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R is a popular statistical programming language with a number of extensions that support data processing and machine learning tasks. However, interactive data analysis in R is usually limited as the R runtime is single threaded and can only process data sets that fit in a single machine's memory. We present SparkR, an R package that provides a frontend to Apache Spark and uses Spark's distributed computation engine to enable large scale data analysis from the R shell. We describe the main
doi:10.1145/2882903.2903740
dblp:conf/sigmod/VenkataramanYLL16
fatcat:inpgt6bmmne43bgtkzzhjv7vxu