Литмир - Электронная Библиотека
Apache Hadoop YARN
Добавить похожую книгу
Opportunities in Occupational Therapy Careers
Автор: Weeks Zona (EN)
Похожа
Непохожа
Case Dismissed
Автор: Todd Tim (EN)
Похожа
Непохожа
Proper Family Holiday
Похожа
Непохожа
Phenomenology and the Holy
Автор: Dahl Espen (EN)
Похожа
Непохожа
Theme of the Pentateuch
Похожа
Непохожа
Apache Hadoop YARN
Author:Murthy Arun (EN)
Language of a book: Английский
Language of an original book: Английский
Publisher: Gardners Books

    ';This book is a critically needed resource for the newly released Apache Hadoop 2.0, highlighting YARN as the significant breakthrough that broadens Hadoop beyond the MapReduce paradigm.' From the Foreword by Raymie Stata, CEO of Altiscale The Insider's Guide to Building Distributed, Big Data Applications with Apache Hadoop YARN 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 experiencefirst 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 componentshow 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

    Поделиться:
    ]]>Facebook :0]]>  ]]>Twitter :0]]>  ]]>В контакте :0]]>  ]]>Livejournal :0]]>  ]]>Мой мир :0]]>  ]]>Gmail :0]]>  Email :0  ]]>Скачать :0]]>  
    Мой статус книги:
    Чтобы оставить свою оценку и комментарий вам нужно зайти на сайт или зарегистрироваться

    {"b":"309137","o":30}