dodd frank yahoo_10_14_2011_show

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Big Data solution for finance industry - DODD-FRANK regulation.

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Big Data Analytics to the rescue of Dodd-Frank Financial Regulations

By

Dr. Shyam Sundar SarkarSuvradeep Rudra

AyushNetE-mail: ssarkar@ayushnet.com

About the Speaker

Events Preceeding Dodd-Frank Act

Wall-Street Accountability and Consumer Protection Act of 2010 (Signed into law July 21, 2010)

IT and Dodd-Frank Implementations

IT and Dodd-Frank Implementations (contd..)

IT and Dodd-Frank Implementations (contd..)

IT and Dodd-Frank Implementations (contd..)

IT and Dodd-Frank Implementations (contd..)

Straight-Through Processing

Straight-Through Processing (Contd..)

The Issue of Business Entity Identification

Non-trivial Mapping of Business Entity Identifiers

US Regulators on Legal Entity Identifier

Cloud In The Horizon For Capital Markets

Transformation of Firm-wide Data Management into Industry-wide Data

Management

Straight-Through Processing (STP) and Pipelined Map Reduce

Matrix Definition Over Securities Trade(Millions or Billions of Rows and Columns)

Straight-Through Processing

Straight-Through Processing and Multiple Rounds of Map/Reduce

Straight-Through Processing and Multiple Rounds of Map/Reduce (Contd..)

About the Speaker

Map Reduce Framework

Hadoop Essential

Hadoop Essential

Exchanging Data in Straight Through Process

Importing/Exporting Data Using Sqoop for HBase

Pipeline Architecture

Pipelined MapReduce with HBase , Hive and BI tools

References

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