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"Big Data in Finance" / "Hadoop in Finance" day, NYC, Mon 26th March 2012 - Come see what the Hadoop folks are up to!

A former member
Post #: 70
Registration: www.HadoopInFinance.com (enter the code FH_MONGODB and SAVE!)

Date: Monday 26th March 2012, 8:00am to 6:00pm

Venue: Microsoft’s Offices, 1290 Avenue of the Americas, 6th Floor, New York, NY.

~~~ HADOOP IN FINANCE DAY, NYC, MON 26 MARCH 2012 - AGENDA ~~~

08:00-08:30: Registration and time to mingle.

~~~ PART 1: Big Data in Finance ~~~

08:30-08:45: Welcome Address ~ Didac Artes, Fountainhead.

08:45-09:15: Keynote: "Big Data in Finance"

09:15-09:45: Big Data in Finance, By the Numbers ~ Andrew Sheppard, Fountainhead. This talk will discuss (and quantify) where we are with big data in finance and, more importantly, where we seem to be heading.

09:45-10:15: Big Data in Finance, Challenges & Opportunities ~ James Mangold, NASDAQ. Find out how one company is meeting the challenges and opportunities of Big Data.

10:15-10:45: *** Break, and time to mingle. ***

10:45-11:15: Big Data in Finance, A Regulator’s Perspective ~ Andrei Kirilenko, Commodities Futures Trading Commission (CFTC). Big Data more and more falls under the purview of the regulators. You’d better understand the issues before embarking on that Big Data project.

~~~ PART 2: Hadoop in Finance ~~~

11:15-11:45: Hadoop, An Overview ~ Andrew Sheppard, Fountainhead. Hadoop is more than a single tool, it is the hub in a wheel of complementary tools (Hive, Pig, HBase, Mahout and others). This talk gives an overview of the Hadoop tools set.

11:45-12:15: Hadoop's Place in Financial Services ~ (Reserved for Cloudera). Hadoop is already finding wide application in financial services; a trend that looks set to expand considerably in the coming years.

~~~ Lunch & BOF sessions ~~~

(BOF sessions held in parallel with lunch - optional)

12:15-13:30: *** Book prizes for best questions. Informal pizza & soda lunch. Time to mingle. ***

SQL Azure ~ Anna Skobodzinski, Microsoft. “NoSQL” is all the rage these days; but SQL still has its place in managing your data.

Hadapt Adaptive Analytic Platform ~ Kelly Stirman, Hadapt. Who says Hadoop and SQL don’t mix? Hadapt combines the best of both. This talk covers Risk Warehousing using Hadapt.

~~~ PART 2: Hadoop in Finance (Continued) ~~~

13:30:14:00: Hadoop, Migrating and Managing Financial Data ~ Abhishek Mehta, Tresata. OK, so you’ve decided to put data in Hadoop. Now what? This talk covers some of the issues you will face as you move data to Hadoop and manage it there.

14:00-14:45: Finance, Big Data and Hadoop ~ Panel Discussion, Tom Groenfeldt, moderator. Viewpoints, opinions and Q&A with a panel of experts.

14:45-15:15: Hadoop in the Cloud ~ Brad Sarsfield, Microsoft Big Data Team. Big Data, many say, belongs in the Cloud. This talk discusses the advantages of putting financial data in Hadoop in the Cloud.

15:15-15:45: *** Break, and time to mingle. ***

~~~ PART 3: Data Analysis Using Hadoop ~~~

15:45-16:15: Excel With Hadoop ~ Brad Sarsfield, Microsoft Big Data Team. Excel is the de-facto front-end of choice in finance. From the trading desk to the risk department, Excel is ubiquitous; and for good reason, it’s a data analysis tool that everyone knows how to use. This talk shows how to use Excel as a front-end to Big Data in Hadoop for financial analysis.

16:15-16:45: R With Hadoop ~ Jared Lander, Revolution Analytics. The statistical package “R” has become a very popular analysis tool on Wall Street and combining it with Hadoop is a great way to look at, and analyze, big data.

16:45-17:15: Using Hadoop to Refine and Analyze Data ~ Shaun Connolly, Hortonworks. This session will discuss the emergence of Apache Hadoop as a high-scale open source data platform uniquely suited for ingesting and transforming these large volumes of raw, multi-structured data into refined data streams that can be intuitively analyzed by users.

17:15-17:30: Wrap up. Book prizes for best questions. Prize for questionnaire. ~ Didac

17:30 … : *** Time to mingle (outside the conference room, in the reception area). ***
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