By Arun Murthy,Vinod Vavilapalli,Douglas Eadline,Joseph Niemiec,Jeff Markham
“This ebook is a significantly 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 advisor to development allotted, monstrous facts functions with Apache Hadoop™ YARN
Apache Hadoop helps force the massive info revolution. Now, its info processing has been thoroughly overhauled: Apache Hadoop YARN offers source administration at info heart scale and more straightforward how you can create allotted functions that technique petabytes of knowledge. And now in Apache Hadoop™ YARN, Hadoop technical leaders assist you improve new purposes and adapt current code to totally leverage those innovative advances.
YARN venture founder Arun Murthy and undertaking lead Vinod Kumar Vavilapalli display how YARN raises scalability and cluster usage, permits new programming types and prone, and opens new strategies past Java and batch processing. They stroll you thru the total YARN undertaking lifecycle, from set up 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 buyers 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 skill Scheduler
- Running latest MapReduce applications
- Developing a large-scale clustered YARN application
- Discovering new open resource frameworks that run lower 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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