Book Image

Big Data Analytics with R

By : Simon Walkowiak
Book Image

Big Data Analytics with R

By: Simon Walkowiak

Overview of this book

Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing. The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O.
Table of Contents (16 chapters)
Big Data Analytics with R
About the Author
About the Reviewers

MariaDB with R on a Amazon EC2 instance

In Online Chapter, Pushing R Further (, apart from creating a Linux Ubuntu virtual machine with RStudio Server on Microsoft Azure, we have also launched an Amazon Linux EC2 instance. In this section we will deploy an Ubuntu instance with RStudio Server, but this time on Amazon EC2.

Preparing the EC2 instance and RStudio Server for use

The good news is that you should already know how to do this. Initially, simply follow steps 1 through 13 of the section on Creating your first Amazon EC2 instance from Online Chapter, Pushing R Further ( Choose a Free Usage Tier Linux Ubuntu instance and (in step 6) create your new key pair with a distinct name, for example rstudio_mariadb.pem. Also in the same step (step 6), add another custom TCP rule for port 3306. This will allow connectivity...