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R High Performance Programming

R High Performance Programming

By : Aloysius Shao Qin Lim, Tjhi W Chandra
4.4 (14)
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R High Performance Programming

R High Performance Programming

4.4 (14)
By: Aloysius Shao Qin Lim, Tjhi W Chandra

Overview of this book

This book is for programmers and developers who want to improve the performance of their R programs by making them run faster with large data sets or who are trying to solve a pesky performance problem.
Table of Contents (12 chapters)
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11
Index

Setting up Hadoop on Amazon Web Services

There are many ways to set up a Hadoop cluster. We can install Hadoop on a single server in pseudo-distributed mode to simulate a cluster, or on an actual cluster of servers, or virtual machines in fully distributed mode. There are also several distributions of Hadoop available from the vanilla open source version provided by the Apache Foundation to commercial distributions such as Cloudera, Hortonworks, and MapR. Covering all the different ways of setting up Hadoop is beyond the scope of this book. We instead provide instructions for one way to set up Hadoop and other relevant tools for the purpose of the examples in this chapter. If you are using an existing Hadoop cluster or setting up one in a different way, you might have to modify some of the steps.

Note

Because Hadoop and its associated tools are mostly developed for Linux/Unix based operating systems, the code in this chapter will probably not work on Windows. If you are a Windows user, follow...

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