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A Decisions Query Language (DQL): High-Level Abstraction for Mathematical Programming over Databases

Summary: DQL unifies mathematical programming with database queries for decision optimization over data. Tight integration reduces impedance mismatch and enables more efficient evaluation than loosely coupled systems; makes OR-style optimization accessible to DB programmers with no OR background; demonstrated in an emergency scenario. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
haa7e2e0dd2bd54d5
Venue
SIGMOD
Year
2009
Pagerank
5.1349531e-05
Overall Rank
9,759 | 34.39%
DOI
10.1145/1559845.1559981

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{brodsky_sigmod09,
        title = {{A Decisions Query Language (DQL): High-Level Abstraction for Mathematical Programming over Databases}},
        author = {Brodsky, Alexander and Bhot, Mayur M. and Chandrashekar, Manasa and Egge, Nathan E. and Wang, X. Sean},
        series = {{SIGMOD} '09},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1559845.1559981},
        url = {https://dl.acm.org/doi/10.1145/1559845.1559981},
        year = {2009}
}

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10,822 Decisionhouse: Prescriptive Analytics in the Data Stack 2026 VLDB 4.9793485e-05
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