Revolution Webinar: New Features in Revolution R Enterprise 5.0 (including RevoScaleR) to Support Scalable Data Analysis
| Presented: | Thursday, November 17th, 2011 |
| Presenter: | Sue Ranney, VP of Product Development, Revolution Analytics |
Download the webinar presentation and view the webinar replay. |
Revolution 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. We’ll discuss the following basic use cases:
- “I don’t have big data.” Why use Revolution R Enterprise 5.0 to get started?
- Easy to get started; consistent interface for “start-to-finish” data analysis with functions for data import (text, SAS, SPSS, ODBC), data transformations & manipulation, and basic data analysis - all with guidance from the R Productivity Environment.
- Performance gains for analyzing in-memory data sets
- Easy to get started; consistent interface for “start-to-finish” data analysis with functions for data import (text, SAS, SPSS, ODBC), data transformations & manipulation, and basic data analysis - all with guidance from the R Productivity Environment.
- “I don’t have big hardware.” Big data on your desktop.
- Data sets with 100-million observations and many variables can be easily processed on your desktop using Revolution R Enterprise 5.0
- Avoid getting locked into memory-bound analyses.
- Data sets with 100-million observations and many variables can be easily processed on your desktop using Revolution R Enterprise 5.0
- “I have big data, and need to be ready for tomorrow’s even bigger data.” Scaling data analysis to a cluster.
- “I need to write my own scalable analyses.” Creating your own scalable R extensions.
Presenter Bio
Sue Ranney oversees Revolution Analytics' product planning and execution throughout the product lifecycle. She was co-founder of ExaMetrix, the producer of the ExaStat open source environment for analyzing huge data sets. Ranney also served as vice president of development for the data analysis products division at MathSoft (now TIBCO Software), where she co-managed S-Plus releases, and was the co-founder of TriMetrix —the creators of the Axum technical graphics and data analysis package. She holds a Ph.D. from the University of Wisconsin.