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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

https://public.opencpu.org/userapps/opencpu/opencpu.demo/runcode/

Jeff Horner’s

http://rapache.net/

Jerooen Oom’s

Revolution Webinar Series #Rstats

Revolution Analytics Webinar-

 

Featured Webinar
David Champagne REGISTER NOW
Presenter David Champagne
CTO, Revolution Analytics
Date Tuesday, December 20th
Time 11:00AM – 11:30AM Pacific 
Click here for the webinar time in your local time zone

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.

 

Upcoming Webinars
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.
 Archived Webinars-
Revolution Webinar: New Features in Revolution R Enterprise 5.0 (including RevoScaleR) to Support Scalable Data AnalysisRevolution R Enterprise 5.0 is Revolution Analytics’ scalable analytics platform.  At its core is Revolution Analytics’ enhanced Distribution of R, the world’s most widely-used project for statistical computing.  In this webinar, Dr. Ranney will discuss new features and show examples of the new functionality, which extend the platform’s usability, integration and scalability

 

Google Webinar on Web Analytics

Google webinar on web analytics-

recommended for anyone with anything to do with the WWW

From

http://analytics.blogspot.com/2011/11/webinar-reaching-your-goals-with.html

 

Webinar: Reaching Your Goals with Analytics

 

 

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!

Webinar: Using R within Oracle #rstats

Webinar: Using R within Oracle — Nov 30, noon EST

==========================================
Oracle now supports the R open source statistical programming language. Come to this webinar to learn more about using R within an Oracle environment.

– URL for TechCast: https://stbeehive.oracle.com/bconf/confDetails?confID=334B:3BF0:owch:38893C00F42F38A1E0404498C8A6612B0004075AECF7&guest=true&confKey=608880
– Web Conference ID: 303397
– Web Conference Key: 608880
– Dialup:             1-866-682-4770      , ID 5548204, passcode 1234

After a steady rise in the past few years, in 2010 the open source data mining software R overtook other tools to become the tool used by more data miners (43%) than any other (http://www.rexeranalytics.com/Data-Miner-Survey-Results-2010.html).

Several analytic tool vendors have added R-integration to their software. However, Oracle is the largest company to throw their weight behind R. On October 3, Oracle unveiled their integration of R: Oracle R Enterprise (http://www.oracle.com/us/corporate/features/features-oracle-r-enterprise-498732.html) as part of their Oracle Big Data Appliance announcement (http://www.oracle.com/us/corporate/press/512001).

Oracle R Enterprise allows users to perform statistical analysis with advanced visualization on data stored in Oracle Database. Oracle R Enterprise enables scalable R solutions, while facilitating production deployment of R scripts and Hadoop based solutions, as well as integration of R results with Oracle BI Publisher and OBIEE dashboards.

This TechCast introduces the various Oracle R Enterprise components and features, along with R script demonstrations that interface with Oracle Database.

TechCast presenter: Mark Hornick, Senior Manager, Oracle Advanced Analytics Development.
This TechCast is part of the ongoing TechCasts series coordinated by Oracle BIWA: The BI, Warehousing and Analytics SIG (http://www.oracleBIWA.org).

Jaspersoft releasing new version – 4.2

Jaspersoft is planning to launch its version 4.2 to the world.

http://www.jaspersoft.com/event/upcoming-webinar-introducing-jaspersoft-42?elq=c0e7a97601f84a8399b1abc5cc84bbe5

Upcoming Webinar: Introducing Jaspersoft 4.2

Webinar

Date: September 29, 2011
Time: 10:00 AM PT/1:00 PM ET
Duration: 60 minutes
Language: English

Whether your building business intelligence (BI) solutions for your organization or for your customers, one thing is likely: your users want access to information anytime, anywhere. The challenge is getting the right information, to the right person, on the right device, without breaking your budget.

You can see precisely what we mean at the Jaspersoft 4.2 launch webinar on Thursday, September 29th.

Join us and see how Jaspersoft 4.2 can deliver superior choice for organizations looking to deliver information to end users, wherever they are.  Jaspersoft is focused on providing modern, usable, affordable BI for everyone.
●      Discover the new product capabilities that will improve BI access for your users
●      See Jaspersoft 4.2 live demos
●      Join Japersoft experts and fellow technology professionals in a real-time, interactive discussion.

Register to reserve your seat, today!

