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Revolution Analytics and Pricing Analytics

Cost of 1 day of Revolution Analytics Training at http://www.revolutionanalytics.com/services/training/


1. Intro to R

Price:  Commercial: SGD$500.00

1 Singapore dollar = 0.8197 US dollars

10% Early Bird Discount Deadline: November 13, 2012 @ 12:00PM Pacific Time
Discount code: earlybird

2. (aptly titled Minimalistic Sufficient R…you think the ricing would be minimalistic.. but)




$100 Early Bird Discount Deadline: November 16, 2012 @ 12:00PM Pacific Time
Discount code: earlybird


Advanced R (Italian)

Price:  Commercial: €680.00
Academic: €480.00

1 euro = 1.2975 US dollars


Big Data AnalyticS with RevoScaleR

Price:  $500 with 2 month Revolution R Enterprise workstation evaluation.

$700 with 1 year subscription of Revolution R enterprise workstation ($1500 value)

10% Early Bird Discount Deadline: October 30, 2012 @ 12:00PM Pacific Time
Discount code: early


Revolution R Time Series Training

Price:  Commercial: S$1,200.00

10% Early Bird Discount Deadline: October 30, 2012 @ 12:00PM Pacific Time
Discount code: earlybird

so training costs differently different strokes for different folks I guess,

BUT me hearties.

Cost of 1 year of Revolution Enterprise= $1000

Thats a flat rate, so the Linux and Windows costs the same and so does the 32-bit and 64-bit

(see http://buy.revolutionanalytics.com/ )

( My comment- either Revo should give away the license for free to enterprises, rationalize training costs, seriously how can 2 days of training cost like a 1 year of license and the software is definitely quite good., or create a paid Amazon Ec 2 AMI for enterprises to rent the Revolution Analytics software (like SAP Hana ), or even on Windows Azure if they insist on hugging Microsoft, though I am clearly seeing various flavors of Linux beating Windows Server to a pulp in the Big Data market, though I am probably more optimistic on the Windows 8 on Surface but because of hardware not software/ Azure alternative to Amazon given Google’s delayed offering- I dont even know many many instance of Windows related HPC or HPA,  (/end_of_rant)

Annual Subscription
Includes software license and technical support
Price Quantity Total
Revolution R Enterprise Single-User Workstation (64-bit Windows) $1,000.00 $0.00
Revolution R Enterprise Single-User Workstation (32-bit Windows) $1,000.00 $0.00
Revolution R Enterprise Single-User Workstation (64-bit Red Hat 6 Enterprise Linux) $1,000.00 $0.00
Revolution R Enterprise Single-User Workstation (64-bit Red Hat 5 Enterprise Linux) $1,000.00 $0.00


Online Education- MongoDB and Oracle R Enterprise

I really liked the course developed by 10 gen for MongoDB (there are two tracks for Developers and DBAs at https://education.10gen.com/)

The interface is very nice and is a step upwards from Coursera’s ( https://www.coursera.org/) pioneering work (and even http://www.codecademy.com/#!/exercises/0 )- each video has a small question, the videos are not cluttered, and the voice and transcription quality is impeccable. Lastly a certification for people who clear 65% acts as an academic incentive, they get a certificate.

yes it is free.


Oracle recently launched a series of nicely made R tutorials at https://apex.oracle.com/pls/apex/f?p=44785:24:0::NO::P24_CONTENT_ID,P24_PREV_PAGE:6528,1but I wish Oracle R had some certifications too!

If only more techie companies like SAS Institute (expensive SAS training), IBM (cluttered website), Revolution Analytics (expensive partners in Certification), Google (unpolished Python lectures)

put an effort with polished e-learning interfaces than be dependent on external partners…..or internal gurus…interfaces matter especially in education.

\Well Anyways!!

Happy Mongo DBing/ Oracle R!


JMP Student Edition

I really liked the initiatives at JMP/Academic. Not only they offer the software bundled with a textbook, which is both good common sense as well as business sense given how fast students can get confused

(Rant 1 Bundling with textbooks is something I think is Revolution Analytics should think of doing instead of just offering the academic  version for free downloading- it would be interesting to see the penetration of R academic market with Revolution’s version and the open source version with the existing strategy)

From http://www.jmp.com/academic/textbooks.shtml

Major publishers of introductory statistics textbooks offer a 12-month license to JMP Student Edition, a streamlined version of JMP, with their textbooks.

and a glance through this http://www.jmp.com/academic/pdf/jmp_se_comparison.pdf  shows it is a credible and not extremely whittled down version which would be just dishonest.

And I loved this Reference Card at http://www.jmp.com/academic/pdf/jmp10_se_quick_guide.pdf


Oracle, SAP- Hana, Revolution Analytics and even SAS/STAT itself can make more reference cards like this- elegant solutions for students and new learners!

More- creative-rants Honestly why do corporate sites use PDFs anymore when they can use Instapaper , or any of these SlideShare/Scribd formats to show information in a better way without diverting the user from the main webpage.

