Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2 (Paperback)

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Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2 (Paperback)

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內容描述

“This book is a critically needed resource for the newly released Apache Hadoop 2.0, highlighting YARN as the significant breakthrough that broadens Hadoop beyond the MapReduce paradigm.”
—From the Foreword by Raymie Stata, CEO of Altiscale

The Insider’s Guide to Building Distributed, Big Data Applications with Apache Hadoop™ YARN
 
Apache Hadoop is helping drive the Big Data revolution. Now, its data processing has been completely overhauled: Apache Hadoop YARN provides resource management at data center scale and easier ways to create distributed applications that process petabytes of data. And now in Apache Hadoop™ YARN, two Hadoop technical leaders show you how to develop new applications and adapt existing code to fully leverage these revolutionary advances.
 
YARN project founder Arun Murthy and project lead Vinod Kumar Vavilapalli demonstrate how YARN increases scalability and cluster utilization, enables new programming models and services, and opens new options beyond Java and batch processing. They walk you through the entire YARN project lifecycle, from installation through deployment.
 
You’ll find many examples drawn from the authors’ cutting-edge experience—first as Hadoop’s earliest developers and implementers at Yahoo! and now as Hortonworks developers moving the platform forward and helping customers succeed with it.
 
Coverage includes

YARN’s goals, design, architecture, and components—how it expands the Apache Hadoop ecosystem

Exploring YARN on a single node 

Administering YARN clusters and Capacity Scheduler 

Running existing MapReduce applications 

Developing a large-scale clustered YARN application 

Discovering new open source frameworks that run under YARN