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Hadoop In Action by Chuck Lam takes an insightful look at using Apache Hadoop and the MapReduce framework along with extraction of logical information from volumes of data.
Summary Of The Book
Hadoop In Action by Chuck Lam deals with Apache Hadoop and its particular features. This is a NoSQL application framework. It mainly runs on frameworks that are distributed. The book positions Apache Hadoop as a replacement for traditional database applications. Hadoop In Action teaches the fundamentals of Hadoop to readers and explains its usage along with delineated MapReduce programs and their writing. This book will be quite helpful for architects, project managers and programmers and any individual processing large volumes of data offline. This book details all the steps involved, starting from obtaining Hadoop to cluster settings and writing programs that analyse data.
Hadoop In Action makes the basics of MapReduce and Hadoop significantly easier for readers. The default installation for Hadoop is applied to tasks that are quite easy to understand. These include analysis of word frequency changes across document bodies. The book also takes a look at concepts like using Hadoop for data analysis, framework components and examples of using Hadoop. Readers are also presented various programming practices and patterns of design. The complicated MapReduce is simplified for readers and all levers and knobs are carefully delineated. Readers will be able to eventually write programs within the MapReduce framework and use Hadoop successfully with this book.
Readers must be thorough with the basic concepts of Java and have an understanding of statistics in order to make full use of this book. Hadoop In Action demonstrates extraction of logical information from data bundles and code writing methodology as well. There are various basic exercises provided in the book that can be helpful for both professionals and beginners.
About Chuck Lam
Chuck Lam is an author, and engineer. Chuck Lam has also authored Electrophysiology Of Vision: Clinical Testing And Applications and Analytical Applications of Immobilized Enzyme Reactors. He has also co-authored Advanced Modeling For Transit Operations And Service Planning.
Chuck Lam obtained his PhD from Stanford University in Pattern Recognition and Electrical Engineering. The subject of his thesis was computational data acquisition. He also got his B.S. from San Jose State University. He has also worked as a Senior Tech Lead at RockYou and is a senior engineer. Chuck Lam was also involved in founding and creating RollCall, a mobile social networking venture. He has developed data processing infrastructure and social applications at RockYou and also specializes in optimization of the ad network at RockYou. He is known for his interest in Big Data.
Hadoop A Distributed Programming Framework
• Introducing Hadoop
• Starting Hadoop
• Components of Hadoop
Hadoop In Action
• Writing basic MapReduce programs
• Advanced MapReduce
• Programming Practices
• Managing Hadoop
Hadoop Gone Wild
• Running Hadoop in the cloud
• Programming with Pig
• Hive and the Hadoop herd
• Case studies
Very Good book to get started on Hadoop
6 Jan, 2013
Quick and practical introduction. Must read for beginners if you are looking to learn from a book.
29 Jun, 2014
24 Feb, 2012
Very Good Book
24 Dec, 2013
Very Good Book for Beg.
24 Jul, 2015
Good for Intermediaries
8 Oct, 2014
Must for Big data and Hadoop begineers
27 Jun, 2014
Good Book to start, for hadoop
24 Dec, 2013