Big Data Analytics for Financial Services
Big Data Analytics for Financial Services – Dodd Frank Regulations
Financial Services industry is moving towards cloud computing and big data processing with analytics. Hadoop based applications over the cloud are becoming more and more popular with extra large real-time data. The Dodd-Frank Act signifies the big¬gest US regulatory change in several decades. According to experts, Dodd-Frank will have a substantial influence over an estimated 8,500 investment managers, all the 10–12 US exchanges and alternative execution networks. This class will discuss the principal functionalities for any investment managers to consider while building a business system to meet these requirements. Big data analytics with Hadoop, Hbase, Hive and BI suites will be discussed.
Dr. Shyam Sundar Sarkar is an entrepreneur and software researcher for over 25 years. He worked for several companies like Unisys, Informix, Oracle, Reconnex etc. as architect, researcher and senior executive. He was a serial entrepreneur and co-founder of multiple startup companies in the past. He has several patents and publications. He writes blogs in social networking sites and made valuable suggestions to influence healthcare law, green technology and financial regulations. He is currently CEO of a startup company working on Dodd-Frank financial regulations and Big Data Analytics. He can be reached at firstname.lastname@example.org.
We will go through deploying a cluster in the lab with example applications.
Exposure to Financial services business processes, concepts in various trading processes and latest Dodd-Frank regulations for financial industry
C-level executives, executives, analysts, architects, business developers, code developers, IT Administrators;
November 5th 2011 on 10:00 pm to 3:30 pm (lunch included)