Hadoop Analytics in Financial Services

A session at Strata 2012

Thursday 1st March, 2012

11:30am to 12:10pm (PST)

Once social media and web companies discovered Hadoop as the good enough solution for any data analytics problem that did not fit into mysql, Hadoop was on a rapid rise on the financial industry. The reasons the financial industry is adopting Hadoop very fast are very different than in other industries. Banks typically are not engineering driven organizations and terms like agile development, shared root key or cron tab scheduling are no go’s in a bank but standard around Hadoop.

This entertaining talk for bankers and other financial services managers with technical experience or engineers discusses four business intelligence platform deployments on Hadoop:

1. Long-term storage and analytics of transactions and the huge cost saves Hadoop can provide;

2. Identifying cross and up sell opportunities by analyzing web log files in combination with customer profiles;

3. Value-at-risk analytics; and

4. Understanding the SLA issues and identifying problems in a thousands-of-nodes, big services oriented architecture.

This session discusses the different use cases and the challenges to overcome in building and using BI on Hadoop.

About the speaker

This person is speaking at this event.
Stefan Groschupf

CEO, Datameer

Next session in Ballroom CD

1:30pm Using Map/Reduce to Speed Analysis of Video Surveillance by JP Morgenthal

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Strata 2012

United States United States, Santa Clara

28th February to 1st March 2012

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Time 11:30am12:10pm PST

Date Thu 1st March 2012


Ballroom CD, Santa Clara Convention Center

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