DBScholar

Back to papers

Large-scale Predictive Analytics in Vertica: Fast Data Transfer, Distributed Model Creation, and In-database Prediction

Summary: Vertica integrates with Distributed R to cut transfers and preserve locality across table segments. In-database R model management and fast deployment enable scalable predictive analytics on large data, beating ODBC and rivaling in-memory engines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5076
Venue
SIGMOD
Year
2015
Pagerank
6.1604087e-05
Overall Rank
5,584 | 61.69%
DOI
10.1145/2723372.2742789

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{prasad_sigmod15,
        title = {{Large-scale Predictive Analytics in Vertica: Fast Data Transfer, Distributed Model Creation, and In-database Prediction}},
        author = {Prasad, Shreya and LeFevre, Jeff and Fard, Arash and Xu, Vincent and Gupta, Vishrut and Hsu, Meichun and Martinez, Jorge and Roy, Indrajit},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2742789},
        url = {https://dl.acm.org/doi/10.1145/2723372.2742789},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers