377 search results for "hadoop"

How to program MapReduce jobs in Hadoop with R

September 13, 2011
By

MapReduce is a powerful programming framework for efficiently processing very large amounts of data stored in the Hadoop distributed filesystem. But while several programming frameworks for Hadoop exist, few are tuned to the needs of data analysts who typically work in the R environment as opposed to general-purpose languages like Java. That's why the dev team at Revolution Analytics...

Read more »

Webinar: Leveraging R in Hadoop Environments

September 6, 2011
By
Webinar: Leveraging R in Hadoop Environments

On Wednesday September 21, Revolution Analytics' CTO David Champagne will give a live webinar introducing three new open-source packages for R and Hadoop, which make it possible to work with Hadoop data in R, and bring in-database R analytics to Hadoop. Here are the details: Date: Wednesday, September 21st Time: 10:00AM - 10:30AM Pacific Time Presenter: David Champagne, Chief...

Read more »

Using R for Map-Reduce applications in Hadoop

May 4, 2011
By

Data Scientist Antonio Piccolboni recently published this comparison of the various language and interfaces available for programming Big Data analysis tasks in the map-reduce framework. The interfaces he reviewed included: Java Hadoop (mature and efficient, but verbose and difficult to program) Cascading (brings an SQL-like flavor to Java programming with Hadoop) Pipes/C++ (a C++ interface to programming on Hadoop)...

Read more »

RHIPE: An Interface Between Hadoop and R for Large and Complex Data Analysis

February 16, 2011
By
RHIPE: An Interface Between Hadoop and R for Large and Complex Data Analysis

RHIPE: An Interface Between Hadoop and R Presented by Saptarshi Guha About the Video: I filmed the event using LectureMaker’s live event recording technique. One special feature I add to my R video recordings is the addition of my own R source code … Continue reading →

Read more »

Run R in parallel on a Hadoop cluster with AWS in 15 minutes

January 10, 2011
By

If you're looking to apply massively parallel resources to an R problem, one of the most time-consuming aspects of the problem might not be the computations themselves, but the task of setting up the cluster in the first place. You can use Amazon Web Services to set up the cluster in the cloud, but even that take some time,...

Read more »

Abusing Amazon’s Elastic MapReduce Hadoop service… easily, from R

January 10, 2011
By
Abusing Amazon’s Elastic MapReduce Hadoop service… easily, from R

JD Long's experimental segue package makes it easy to use Amazon's Elastic MapReduce service to fire up a Hadoop cluster and use it for non-Big Data, computationally-intensive tasks. The package provides a cluster-aware version of lapply() which "just works".

Read more »

How Orbitz uses Hadoop and R to optimize hotel search

December 21, 2010
By
How Orbitz uses Hadoop and R to optimize hotel search

Positional bias — the tendency for users to preferentially select results in the first few positions of a search — is a big issue for all kinds of search engines. But for online travel site Orbitz the stakes are higher than for a traditional Web search engine: if a customer chooses the first-listed hotel in a search for accommodations,...

Read more »

What’s Next for Revolution R and Hadoop?

November 30, 2010
By

It's been a busy fall season for the team at Revolution Analytics. Over the past few months, we've announced major product enhancements for Revolution R -- RevoScaleR, for tackling big data sets, and RevoDeployR, for embedding Revolution R into wider applications. We've continued to add to our growing customer base at an aggressive rate and we've been busy crisscrossing...

Read more »

Using R and Hadoop to analyze VOIP data

November 8, 2010
By

Last month, the newest member of Revolution's engineering team, Saptarshi Guha, gave a presentation at Hadoop World 2010 on using R and Hadoop to analyze 1.3 billion voice-over-IP packets to identify calls and measure call quality. Saptarshi, of course, is the author of RHIPE, which lets R programmers write map-reduce algorithms in the Hadoop framework without needing to learn...

Read more »

Saptarshi Guha on Hadoop, R

September 20, 2010
By

Saptarshi Guha (author of the Rhipe package) joins the likes of Ebay, Yahoo, Twitter and Facebook and as one of just 37 presenters at the Hadoop World conference. (Revolution Analytics is proud to sponsor Saptarshi's presence at this event, which take place in New York on October 12.) He'll be talking about using R and Hadoop to analyze Voice-over-IP...

Read more »