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Revolution Newsletters Issue 50 April 2014


Big Data eBook: Harnessing The Power Of Big Data Through Education And Data-Driven Decision Making


Revolution R Enterprise: Faster Than SAS


Revolution Analytics Positioned in the “Visionaries” Quadrant of the First Ever Gartner Magic Quadrant for Advanced Analytics Platforms

News Story

Decision Trees built in Hadoop plus more Big Data Analytics with Revolution R Enterprise


Welcome to the April 2014 Newsletter. New white paper, webinars and a bunch of regional events with our partners, Alteryx and Cloudera. Have you downloaded the new Big Data ebook that we sponsored with Big Data Journal? It's going to be a busy spring so let's get to it.

Download the Big Data eBook. Contents include:
- Data Science and Its Relationship to Big Data and Data-Driven Decision Making
- Predictive Modeling With Big Data Is Bigger Really Better
- Educating the Next Generation of Data Scientists
- Delivering Value from Big Data with Revolution R Enterprise and Hadoop

In analytics, speed matters. How much? We asked the director of analytics from a leading U.S. marketing services provider, a Revolution Analytics customer. Her team supports more than 1,000 predictive models currently in production; her clients expect the team to build a predictive model in 30 minutes or less. In this white paper, we’ll report on the approach we used for the test, together with detailed results.

Revolution Analytics, the only commercial provider of open source R software, today announced it has been positioned by Gartner Inc. in the “Visionaries” quadrant of the first ever “Magic Quadrant for Advanced Analytics Platforms”. The report evaluated 16 vendors through a series of stringent criteria related to the ability to execute and completeness of vision.

Fully featured, commercially supported machine learning suites that can build Decision Trees in Hadoop are few and far between. Addressing this gap, Revolution Analytics recently enhanced its entire scalable analytics suite to run in Hadoop. In this talk, I will explain how our Decision Tree implementation exploits recent research reducing the computational complexity of decision tree estimation, allowing linear scalability with data size and number of nodes.

What is R?

R is world’s most widely used statistics programming language. It's the # 1 choice of data scientists and supported by a vibrant and talented community of contributors. R is taught in universities and deployed in mission critical business applications.

R in Business

Your data is a valuable asset. Putting R at the heart of your data architecture gives you the power to create market changing insights and power greater returns on your data investments. Get started today and win more and better business.

RRE Software

It’s time to supercharge your data analytics. Revolution R Enterprise 7 gets results faster while handling bigger, more complex data sets. Now, you can deliver actionable intelligence where it’s needed, when it’s needed.