By Arun Murthy,Vinod Vavilapalli,Douglas Eadline,Joseph Niemiec,Jeff Markham
“This booklet is a significantly wanted source for the newly published Apache Hadoop 2.0, highlighting YARN because the major step forward that broadens Hadoop past the MapReduce paradigm.”
—From the Foreword through Raymie Stata, CEO of Altiscale
The Insider’s advisor to construction dispensed, significant info functions with Apache Hadoop™ YARN
Apache Hadoop helps force the large info revolution. Now, its information processing has been thoroughly overhauled: Apache Hadoop YARN offers source administration at information heart scale and more uncomplicated how you can create dispensed purposes that strategy petabytes of information. And now in Apache Hadoop™ YARN, Hadoop technical leaders assist you advance new functions and adapt latest code to totally leverage those innovative advances.
YARN undertaking founder Arun Murthy and undertaking lead Vinod Kumar Vavilapalli exhibit how YARN raises scalability and cluster usage, permits new programming versions and companies, and opens new suggestions past Java and batch processing. They stroll you thru the total YARN undertaking lifecycle, from deploy 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 aiding shoppers be successful with it.
- YARN’s pursuits, layout, structure, and components—how it expands the Apache Hadoop ecosystem
- Exploring YARN on a unmarried node
- Administering YARN clusters and ability Scheduler
- Running latest MapReduce applications
- Developing a large-scale clustered YARN application
- Discovering new open resource frameworks that run lower than YARN
Read 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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