Big Data in Capital Markets

Summary: Electronic trading fuels massive, high-velocity, fragmented data streams across US stocks and options. Analyzes data flows and market participant needs to define DBMS requirements for real-time analytics, storage, and governance in capital markets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4821
Venue: SIGMOD
Year: 2013
Pagerank: 6.9418798e-05
Overall Rank: 4,041 | 72.28%
DOI: 10.1145/2463676.2486082

Incoming Non-self Citations Over Time

Authors

1. Alex Nazaruk (Middle Lake Partners)
2. Michael Rauchman (Middle Lake Partners)

BibTeX Citation

@inproceedings{nazaruk_sigmod13,
        title = {{Big Data in Capital Markets}},
        author = {Nazaruk, Alex and Rauchman, Michael},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2486082},
        url = {https://dl.acm.org/doi/10.1145/2463676.2486082},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
887	E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing Systems	2015	VLDB	0.00013403455
3,031	Interactive Outlier Exploration in Big Data Streams	2014	VLDB	7.8324917e-05
4,552	MorphoSys: Automatic Physical Design Metamorphosis for Distributed Database Systems	2020	VLDB	6.6348814e-05
6,766	Sharing-Aware Outlier Analytics over High-Volume Data Streams	2016	SIGMOD	5.7802844e-05
7,683	Don’t Look Back, Look into the Future: Prescient Data Partitioning and Migration for Deterministic Database Systems	2021	SIGMOD	5.5681274e-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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