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

HBase with R

The Apache HBase database allows users to store and process non-relational data on top of HDFS. Inspired by Google's BigTable, HBase is an open source, distributed, consistent, and scalable database that facilitates real-time read and write access to massive amounts of data. It is in fact a columnar or key-column-value data store that lacks any default schema and can be defined by users at any time.

The following tutorial will present a sequence of essential activities that will allow you to import our previously used Land Registry Price Paid Data into the HBase store on the Microsoft Azure HDInsight cluster and then retrieve specific slices of data using RStudio Server.

Azure HDInsight with HBase and RStudio Server

The process of launching the fully operational Microsoft Azure HDInsight cluster with HBase database is very similar to the one described in Chapter 4, Hadoop and MapReduce Framework for R, where we guided you through the creation of a multi-node HDInsight Hadoop cluster...