Revolution #Rstats Webinar

David Smith of Revo presents a nice webinar on the capabilities and abilities of Revolution R- if you are R curious and wonder how the commercial version has matured- you may want to take a look.

click below to view an executive Webinar

——————————————————————————————-

Revolution R Enterprise—presented by author and blogger David Smith:

Revolution R: 100% R and More
On-Demand Webinar

This Webinar covers how R users can upgrade to:

  • Multi-processor speed improvements and parallel processing
  • Productivity and debugging with an integrated development environment (IDE) for the R language
  • “Big Data” analysis, with out-of-memory storage of multi-gigabyte data sets
  • Web Services for R, to integrate R computations and graphics into 3rd-Party applications like Excel and BI Dashboards
  • Expert technical support and consulting services for R

This webinar will be of value to current R users who want to learn more about the additional capabilities of Revolution R Enterprise to enhance the productivity, ease of use, and enterprise readiness of open source R. R users in academia will also find this webinar valuable: we will explain how all members of the academic community can obtain Revolution R Enterprise free of charge.

—————————————————————————————

contact -1-855-GET-REVO or via online form.
info@revolutionanalytics.com | (650) 330-0553 | Twitter @RevolutionR

Why open source companies dont dance?

I have been pondering on this seemingly logical paradox for some time now-

1) Why are open source solutions considered technically better but not customer friendly.

2) Why do startups and app creators in social media or mobile get much more press coverage than

profitable startups in enterprise software.

3) How does tech journalism differ in covering open source projects in enterprise versus retail software.

4) What are the hidden rules of the game of enterprise software.

Some observations-

1) Open source companies often focus much more on technical community management and crowd sourcing code. Traditional software companies focus much more on managing the marketing community of customers and influencers. Accordingly the balance of power is skewed in favor of techies and R and D in open source companies, and in favor of marketing and analyst relations in traditional software companies.

Traditional companies also spend much more on hiring top notch press release/public relationship agencies, while open source companies are both financially and sometimes ideologically opposed to older methods of marketing software. The reverse of this is you are much more likely to see Videos and Tutorials by an open source company than a traditional company. You can compare the websites of ClouderaDataStax, Hadapt ,Appistry and Mapr and contrast that with Teradata or Oracle (which has a much bigger and much more different marketing strategy.

Social media for marketing is also more efficiently utilized by smaller companies (open source) while bigger companies continue to pay influential analysts for expensive white papers that help present the brand.

Lack of budgets is a major factor that limits access to influential marketing for open source companies particularly in enterprise software.

2 and 3) Retail software is priced at 2-100$ and sells by volume. Accordingly technology coverage of these software is based on volume.

Enterprise software is much more expensively priced and has much more discreet volume or sales points. Accordingly the technology coverage of enterprise software is more discreet, in terms of a white paper coming every quarter, a webinar every month and a press release every week. Retail software is covered non stop , but these journalists typically do not charge for “briefings”.

Journalists covering retail software generally earn money by ads or hosting conferences. So they have an interest in covering new stuff or interesting disruptive stuff. Journalists or analysts covering enterprise software generally earn money by white papers, webinars, attending than hosting conferences, writing books. They thus have a much stronger economic incentive to cover existing landscape and technologies than smaller startups.

4) What are the hidden rules of the game of enterprise software.

  • It is mostly a white man’s world. this can be proved by statistical demographic analysis
  • There is incestuous intermingling between influencers, marketers, and PR people. This can be proved by simple social network analysis of who talks to who and how much. A simple time series between sponsorship and analysts coverage also will prove this (I am working on quantifying this ).
  • There are much larger switching costs to enterprise software than retail software. This leads to legacy shoddy software getting much chances than would have been allowed in an efficient marketplace.
  • Enterprise software is a less efficient marketplace than retail software in all definitions of the term “efficient markets”
  • Cloud computing, and SaaS and Open source threatens to disrupt the jobs and careers of a large number of people. In the long term, they will create many more jobs, but in the short term, people used to comfortable living of enterprise software (making,selling,or writing) will actively and passively resist these changes to the  paradigms in the current software status quo.
  • Open source companies dont dance and dont play ball. They prefer to hire 4 more college grads than commission 2 more white papers.

and the following with slight changes from a comment I made on a fellow blog-

  • While the paradigm on how to create new software has evolved from primarily silo-driven R and D departments to a broader collaborative effort, the biggest drawback is software marketing has not evolved.
  • If you want your own version of the open source community editions to be more popular, some standardization is necessary for the corporate decision makers, and we need better marketing paradigms.
  • While code creation is crowdsourced, solution implementation cannot be crowdsourced. Customers want solutions to a problem not code.
  • Just as open source as a production and licensing paradigm threatens to disrupt enterprise software, it will lead to newer ways to marketing software given the hostility of existing status quo.

 

 

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