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Efficient Processing of Data Warehousing Queries in a Split Execution Environment

Summary: Split-execution warehousing: push-down of query fragments into a fast DB layer (HadoopDB), remainder in MapReduce. Join and aggregation strategies on 3TB TPC-H; HadoopDB competitive with commercial DBs and Hive, scalable fault-tolerant analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4528
Venue
SIGMOD
Year
2011
Pagerank
9.061086e-05
Overall Rank
2,159 | 85.19%
DOI
10.1145/1989323.1989447

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{bajdapawlikowski_sigmod11,
        title = {{Efficient Processing of Data Warehousing Queries in a Split Execution Environment}},
        author = {Bajda-Pawlikowski, Kamil and Abadi, Daniel J. and Silberschatz, Avi and Paulson, Erik},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989447},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989447},
        year = {2011}
}

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