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)
Incoming Non-self Citations Over Time
Authors
- 1. Alex Nazaruk
- 2. Michael Rauchman
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,091 | E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing Systems | 2015 | VLDB | 0.00014133147 |
| 3,176 | Interactive Outlier Exploration in Big Data Streams | 2014 | VLDB | 7.4380543e-05 |
| 4,447 | MorphoSys: Automatic Physical Design Metamorphosis for Distributed Database Systems | 2020 | VLDB | 6.1745324e-05 |
| 6,990 | Sharing-Aware Outlier Analytics over High-Volume Data Streams | 2016 | SIGMOD | 4.8656085e-05 |
| 8,229 | Don’t Look Back, Look into the Future: Prescient Data Partitioning and Migration for Deterministic Database Systems | 2021 | SIGMOD | 4.5495076e-05 |
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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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