But I digress, back to JMP


Resources for Faculty Using JMP® Student Edition

Faculty who select a JMP Student Edition bundle for their courses may be eligible for additional resources, including course materials and training.

Special JMP® Student Edition for AP Statistics

JMP Student Edition is available in a convenient five-year license for qualified Advanced Placement statistics programs.

Try and have a look yourself at http://www.jmp.com/academic/student.shtml




RevoDeployR and commercial BI using R and R based cloud computing using Open CPU

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


Jeff Horner’s


Jerooen Oom’s

Online Education takes off

Udacity is a smaller player but welcome competition to Coursera. I think companies that have on demand learning programs should consider donating a course to these online education players (like SAS Institute for SAS , Revolution Analytics for R, SAP, Oracle for in-memory analytics etc)

Any takers!



Coursera  is doing a superb job with huge number of free courses from notable professors. 111 courses!

I am of course partial to the 7 courses that are related to my field-




Teradata Analytics

A recent announcement showing Teradata partnering with KXEN and Revolution Analytics for Teradata Analytics.


The Latest in Open Source Emerging Software Technologies
Teradata provides customers with two additional open source technologies – “R” technology from Revolution Analytics for analytics and GeoServer technology for spatial data offered by the OpenGeo organization – both of which are able to leverage the power of Teradata in-database processing for faster, smarter answers to business questions.

In addition to the existing world-class analytic partners, Teradata supports the use of the evolving “R” technology, an open source language for statistical computing and graphics. “R” technology is gaining popularity with data scientists who are exploiting its new and innovative capabilities, which are not readily available. The enhanced “R add-on for Teradata” has a 50 percent performance improvement, it is easier to use, and its capabilities support large data analytics. Users can quickly profile, explore, and analyze larger quantities of data directly in the Teradata Database to deliver faster answers by leveraging embedded analytics.

Teradata has partnered with Revolution Analytics, the leading commercial provider of “R” technology, because of customer interest in high-performing R applications that deliver superior performance for large-scale data. “Our innovative customers understand that big data analytics takes a smart approach to the entire infrastructure and we will enable them to differentiate their business in a cost-effective way,” said David Rich, chief executive officer, Revolution Analytics. “We are excited to partner with Teradata, because we see great affinity between Teradata and Revolution Analytics – we embrace parallel computing and the high performance offered by multi-core and multi-processor hardware.”


The Teradata Data Lab empowers business users and leading analytic partners to start building new analytics in less than five minutes, as compared to waiting several weeks for the IT department’s assistance.

“The Data Lab within the Teradata database provides the perfect foundation to enable self-service predictive analytics with KXEN InfiniteInsight,” said John Ball, chief executive officer, KXEN. “Teradata technologies, combined with KXEN’s automated modeling capabilities and in-database scoring, put the power of predictive analytics and data mining directly into the hands of business users. This powerful combination helps our joint customers accelerate insight by delivering top-quality models in orders of magnitude faster than traditional approaches.”



2011 Analytics Recap

Events in the field of data that impacted us in 2011

1) Oracle unveiled plans for R Enterprise. This is one of the strongest statements of its focus on in-database analytics. Oracle also unveiled plans for a Public Cloud

2) SAS Institute released version 9.3 , a major analytics software in industry use.

3) IBM acquired many companies in analytics and high tech. Again.However the expected benefits from Cognos-SPSS integration are yet to show a spectacular change in market share.

2011 Selected acquisitions

Emptoris Inc. December 2011

Cúram Software Ltd. December 2011

DemandTec December 2011

Platform Computing October 2011

 Q1 Labs October 2011

Algorithmics September 2011

 i2 August 2011

Tririga March 2011


4) SAP promised a lot with SAP HANA- again no major oohs and ahs in terms of market share fluctuations within analytics.


5) Amazon continued to lower prices of cloud computing and offer more options.


6) Google continues to dilly -dally with its analytics and cloud based APIs. I do not expect all the APIs in the Google APIs suit to survive and be viable in the enterprise software space.  This includes Google Cloud Storage, Cloud SQL, Prediction API at https://code.google.com/apis/console/b/0/ Some of the location based , translation based APIs may have interesting spin offs that may be very very commercially lucrative.

7) Microsoft -did- hmm- I forgot. Except for its investment in Revolution Analytics round 1 many seasons ago- very little excitement has come from MS plans in data mining- The plugins for cloud based data mining from Excel remain promising yet , while Azure remains a stealth mode starter.

8) Revolution Analytics promised us a GUI and didnt deliver (till yet :) ) . But it did reveal a much better Enterprise software Revolution R 5.0 is one of the strongest enterprise software in the R /Stat Computing space and R’s memory handling problem is now an issue of perception than actual stuff thanks to newer advances in how it is used.

9) More conferences, more books and more news on analytics startups in 2011. Big Data analytics remained a strong buzzword. Expect more from this space including creative uses of Hadoop based infrastructure.

10) Data privacy issues continue to hamper and impede effective analytics usage. So does rational and balanced regulation in some of the most advanced economies. We expect more regulation and better guidelines in 2012.


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