I plan to attend the webinar described below on Thursday. I'm curious what
item #1 means: "Use of this parallel computing in R is highlighted via the
use of the iterators and foreach packages." I could share anything
interesting from that webinar. [On occasion I sure wish I had access to a
Earl F Glynn
Overland Park, KS
Netezza and Revolution R Enterprise vs. the Cloud and R:
Comparing Performance of Distributed Computing Platforms Using Applications
in Backtesting FINRA's Limit Up/Down Rules
Date: Thursday, September 29, 2011
Time: 11:00 am PT / 2:00 pm ET
Duration: 60 minutes
*Please note: To access this event, please make sure your computer's
"cookies" are enabled and any pop-up blocking software is off.
Yale researchers Michael Kane, PhD and Casey King, PhD considered the FINRA
rules through the lens of historical data analysis. By looking at roughly 24
billion trades from 2008-2010, the Yale researchers studied the efficacy of
the FINRA rules, (as featured in the August 15, 2011 issue of Barrons).
Because of its sheer size a timely analysis of this volume of market data
poses serious computational challenges. In this webinar, three techniques
are compared to meet this challenge.
1. Use of this parallel computing in R is highlighted via the use of the
iterators and foreach packages.
2. The use of the cloud using Amazon Web Services and
3. The use of IBM Netezza analytic appliances integrated with Revolution R
Enterprise, the enterprise-ready distribution of R from Revolution