353 search results for "hadoop"

FasteR! HigheR! StrongeR! – A Guide to Speeding Up R Code for Busy People

April 25, 2013
By
FasteR! HigheR! StrongeR! – A Guide to Speeding Up R Code for Busy People

This is an overview of tools for speeding up your R code that I wrote for the Davis R Users’ Group. First, Ask “Why?” It’s customary to quote Donald Knuth at this point, but instead I’ll quote my twitter buddy Ted Hart to illustrate a point: I’m just going to say it.I like for loops in #Rstats,...

Read more »

Amazon AWS Summit 2013

April 18, 2013
By
Amazon AWS Summit 2013

I was fortunate enough to have been able to attend the Amazon AWS Summit in NYC and to listen to Werner Vogels give the keynote.  I will share a few of my thoughts on the AWS 2013 Summit and some of my take-aways.  I attended sessions that focused on two products in particular: Redshift and

Read more »

Mind Reading… What are our customers thinking?

April 17, 2013
By

Normal 0 false false false EN-US X-NONE X-NONE ...

Read more »

Looking Ahead: Revolution R Enterprise Release 7

April 16, 2013
By

by Thomas Dinsmore Revolution R Enterprise Release 6.2 goes live next week, so naturally our development team is thinking ahead to Release 7, which we plan to release later this year. Some of those enhancements are hush-hush, and we can't talk about them yet. But one of the most important enhancements we've already announced: support for predictive analytics inside...

Read more »

In case you missed it: March 2013 Roundup

April 10, 2013
By

In case you missed them, here are some articles from March of particular interest to R users. Facebook used R to analyze profile photo changes to create a map of same-sex marriage support in the USA. Joe Rickert contrasts random sampling with fitting models directly to large data sets. A presentation by Carlos Somohano summarizes the history, skills and...

Read more »

Instructions for Installing & Using R on Amazon EC2

April 8, 2013
By

If you’re an R user, you’ve surely heard all the hype around ‘big data’ and how R is commonly used to analyze these volumes of data. One thing that’s often missing from the discussion is HOW to work around issues using big data and R, specifically how to deal with the fact that R stores Instructions for Installing...

Read more »

Lots of data != "Big Data"

March 28, 2013
By
Lots of data != "Big Data"

by Joseph Rickert When talking with data scientists and analysts — who are working with large scale data analytics platforms such as Hadoop — about the best way to do some sophisticated modeling task it is not uncommon for someone to say, "We have all of the data. Why not just use it all?" This sort of comment often...

Read more »

Build a search engine in 20 minutes or less

March 27, 2013
By
Build a search engine in 20 minutes or less

…or your money back. author = "Ben Ogorek"Twitter = "@baogorek"email = paste0(sub("@", "", Twitter), "@gmail.com") Setup Pretend this is Big Data: doc1 <- "Stray cats are running all over the place. I see 10 a day!"doc2 <- "Cats are killers. They...

Read more »

Massive online data stream mining with R

Massive online data stream mining with R

A few weeks ago, the stream package has been released on CRAN. It allows to do real time analytics on data streams. This can be very usefull if you are working with large datasets which are already hard to put in RAM completely, let alone to build some statistical model on it without getting into RAM problems. Most of...

Read more »

Revolution Newsletter: March 2013

March 25, 2013
By

The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full March edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Get Results Fast with our Quick Start Programs: Need help getting value from predictive...

Read more »