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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)

Paper ID
4669
Venue
SIGMOD
Year
2012
Pagerank
7.5747814e-05
Overall Rank
3,275 | 77.54%
DOI
10.1145/2213836.2213963

Incoming Non-self Citations Over Time

Authors

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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