Hadoop MapReduce v2 Cookbook - Second Edition

by Thilina Gunarathne

Overview

• Process large and complex datasets using next generation Hadoop

• Install, configure, and administer MapReduce programs and learn what's new in MapReduce v2

• More than 90 Hadoop MapReduce recipes presented in a simple and straightforward manner, with step-by-step instructions and real-world examples

If you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working knowledge of Linux.

Product Details

ISBN-13:	9781783285488
Publisher:	Packt Publishing
Publication date:	02/25/2015
Sold by:	Barnes & Noble
Format:	eBook
Pages:	322
File size:	4 MB

About the Author

Thilina Gunarathne is a senior data scientist at KPMG LLP. He led the Hadoop-related efforts at Link Analytics before its acquisition by KPMG LLP. He has extensive experience in using Apache Hadoop and its related technologies for large-scale data-intensive computations. He coauthored the first edition of this book, Hadoop MapReduce Cookbook, with Dr. Srinath Perera.
Thilina has contributed to several open source projects at Apache Software Foundation as a member, committer, and a PMC member. He has also published many peer-reviewed research articles on how to extend the MapReduce model to perform efficient data mining and data analytics computations in the cloud. Thilina received his PhD and MSc degrees in computer science from Indiana University, Bloomington, USA, and received his bachelor of science degree in computer science and engineering from University of Moratuwa, Sri Lanka.