74309d7132 Examples are important since they are concrete and allow readers to start using and exploring the system. (707) 827-7019(800) 889-8969 All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. .. The book is aimed primarily at users doing data processing, so in this edition I added two new chapters about processing frameworks (Apache Spark and Apache Crunch), one on data formats (Apache Parquet, incubating at this writing) and one on data ingestion (Apache Flume). The YARN material has been expanded and now has a whole chapter devoted to it. Youll learn about recent changes to Hadoop, and explore new case studies on Hadoops role in healthcare systems and genomics data processing. How are those changes reflected in the new edition?.
Hadoop Operations, IV. Not only that, but the depth with which each topic has been addressed really gave me a good, practical understanding of the dos and don'ts.Hadoop itself has been modularized in a healthy way, making it much more than the original, monolithic cluster computing framework; this modularization has been greatly reflected into the book: after dealing with the first few chapters, the reader is free to roam around without having to read it cover to cover, having the chance to learn about this or that piece of the whole system as he sees fit, making it a much more enjoyable and productive learning experience.But Hadoop is much more than its core components: the distributed filesystem HDFS, the cluster resource manager YARN and the computing framework MapReduce serve as the basis of a rich ecosystem of cluster-ready libraries and applications that have come to be just as important as the core components themselves, especially as Hadoop vendors tend to bundle this tools together to form an enterprise-ready platform; this is again greatly reflected in this guide: topics like the distributed coordination service ZooKeeper, the BigTable implementation HBase, the in-memory cluster computing framework Spark and many more topics are covered, giving you a good starting point to begin working with these technologies.The books ends with some interesting real-world use cases of Hadoop, giving you some really fascinating insight and providing you with some dos and don'ts that can save you precious time when designing solutions on the Hadoop platform.I really recommend this book for anyone interested in the topic and even for professionals who already dealt with Hadoop in the past but never really had the chance of understanding how it works.Bottom Line Yes, I would recommend this to a friend(1 of 1 customers found this review helpful)Was this review helpful?Yes/No-You may also flag this review4/23/2015(4 of 5 customers found this review helpful)5.0Excellent book on Hadoop ByKashiffrom LondonAbout Me DeveloperProsAccurateConciseEasy to understandHelpful examplesWell-writtenConsBest UsesExpertIntermediateNoviceStudentComments about oreilly Hadoop: The Definitive Guide, 4th Edition:I picked this book after getting positive feedback about it on the web forums and I am very happy that I purchased it. Everything makes sense now. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. I think the two main things that readers want from a book like this are: 1) good examples for each component, and 2) an explanation of how the component in question works. Previously he was as an independent Hadoop consultant, working with companies to set up, use, and extend Hadoop. The new edition is broken into parts (I.