SkillsCast
An example of a map/reduce algorithm using R and Hadoop
R has been described as 'a DSL for statistical analysis'. Hadoop is for LARGE scale computing. Between them, they can take on a number of interesting problems - once you get them to play together. Which is actually both easier and more accessible than you might think. In this demo I will solve a simple map/reduce problem in R, and run it on an Amazon EMR cluster.
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An example of a map/reduce algorithm using R and Hadoop
Anette Bergo
Anette is a consultant for ThoughtWorks where she builds people, teams, projects and occasionally a bit of code. She has worked in a number of different countries, industries and development stacks to solve all sorts of problems, but lately it has be