Extreme Data Mining

Summary: End-to-end extreme data mining at Google across hardware, networking, storage abstractions, and distributed numerical methods for high-throughput training and serving. Batch vs online training: infrastructure and algorithms optimized for planet-scale, 24/7 data processing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4033
Venue: SIGMOD
Year: 2008
Pagerank: 5.2902288e-05
Overall Rank: 9,297 | 36.22%
DOI: 10.1145/1376616.1376617

Incoming Non-self Citations Over Time

Authors

1. Sridhar Ramaswamy (Google)

BibTeX Citation

@inproceedings{ramaswamy_sigmod08,
        title = {{Extreme Data Mining}},
        author = {Ramaswamy, Sridhar},
        series = {{SIGMOD} '08},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1376616.1376617},
        url = {https://dl.acm.org/doi/10.1145/1376616.1376617},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,029	Distributed Threshold Querying of General Functions by a Difference of Monotonic Representation	2011	VLDB	5.5045998e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

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