Apache Hadoop YARN: Moving beyond MapReduce and Batch by Arun Murthy,Vinod Vavilapalli,Douglas Eadline,Joseph

By Arun Murthy,Vinod Vavilapalli,Douglas Eadline,Joseph Niemiec,Jeff Markham

“This booklet is a severely wanted source for the newly published Apache Hadoop 2.0, highlighting YARN because the major leap forward that broadens Hadoop past the MapReduce paradigm.”
—From the Foreword via Raymie Stata, CEO of Altiscale


The Insider’s consultant to construction allotted, vast info functions with Apache Hadoop™ YARN

 

Apache Hadoop helps force the massive facts revolution. Now, its info processing has been thoroughly overhauled: Apache Hadoop YARN presents source administration at info heart scale and more straightforward how you can create dispensed functions that approach petabytes of information. And now in Apache Hadoop™ YARN, Hadoop technical leaders provide help to increase new functions and adapt present code to completely leverage those innovative advances.

 

YARN undertaking founder Arun Murthy and undertaking lead Vinod Kumar Vavilapalli exhibit how YARN raises scalability and cluster usage, allows new programming versions and providers, and opens new suggestions past Java and batch processing. They stroll you thru the complete YARN undertaking lifecycle, from install via deployment.

 

You’ll locate many examples drawn from the authors’ state of the art experience—first as Hadoop’s earliest builders and implementers at Yahoo! and now as Hortonworks builders relocating the platform ahead and assisting consumers be triumphant with it.

 

Coverage includes

  • YARN’s targets, layout, structure, and components—how it expands the Apache Hadoop ecosystem
  • Exploring YARN on a unmarried node 
  • Administering YARN clusters and potential Scheduler 
  • Running latest MapReduce applications 
  • Developing a large-scale clustered YARN application 
  • Discovering new open resource frameworks that run less than YARN

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