Hadoop MapReduce Cookbook
| Author | : | |
| Rating | : | 4.82 (673 Votes) |
| Asin | : | 1849517282 |
| Format Type | : | paperback |
| Number of Pages | : | 300 Pages |
| Publish Date | : | 2014-12-28 |
| Language | : | English |
DESCRIPTION:
in Computer Science from Indiana University, Bloomington, in 2009. He also serves as a Research Scientist at Lanka Software Foundation and teaches as a visiting faculty at Department of Computer Science and Engineering, University of Moratuwa. Srinath is also a committer of Apache open source projects Axis, Axis2, and Geronimo.He received his Ph.D. He is also a frequent speaker at technical venues.He has worked with large-scale distributed systems for a long time. He has extensive experience in using Apache Hadoop and related technologies for large-scale data intensive computations. in Computer Science and Engineering from University of Moratuwa, Sri Lanka, in 2006 and received his M.Sc. in Computer Sciences
Doug Duncan said Good book, bad editing. 'Hadoop MapReduce Cookbook' by Srinath Perera and Thilina Gunarathne will help you out with getting things done in MapReduce. The content is pretty well thought out and the authors seem to have good knowledge on Hadoop and MapReduce. They start with the basics of setting up Hadoop in different configurations (local, pseudo-distributed and fully distributed) and how to work with HDFS, and then move out into the Hadoop ecosystem and how to use MapReduce . A good reference, but light on the logical details 08milluz Hadoop MapReduce Cookbook is a good reference if you already have a decent understanding of Hadoop. It is helpful when you ask "how do I do that again?" or "what is the exact procedure for doing that?". The book does a decent job of explaining how to setup a cluster and basic cluster management, but it doesn't really explain the logic that is going on. While it is easy to understand what the author is doing, if you are new to Hadoop, you will likely ge. "Already outdated" according to D. Kidd. I think it would be better to follow online tutorials because this book is already rather outdated. Also, it didn't have enough background information for me. Having recipes just wasn't enough to get me started.
The book introduces you to simple examples and then dives deep to solve in-depth big data use cases."Hadoop MapReduce Cookbook" presents more than 50 ready-to-use Hadoop MapReduce recipes in a simple and straightforward manner, with step-by-step instructions and real world examples.Start with how to install, then configure, extend, and administer Hadoop. Harnessing the ability to analyze and process this data with Hadoop MapReduce is one of the most highly sought after skills in today's job market."Hadoop MapReduce Cookbook" is a one-stop guide to processing large and complex data sets using the Hadoop ecosystem. Learn how to use Hadoop MapReduce to analyze large and complex datasets with this comprehensive cookbook. The unstructured data we gather can contain many insights that might hold the key to business success or failure. You will learn how to harness components from the Hadoop ecosystem including HBase, Hadoop, Pig, and Mahout, then learn how to set up cloud environments to perform Hadoop MapReduce computations."Hadoop MapReduce Cookbook" teaches you how process large and complex data sets using real examples providing a comprehensive guide to get things done using Hadoop MapReduce.What you will learn from this bookHow to install Hadoop MapReduce and HDFS to begin running examplesHow to configure and administer Hadoop and HDFS securelyUnderstanding the internals of Hadoop and how Hadoop can be extended to suit your needsHow to use HBase
Srinath Perera.Srinath Perera is a Senior Software Architect at WSO2 Inc., where he overlooks the overall WSO2 platform architecture with the CTO. He is also a frequent speaker at technical venues.He has worked with large-scale distributed systems for a long time. He closely works with Big Data technologies, such as Hadoop and Cassandra daily. His current w