Revolution Analytics has of course had RevoDeployR, and in a webinar strive to bring it back to center spotlight.
BI is a good lucrative market, and visualization is a strength in R, so it is matter of time before we have more R based BI solutions. I really liked the two slides below for explaining RevoDeployR better to newbies like me (and many others!)
Integrating R into 3rd party and Web applications using RevoDeployR
Please click here to download the PDF.
Here are some additional links that may be of interest to you:
( I still think someone should make a commercial version of Jeroen Oom’s web interfaces and Jeff Horner’s web infrastructure (see below) for making customized Business Intelligence (BI) /Data Visualization solutions , UCLA and Vanderbilt are not exactly Stanford when it comes to deploying great academic solutions in the startup-tech world). I kind of think Google or someone at Revolution should atleast dekko OpenCPU as a credible cloud solution in R.
I still cant figure out whether Revolution Analytics has a cloud computing strategy and Google seems to be working mysteriously as usual in broadening access to the Google Compute Cloud to the rest of R Community.
Open CPU provides a free and open platform for statistical computing in the cloud. It is meant as an open, social analysis environment where people can share and run R functions and objects. For more details, visit the websit: www.opencpu.org
and esp see
Revolution Analytics Webinar-
Big Data Starts with R
Traditional IT infrastructure is simply unable to meet
the demands of the new “Big Data Analytics” landscape. Many enterprises are turning to the “R” statistical programming language and Hadoop (both open source projects) as a potential solution. This webinar will introduce the statistical capabilities of R within the Hadoop ecosystem. We’ll cover:
- An introduction to new packages developed by Revolution Analytics to facilitate interaction with the data stores HDFS and HBase so that they can be leveraged from the R environment
- An overview of how to write Map Reduce jobs in R using Hadoop
- Special considerations that need to be made when working with R and Hadoop.
We’ll also provide additional resources that are available to people interested in integrating R and Hadoop.
|Wed, Dec 14th
11:00AM – 11:30AM PT
|Revolution R Enterprise – 100% R and MoreR users already know why the R language is the lingua franca of statisticians today: because it’s the most powerful statistical language in the world. Revolution Analytics builds on the power of open source R, and adds performance, productivity and integration features to create Revolution R Enterprise. In this webinar, author and blogger David Smith will introduce the additional capabilities of Revolution R Enterprise.
Google webinar on web analytics-
recommended for anyone with anything to do with the WWW
Is your website performing as well as it could be? Do you want to get more out of your digital marketing campaigns, including AdWords and other digital media? Do you feel like you have gaps in your current Google Analytics setup?
We’ve heard from many of our users who want to go deeper into their Analytics — with so much data, it can be hard to know where to look first. If you’d like to move beyond standard “pageview” metrics and visitor statistics, then please join us next Thursday:
Webinar: Reaching Your Goals with Analytics
Date: Thursday, December 1
Time: 11am PST / 2pm EST
Sign up here!
During the webinar, we’ll cover:
- Key questions to ask for richer insights from your data
- How to define “success” (for websites, visitors, or campaigns)
- How to set up and use Goals
- How to set up and use Ecommerce (for websites with a shopping cart)
- How to link AdWords to your Google Analytics account
Whatever your online business model — shopping, lead-generation, or pure content — these tools will deliver actionable insights into your buying cycle.
This webinar will be led by Joe Larkin, a technical specialist on the Google Analytics team, and it’s designed for intermediate users of Google Analytics. If you’re comfortable with the basics, but you’d like to do more with your data, then we hope you’ll join us next week!