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R Data Analysis Cookbook - Second Edition by Kuntal Ganguly

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Introduction

R is a popular statistical programming language with wide range of extensions/packages that support data processing and machine learning tasks. However, data analysis in R is often limited by two main factors:

  • Single threaded runtime environment: This often increasing the processing and makes your data analysis slow.
  • Limitation of single machine’s memory: When accessing data stored in a data.frame or CSV file or any other format in R, the entire data must all fit in memory and this becomes a bottleneck when using a large dataset.

In this chapter, we will discuss how to overcome the two major pain points of R stated earlier by accessing data from datastore (MySql and MongoDB) or running analysis on distributed system with Apache ...

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