1289},
        doi = {10.14778/2536274.2536308},
        url = {https://doi.org/10.14778/2536274.2536308},
        year = {2013}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
868 Requirements for Science Data Bases and SciDB 2009 CIDR 0.00013504796
1,070 NoDB: Efficient Query Execution on Raw Data Files 2012 SIGMOD 0.0001232307
1,927 Here are my Data Files. Here are my Queries. Where are my Results? 2011 CIDR 9.4703074e-05
2,151 An Architecture for Recycling Intermediates in a Column-store 2009 SIGMOD 9.0784444e-05
5,728 Shrinking the Warehouse Update Window 1999 SIGMOD 6.1073148e-05
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