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Scalable Data Analysis in R


Lee Edlefsen, Ph.D., Chief Scientist, Revolution Analytics

R is the ideal platform for scalable data analysis software. It is easy to add new functionality in the R environment, and easy to integrate it into existing functionality. R is also powerful, flexible and forgiving.
In this webinar, Dr. Edlefsen will discuss the approach to scalability Revolution Analytics has taken with its RevoScaleR package.   He will discuss this approach from the point of view of:

  • Storing data on disk
  • Importing data from other sources
  • Reading and writing of chunks of data
  • Handling data in memory
  • Using multiple cores on single computers
  • Using multiple computers
  • Automatically parallelizing "external memory" algorithms

View the presentation on SlideShare.

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