Apache Hadoop YARN : moving beyond MapReduce and batch processing with Apache Hadoop 2 / Arun C. Murthy, Vinod Kumar Vavilapalli, Doug Eadline, Joseph Niemiec, Jeff Markham.

By:

Murthy, Arun

Material type: Text

TextPublication details: Upper Saddle River, NJ : Pearson, [2014]Description: xxvi, 304 pages ; 24 cmISBN:

9780321934505

Subject(s):

DDC classification:

004.36 23 Mu Ap

LOC classification:

QA76.9.D5 M97 2014

Summary: 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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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode
Books	Bahrain ITC-COM	Computer Studies	004.36 Mu Ap (Browse shelf(Opens below))	Available	Dr. Md Asdaque		3000000009

Includes index.

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

The online book link:

https://www.amazon.com/Apache-Hadoop-YARN-Processing-Addison-Wesley/dp/0321934504/ref=sr_1_1?dchild=1&keywords=0321934504&qid=1613029769&s=books&sr=1-1

Dr. Md Asdaque

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