By Arun Murthy,Vinod Vavilapalli,Douglas Eadline,Joseph Niemiec,Jeff Markham
“This ebook is a seriously 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 by way of Raymie Stata, CEO of Altiscale
The Insider’s advisor to construction allotted, sizeable information functions with Apache Hadoop™ YARN
Apache Hadoop helps force the massive information 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 allotted purposes that technique petabytes of knowledge. And now in Apache Hadoop™ YARN, Hadoop technical leaders assist you enhance new functions and adapt present code to totally leverage those innovative advances.
YARN undertaking founder Arun Murthy and undertaking lead Vinod Kumar Vavilapalli show how YARN raises scalability and cluster usage, allows new programming types and companies, and opens new techniques 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 supporting clients be triumphant with it.
- 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
Read Online or Download Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2 (Addison-Wesley Data & Analytics Series) PDF
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