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)
Incoming Non-self Citations Over Time
Authors
- 1. Kamil Bajda-Pawlikowski (Hadapt; Yale University)
- 2. Daniel J. Abadi (Hadapt; Yale University)
- 3. Avi Silberschatz (Yale University)
- 4. Erik Paulson (University of Wisconsin)
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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