Book Image

Big Data Analytics with R and Hadoop

By : Vignesh Prajapati
Book Image

Big Data Analytics with R and Hadoop

By: Vignesh Prajapati

Overview of this book

<p>Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. New methods of working with big data, such as Hadoop and MapReduce, offer alternatives to traditional data warehousing. <br /><br />Big Data Analytics with R and Hadoop is focused on the techniques of integrating R and Hadoop by various tools such as RHIPE and RHadoop. A powerful data analytics engine can be built, which can process analytics algorithms over a large scale dataset in a scalable manner. This can be implemented through data analytics operations of R, MapReduce, and HDFS of Hadoop.<br /><br />You will start with the installation and configuration of R and Hadoop. Next, you will discover information on various practical data analytics examples with R and Hadoop. Finally, you will learn how to import/export from various data sources to R. Big Data Analytics with R and Hadoop will also give you an easy understanding of the R and Hadoop connectors RHIPE, RHadoop, and Hadoop streaming.</p>
Table of Contents (16 chapters)
Big Data Analytics with R and Hadoop
Credits
About the Author
Acknowledgment
About the Reviewers
www.PacktPub.com
Preface
Index

Acknowledgment

First and foremost, I would like to thank my loving parents and younger brother Vaibhav for standing beside me throughout my career as well as while writing this book. Without their support it would have been totally impossible to achieve this knowledge sharing. As I started writing this book, I was continuously motivated by my father (Prahlad Prajapati) and regularly followed up by my mother (Dharmistha Prajapati). Also, thanks to my friends for encouraging me to initiate writing for big technologies such as Hadoop and R.

During this writing period I went through some critical phases of my life, which were challenging for me at all times. I am grateful to Ravi Pathak, CEO and founder at Tatvic, who introduced me to this vast field of Machine learning and Big Data and helped me realize my potential. And yes, I can't forget James, Wendell, and Mandar from Packt Publishing for their valuable support, motivation, and guidance to achieve these heights. Special thanks to them for filling up the communication gap on the technical and graphical sections of this book.

Thanks to Big Data and Machine learning. Finally a big thanks to God, you have given me the power to believe in myself and pursue my dreams. I could never have done this without the faith I have in you, the Almighty.

Let us go forward together into the future of Big Data analytics.