Optimizing Analytic Data Flows for Multiple Execution Engines
Summary: Optimizes analytic data flows across DBMS, MapReduce, and orchestration engines for a single objective: performance. Introduces data shipping, function shipping, and operation decomposition, with cross-engine flow graphs and demonstrated performance gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alkis Simitsis (Hewlett Packard Enterprise)
- 2. Kevin Wilkinson (Hewlett Packard Enterprise)
- 3. Malu Castellanos (Hewlett Packard Enterprise)
- 4. Umeshwar Dayal (Hewlett Packard Enterprise)
BibTeX Citation
@inproceedings{simitsis_sigmod12,
title = {{Optimizing Analytic Data Flows for Multiple Execution Engines}},
author = {Simitsis, Alkis and Wilkinson, Kevin and Castellanos, Malu and Dayal, Umeshwar},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213963},
url = {https://dl.acm.org/doi/10.1145/2213836.2213963},
year = {2012}
}
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