Mastering Hadoop: RAW

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Mastering Hadoop: RAW
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Table of Contents
Sample Chapters
  • Learn how to optimize Hadoop MapReduce, Pig and Hive
  • Dive into YARN and learn how it can integrate Storm with Hadoop
  • Understand how Hadoop can be deployed on the cloud and gain insights into analytics with Hadoop

Book Details

Language : English
Paperback : 398 pages [ 235mm x 191mm ]
Release Date : February 2015
ISBN : 1783983647
ISBN 13 : 9781783983643
Author(s) : Sandeep Karanth
Topics and Technologies : All Books, Big Data and Business Intelligence, Open Source, RAW books

Chapter Availability


Chapter Number Title Availability
1 Hadoop 2.X
2 Advanced MapReduce
3 Pig Optimizations IN THE BOOK
4 Hive Optimizations IN THE BOOK
5 Data Formats and Hadoop I/O
6 YARN: Bringing other paradigms to Hadoop
7 Storm on YARN – Low Lateny Processing in Hadoop JULY 2014
8 Hadoop on the Cloud AUGUST 2014
9 HDFS Replacements AUGUST 2014
10 HDFS Federation SEPTEMBER 2014
11 Hadoop Security SEPTEMBER 2014
12 Analytics using Hadoop OCTOBER 2014
Deploying Hadoop on Microsoft Windows OCTOBER 2014

Sandeep Karanth

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What you will learn from this book

  • Optimize Hadoop MapReduce, Pig and Hive
  • Understand Hadoop I/O and different data formats
  • Dive into YARN and Storm and use YARN to integrate Storm with Hadoop
  • Learn how you can deploy Hadoop on Amazon’s Elastic MapReduce
  • Discover HDFS replacements and learn about HDFS Federation
  • Learn Hadoop’s main security aspects
  • Utilise Mahout and RHadoop for Hadoop analytics

In Detail

Apache Hadoop is a big data processing framework that allows large data sets to be stored and analysed across clusters of computers. Due to it’s ease of use and highly-available service, Hadoop is widely used by companies including Facebook, Ebay and Google for research and production purposes.

Learn to tame the elephant and master Hadoop with this comprehensive and invaluable guide to developing your Hadoop skills and knowledge.

Firstly this book will refresh your Hadoop knowledge and introduce you to the new enhancements that Hadoop 2 brings to the table. Next, we’ll walk you through optimizations with Hadoop MapReduce, Pig and Hive, before teaching you about the different data types available and Hadoop I/O. Next, YARN and Storm will be fully covered and you’ll learn how to use YARN to integrate Storm with Hadoop. HDFS Federation will also be covered in depth and with our chapter on HDFS replacements you will gain insights into why you may need a HDFS replacement and what you can use for this.
Additionally, you’ll learn how you can deploy Hadoop on the cloud, how to secure Hadoop and finally how to use analytics tools within the Hadoop ecosystem with a case study. As a useful bonus, you’ll find a practical walk through of deploying Hadoop on Microsoft Windows in the Appendix.


This book is currently available as a RAW (Read As we Write) book. A RAW book is an ebook, and this one is priced at 20% off the usual eBook price. Once you purchase the RAW book, you can immediately download the content of the book so far, and when new chapters become available, you will be notified, and  can download the new version of the book. When the book is published, you will receive the full, finished eBook.

If you like, you can preorder the print book at the same time as you purchase the RAW book at a significant discount.

Since a RAW book is an eBook, a RAW book is non returnable and non refundable.

Local taxes may apply to your eBook purchase.


This is an advanced tutorial which will enable you to master Hadoop, complete with plenty of examples, best practices and tips.

Who this book is for

This book is for you if you’re familiar with Hadoop and would like to know how you take your skills to the next level and build up your knowledge base.

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