Automated Partitioning Design in Parallel Database Systems
Summary: Proposes a partitioning advisor for MPPs to cut data movement by choosing replication vs distribution. Integrates partitioning advice with the optimizer for faster, more accurate plans; evaluated on SQL Server PDW with real and synthetic workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rimma Nehme (Microsoft)
- 2. Nicolas Bruno (Microsoft)
BibTeX Citation
@inproceedings{nehme_sigmod11,
title = {{Automated Partitioning Design in Parallel Database Systems}},
author = {Nehme, Rimma and Bruno, Nicolas},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989444},
url = {https://dl.acm.org/doi/10.1145/1989323.1989444},
year = {2011}
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