March 2014
Intermediate to advanced
400 pages
10h 7m
English
book
Apache Hadoop™ YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop™ 2
by Arun C. Murthy, Vinod Kumar Vavilapalli, Doug Eadline, Joseph Niemiec, Jeff Markham
Overview
“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
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