Mastering Hadoop
暫譯: 精通Hadoop

About This Book

• 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

Who This Book Is For

Do you want to broaden your Hadoop skill set and take your knowledge to the next level? Do you wish to enhance your knowledge of Hadoop to solve challenging data processing problems? Are your Hadoop jobs, Pig scripts, or Hive queries not working as fast as you intend? Are you looking to understand the benefits of upgrading Hadoop? If the answer is yes to any of these, this book is for you. It assumes novice-level familiarity with Hadoop.

What You Will Learn

• Understand the changes involved in the process in the move from Hadoop 1.0 to Hadoop 2.0
• Customize and optimize MapReduce jobs in Hadoop 2.0
• Explore Hadoop I/O and different data formats
• Dive into YARN and Storm and use YARN to integrate Storm with Hadoop
• Deploy Hadoop on Amazon Elastic MapReduce
• Discover HDFS replacements and learn about HDFS Federation
• Get to grips with Hadoop's main security aspects
• Utilize Mahout and RHadoop for Hadoop analytics

In Detail

Hadoop is synonymous with Big Data processing. Its simple programming model, "code once and deploy at any scale" paradigm, and an ever-growing ecosystem makes Hadoop an all-encompassing platform for programmers with different levels of expertise.

This book explores the industry guidelines to optimize MapReduce jobs and higher-level abstractions such as Pig and Hive in Hadoop 2.0. Then, it dives deep into Hadoop 2.0 specific features such as YARN and HDFS Federation.

This book is a step-by-step guide that focuses on advanced Hadoop concepts and aims to take your Hadoop knowledge and skill set to the next level. The data processing flow dictates the order of the concepts in each chapter, and each chapter is illustrated with code fragments or schematic diagrams.