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Commerce Reports

Author:
Publisher:
ISBN:
Category : Consular reports
Languages : en
Pages : 72

Book Description

51 Yarns to Spin Before You Cast Off

Author: Jacey Faulkner
Publisher:
ISBN: 9780999669303
Category :
Languages : en
Pages : 120

Book Description
Up for a challenge? 51 Yarns is a fun, detailed list of spinning adventures every spinner should embark on. Packed for the long haul with vital information, tips, tricks, and trivia, it¿s an essential travel companion for your fiber trek across a lush topography of breeds, techniques, materials, and approaches. Map your trail or just ride along ¿ 51 Yarns is the journey; being a happy, well-rounded spinner is the destination!At 5.5 x 8.5 inches, it¿s big enough to contain 51 formidable feats but small enough to throw in your spinning basket. And we¿ve printed it on paper hearty enough to withstand trips to spinning circles and guild meetings, transcontinental hikes, vine swings, late-night spelunks, or to just sit in your library awaiting the next endeavor.

Commerce Reports

Author:
Publisher:
ISBN:
Category : Consular reports
Languages : en
Pages : 72

Book Description

Apache Hadoop YARN

Author: Arun Murthy
Publisher: Addison-Wesley Professional
ISBN: 0133441911
Category : Computers
Languages : en
Pages : 336

Book Description
“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 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. Coverage includes YARN’s goals, design, architecture, and components—how 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