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Hadoop Real World Solutions Cookbook, by Jonathan R. Owens, Brian Femiano, Jon Lentz
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In Detail
Helping developers become more comfortable and proficient with solving problems in the Hadoop space. People will become more familiar with a wide variety of Hadoop related tools and best practices for implementation.
Hadoop Real World Solutions Cookbook will teach readers how to build solutions using tools such as Apache Hive, Pig, MapReduce, Mahout, Giraph, HDFS, Accumulo, Redis, and Ganglia.
Hadoop Real World Solutions Cookbook provides in depth explanations and code examples. Each chapter contains a set of recipes that pose, then solve, technical challenges, and can be completed in any order. A recipe breaks a single problem down into discrete steps that are easy to follow. The book covers (un)loading to and from HDFS, graph analytics with Giraph, batch data analysis using Hive, Pig, and MapReduce, machine learning approaches with Mahout, debugging and troubleshooting MapReduce, and columnar storage and retrieval of structured data using Apache Accumulo.
Hadoop Real World Solutions Cookbook will give readers the examples they need to apply Hadoop technology to their own problems.
Approach
Cookbook recipes demonstrate Hadoop in action and then explain the concepts behind the code.
Who this book is for
This book is ideal for developers who wish to have a better understanding of Hadoop application development and associated tools, and developers who understand Hadoop conceptually but want practical examples of real world applications.
- Sales Rank: #911752 in eBooks
- Published on: 2013-02-07
- Released on: 2013-02-07
- Format: Kindle eBook
About the Author
Jonathan R. Owens
Jonathan R. Owens has a background in Java and C++, and has worked in both the private and public sectors as a software engineer. Most recently, he has been working with Hadoop, and related distributing processing technologies.
Currently, Jonathan R. Owens works for comScore, Inc, a widely regarded digital measurement and analytics company. At comScore, he is a member of the core-processing team, which uses Hadoop and other custom distributed systems to aggregate, analyze, and manage over 40+ billion transactions per day.
Brian Femiano
Brian Femiano has a B.S in Computer Science and has been programming professionally for over 6 years, the last 2 of which have been spent building advanced analytics and big data capabilities using Apache Hadoop. He has worked for the commercial sector in the past, but the majority of his experience comes from the government contracting space. He currently works for Potomac Fusion in the DC/Virginia area, where they develop scalable algorithms to study and enhance some of the most advanced and complex datasets in the government space. Within Potomac Fusion, he has taught courses and training sessions to help teach Apache Hadoop and related cloud-scale technology.
Jon Lentz
Jon Lentz is a software engineer on the Core Processing team at comScore, an online audience measurement and analytics company. He prefers to do most of his coding in Pig. Before working at comScore he wrote software to optimize supply chains and to allocate fixed income securities.
Most helpful customer reviews
5 of 5 people found the following review helpful.
Author assumes to much and doesn't expound on anything
By Kevin Weber
This book makes a lot of assumptions and doesn't give a lot of setup instruction. For instance, you don't find out that the author is assuming you are using CDH3 until chapter 2. Or, the author makes the assumption that you have a Microsoft SQL Server instance living on a seperate box from your own. Or worse, the assumption that the reader is utilizing a cluster that has at least 4 machines and is setup with 2 namenodes. Outside of this glaring problem with assumptions, the subject matter that is present is top notch if you can work through the short-comings
3 of 4 people found the following review helpful.
Helping you solve your Hadoop problems
By Doug Duncan
'Hadoop Real-World Solutions Cookbook' by Jonathon R. Owens, Brian Femiano and Jon Lentz is another fine cookbook serving up recipes for working with Hadoop. The book has 10 different chapters dealing with the basics such as setting up Hadoop, getting data into and out of Hadoop and working with HDFS and then moving on to more advanced topics such as joining data, using Pig and Hive and analyzing large amounts of data.
You not only given lessons solely about Hadoop, but you also get introduced to other packages such as Giraph, Mahout and Accumulo and how to integrate these with Hadoop.
This is definitely a book that will be within easy reach and used heavily for reference for quite some time. If you're working with Hadoop for anything and you want quick answers on how to do things, give this book a close look.
8 of 11 people found the following review helpful.
This book serves an important purpose
By Yashar John Asbaghi
This book serves an important purpose that's often overlooked by most other publishers. Programming is not a science. Programming is a craft. For people to learn programming, they need to work on real projects. This book helps the programmer to get up and running without having to go through a lengthy documentation or highfalutin book. You don't have to look like a Hadoop pro to be a good programmer, even on big data projects that leverage Hadoop. You have to start coding and tinkering and this book helps you do that.
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