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Apache Hadoop YARN: Moving Beyond MapReduce and Batch Processing with Apache Hadoop 2
Contributor(s): Murthy, Arun (Author), Vavilapalli, Vinod (Author), Eadline, Douglas (Author)

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 ISBN: 0321934504     ISBN-13: 9780321934505
Publisher: Addison-Wesley Professional
OUR PRICE: $35.99  

Binding Type: Paperback - See All Available Formats & Editions
Published: March 2014
* Out of Print *

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Additional Information
BISAC Categories:
- Computers | Databases - Data Mining
- Computers | Client-server Computing - General
Dewey: 004.36
LCCN: 2014003391
Series: Addison-Wesley Data & Analytics
Physical Information: 0.76" H x 7.01" W x 9.15" L (1.15 lbs) 304 pages
Features: Illustrated, Index, Price on Product, Price on Product - Canadian, Recycled Paper, Table of Contents
 
Descriptions, Reviews, Etc.
Publisher Description:
"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(TM) 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(TM) 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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