{"product_id":"9780133441918","title":"Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2","description":"\u003cp\u003e \u003ci\u003e“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.”\u003c\/i\u003e \u003cbr\u003e—From the Foreword by \u003cb\u003eRaymie Stata, CEO of Altiscale\u003c\/b\u003e \u003c\/p\u003e  \u003cp\u003e \u003cbr\u003e \u003cb\u003eThe Insider’s Guide to Building Distributed, Big Data Applications with Apache Hadoop™ YARN\u003c\/b\u003e \u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003eApache 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 \u003cb\u003e \u003ci\u003e \u003cb\u003eApache Hadoop™ YARN,\u003c\/b\u003e \u003c\/i\u003e \u003c\/b\u003e two Hadoop technical leaders show you how to develop new applications and adapt existing code to fully leverage these revolutionary advances.\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003eYARN 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.\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003eYou’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.\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003eCoverage includes\u003c\/p\u003e  \u003cul\u003e  \u003cli\u003e  YARN’s goals, design, architecture, and components—how it expands the Apache Hadoop ecosystem \u003c\/li\u003e  \u003cli\u003e  Exploring YARN on a single node  \u003c\/li\u003e  \u003cli\u003e  Administering YARN clusters and Capacity Scheduler  \u003c\/li\u003e  \u003cli\u003e  Running existing MapReduce applications  \u003c\/li\u003e  \u003cli\u003e  Developing a large-scale clustered YARN application  \u003c\/li\u003e  \u003cli\u003e  Discovering new open source frameworks that run under YARN \u003c\/li\u003e \u003c\/ul\u003e","brand":"Pearson Education","offers":[{"title":"Default Title","offer_id":47080273871088,"sku":"9780133441918","price":31.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780133441918_p0.jpg?v=1763641093","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780133441918","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}