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Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2 (Addison-Wesley Data & Analytics) (Englisch) Taschenbuch – 19. März 2014

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Produktinformation

  • Taschenbuch: 400 Seiten
  • Verlag: Addison Wesley (19. März 2014)
  • Sprache: Englisch
  • ISBN-10: 0321934504
  • ISBN-13: 978-0321934505
  • Größe und/oder Gewicht: 17,8 x 2 x 22,6 cm
  • Durchschnittliche Kundenbewertung: 1.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)
  • Amazon Bestseller-Rang: Nr. 219.138 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
  • Komplettes Inhaltsverzeichnis ansehen

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Produktbeschreibungen

Pressestimmen

" This book is a desperately needed resource for administrators, developers, and power-users of the Hadoop YARN framework. It does an excellent job of documenting the (often unknown) history that inevitably lead up to YARN from previous versions of Hadoop, which provides a valuable canvas against which to present the remaining pragmatically-oriented text. Moving from the history of YARN, it wisely jumps right into getting the reader up and running with their own YARN setup (on a single machine or on a larger cluster) such that the rest of the text is not merely conjecturing, but real guidance for a real instance of YARN. Chapters 7 and 8 were the ones I was most looking forward to in the text from the start, as those "core" components of YARN are some of the ones which are least understood and yet concurrently most impacting on performance. They did not disappoint." - Ellis H. Wilson III, Storage Scientist

Über den Autor und weitere Mitwirkende

Arun Murthy has contributed to Apache Hadoop full-time since the inception of the project in early 2006. He is a long-term Hadoop committer and a member of the Apache Hadoop Project Management Committee. Previously, he was the architect and lead of the Yahoo Hadoop MapReduce development team and was ultimately responsible, technically, for providing Hadoop MapReduce as a service for all of Yahoo--currently running on nearly 50,000 machines. Arun is the founder and architect of the Hortonworks Inc., a software company that is helping to accelerate the development and adoption of Apache Hadoop. Hortonworks was formed by the key architects and core Hadoop committers from the Yahoo! Hadoop software engineering team in June 2011. Funded by Yahoo! and Benchmark Capital, one of the preeminent technology investors, their goal is to ensure that Apache Hadoop becomes the standard platform for storing, processing, managing, and analyzing big data. Vinod Kumar Vavilapalli has been contributing to Apache Hadoop project full-time since mid-2007. At Apache Software Foundation, he is a long-term Hadoop contributor, Hadoop committer, member of the Apache Hadoop Project Management Committee, and a foundation member. Vinod is a MapReduce and YARN go-to guy at Hortonworks Inc. For more than five years, he has been working on Hadoop. He was involved in HadoopOnDemand, Hadoop-0.20, CapacityScheduler, Hadoop security, and MapReduce, and is now a lead developer and the project lead for Apache Hadoop YARN. Before Hortonworks, he was at Yahoo!, working in the Grid team that made Hadoop what it is today, running at large scale--up to tens of thousands of nodes. Vinod loves reading books of all kinds and is passionate about using computers to change the world for better, bit by bit. He has a bachelor's degree in computer science and engineering from the Indian Institute of Technology Roorkee. He can be reached at twitter handle @tshooter. Douglas Eadline, Ph.D., began his career as a practitioner and a chronicler of the Linux Cluster HPC revolution and now documents big data analytics. Starting with the first Beowulf How To document, Doug has written hundreds of articles, white papers, and instructional documents covering virtually all aspects of HPC computing. Prior to starting and editing the popular ClusterMonkey.net website in 2005, he served as editor--in--chief for ClusterWorld magazine, and was senior HPC editor for Linux Magazine. Currently, he is a consultant to the HPC industry and writes a monthly column in HPC Admin magazine. Both clients and readers have recognized Doug's ability to present a "technological value proposition" in a clear and accurate style. He has practical, hands-on experience in many aspects of HPC, including hardware and software design, benchmarking, storage, GPU, cloud, and parallel computing. He is the author of Hadoop Fundamentals LiveLessons (video) from Addison-Wesley. Joseph Niemiec is a big data solutions engineer whose focus is on designing Hadoop solutions for many Fortune 1000 companies. In this position, Joseph has worked with customers to build multiple YARN applications providing a unique perspective on moving customers beyond batch processing, and has worked on YARN development directly. An avid technologist, Joseph has been focused on technology innovations since 2001. His interest in data analytics originally started in game score optimization as a teenager, and has shifted to helping customers uptake new technology innovations such as Hadoop and, most recently, building new data applications using YARN. Jeff Markham is a solution engineer at Hortonworks Inc., the company promoting open source Hadoop. Previously, he was with VMware, Red Hat, and IBM, helping companies build distributed applications with distributed data. He has written articles on Java application development and has spoken at several conferences and to Hadoop User Groups. Jeff is a contributor to Apache Pig and Apache HDFS.


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Format: Kindle Edition Verifizierter Kauf
The author is repeating the same sentence again and again and again, till it starts to confuse the reader, and after 5 hours I could not understand what is the right thing.
DON'T BUY IT
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 14 Rezensionen
4 von 4 Kunden fanden die folgende Rezension hilfreich
Too many circumlocutions that never get to the point. You will need to augment this text, with internet-based resources. 22. August 2014
Von nyceyes - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
I can't give this book a great rating. In so many places it took five, six, seven or more sentences to say what could be said in one or two well-written, forceful sentences. To some degree I can look past that, were it not for this: even after an unnecessary circumlocution, the point was never firmly made, if at all. Sadly, I had to take my understanding of YARN back to the internet, post my book purchase.
6 von 7 Kunden fanden die folgende Rezension hilfreich
Could be Hadoop Book primer if source code published 1. Juni 2014
Von chitti - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
This book mostly provides introduction and theory on Hadoop with YARN features with installation guide.

The book severely lacking hands-on examples to get the feeling of working on Hadoop. The books's web page says for last one month "We are in the process of uploading all the code from the book. Please come back again in a while! "
[...]
13 von 17 Kunden fanden die folgende Rezension hilfreich
Poorly written. 7. Mai 2014
Von ZenBowman - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
The book has a significant number of typos, poor grammar, and lacks power. It seems as if it was rushed through.
7 von 9 Kunden fanden die folgende Rezension hilfreich
Typos and grammar issues aside, this is a must read if you're moving from MRv1 to MRv2/YARN 3. Juni 2014
Von JC - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
Yes, this seems to have been rushed to print and, unfortunately, yes the proof-readers were not up to snuff.

However, once you get over the strange sentences that don't quite read properly (and you will, by re-reading them multiple times), this is a great text for someone looking to get a grip on the understanding of YARN and how MRv2 (+ graph, Storm, Spark etc) fit into things.

With the myriad of technologies and stacks now available in the "Big Data" space, Hadoop has finally realized the "grid" dreams of the early 2000's on commodity, on-demand clusters.
5 von 6 Kunden fanden die folgende Rezension hilfreich
The Scripts Are So Broken 22. Juni 2014
Von Joshua Horns - Veröffentlicht auf Amazon.com
Format: Taschenbuch
I gave the book 3 stars because it has a good overview of Hadoop Yarn.

I only gave it 3 stars because the "fast" installation scripts are so broken I gave up running them and just manually did what they are supposed to do. It took about 8 hours to get my first cluster operational.
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