How does the distributed computing functionality in RevoScaleR differ from MapReduce?
Both RevoScaleR and MapReduce provide a framework for analyzing large data sets in R. RevoScaleR provides large data computing independent of whether you are working on a cluster; it contains external memory algorithms that process the data in chunks. Beginning with Revolution R Enterprise 5.0, RevoScaleR also provides a framework that allows one to use resources on an artibrary set of nodes on a cluster with any standard R function.
QA: Comparing RevoScaleR and MapReduce
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