(This article was first published on Oracle R Enterprise, and kindly contributed to R-bloggers) Oracle R Connector for Hadoop (ORCH), a collection of R packages that enables Big Data analytics using HDFS, Hive, and Oracle Database from a local R environment, continues to make advancements. ORCH 2.1.0 is now available, providing a flexible framework while remarkably improving performance and...
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Bringing R to the Enterprise – new white paper available
Check out this new white paper entitled "Bringing R to the Enterprise - A Familiar R Environment with Enterprise-Caliber Performance, Scalability, and Security."
In this white paper, we begin with "Beyond the Laptop" exploring the ability to run R code in the database, working with CRAN packages at the database server, operationalizing R analytics, and...
Mahout for R Users
I have a few posts coming up on Apache Mahout so I thought it might be useful to share some notes. I came at it as primarily an R coder with some very rusty Java and C++ somewhere in the back of my head so that will be my point of reference. I’ve also included … Continue reading...
A Big Data introduction
Since R uses the computer RAM, it may handle only rather small sets of data. Nevertheless, there are some packages that allow to treat larger volumes and the best solution is to connect R with a Big Data environment. This … Continue reading →
Ryan Sheftel: "R on the Trading Desk"
by Joseph Rickert In a post last week, I offered some first impressions about R/Finance 2013. Apparently, I was way off in estimating that 30% of the attendees were academics. The R/Finance organizers were quick to point out that percentage of academics attending the conference has been a constant 10% over the years; and this year was no different....
Stepping up to Big Data with R and Python: A Mind Map of All the Packages You Will Ever Need
On May 8, we kicked off the transformation of R Users DC to Statistical Programming DC (SPDC) with a meetup at iStrategyLabs in Dupont Circle. The meetup, titled “Stepping up to big data with R and Python,” was an … Continue reading →
The post Stepping up to Big Data with R and Python: A Mind Map...
Sentiment analysis finds trouble in the Enron emails
The Enron email dataset, collected during the FERC investigation of the Enron financial scandal, represents the largest publicly available set of emails. This makes theman ideal testbed for sentiment analysis algorithms. Ikanow's Andrew Strite used the open-source Infinit.e framework and a Hadoop cluster to generate sentiment scores for all of the Enron emails, and then used R to manipulate...
Big Data Analytics in R – the tORCH has been lit!
Revolution Newsletter: May 2013
The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full May edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Gaming Analytics FTW! Join us on 13Jun13 at 10:00 AM PDT for our webinar...
Innovation Will Never Be At The Push Of A Button
@randyzwitch @benjamingaines @usujason I am envisioning the data science equivalent of an autonomous vehicle pileup. — Todd Belcher (@toddmetrics) May 16, 2013 Recently, I’ve been getting my blood pressure up reading (marketing) articles about “big data” and “data science”. What saddens me about the whole discussion is that there is the underlying premise that
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
