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Data Intensive Technologies for Financial Regulatory Systems

13 Pages Posted: 22 Oct 2014  

Roy S Freedman

Inductive Solutions, Inc.; NYU Polytechnic School of Engineering

Date Written: October 9, 2014

Abstract

We briefly review three U.S. regulatory initiatives in the context of data intensive technologies. We compare the conventional data warehouse approaches versus the newer approaches based on exploiting parallel computation, from data appliance to the open source “big data” approaches. Several existing financial applications are reviewed and implementation tradeoffs are discussed. The goal is to help regulators understand these technologies and to help technologists understand the new financial regulatory initiatives.

Keywords: Dodd-Frank Compliance, Consolidated Audit Trail, Regulation SCI, financial technology, federated database, parallel computation, data warehouse appliance, Hadoop, big data

JEL Classification: O32, O33, G18

Suggested Citation

Freedman, Roy S, Data Intensive Technologies for Financial Regulatory Systems (October 9, 2014). NYU Tandon Research Paper No. 2512321. Available at SSRN: https://ssrn.com/abstract=2512321 or http://dx.doi.org/10.2139/ssrn.2512321

Roy S Freedman (Contact Author)

Inductive Solutions, Inc. ( email )

380 Rector Place 4A
New York, NY 10280
United States
+1212.945.0630 (Phone)

HOME PAGE: http://www.inductive.com

NYU Polytechnic School of Engineering ( email )

Department of Finance and Risk Engineering
Brooklyn, NY 11201
United States

HOME PAGE: http://engineering.nyu.edu/academics/departments/finance

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