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Professional Hadoop Solutions, by Boris Lublinsky, Kevin T. Smith, Alexey Yakubovich
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The go-to guidebook for deploying Big Data solutions with Hadoop
Today's enterprise architects need to understand how the Hadoop frameworks and APIs fit together, and how they can be integrated to deliver real-world solutions. This book is a practical, detailed guide to building and implementing those solutions, with code-level instruction in the popular Wrox tradition. It covers storing data with HDFS and Hbase, processing data with MapReduce, and automating data processing with Oozie. Hadoop security, running Hadoop with Amazon Web Services, best practices, and automating Hadoop processes in real time are also covered in depth.
With in-depth code examples in Java and XML and the latest on recent additions to the Hadoop ecosystem, this complete resource also covers the use of APIs, exposing their inner workings and allowing architects and developers to better leverage and customize them.
- The ultimate guide for developers, designers, and architects who need to build and deploy Hadoop applications
- Covers storing and processing data with various technologies, automating data processing, Hadoop security, and delivering real-time solutions
- Includes detailed, real-world examples and code-level guidelines
- Explains when, why, and how to use these tools effectively
- Written by a team of Hadoop experts in the programmer-to-programmer Wrox style
Professional Hadoop Solutions is the reference enterprise architects and developers need to maximize the power of Hadoop.
- Sales Rank: #818266 in eBooks
- Published on: 2013-09-12
- Released on: 2013-09-12
- Format: Kindle eBook
From the Back Cover
Implement Hadoop Solutions throughout the enterprise
If you're ready to make the most out of massively scalable analytics, you need to know how to take advantage of Hadoop technologies. With this guide, you'll learn how! It focuses on the architecture and approaches for building advanced, Hadoop-based enterprise applications, taking a deeper, code-level dive into delivering real-world solutions. It also walks you through the data design and how it impacts implementation. It explains how MapReduce works, and shows you how to reformulate specific business problems in MapReduce. Throughout the pages, you'll find in-depth Java code examples that you can use, derived from applications that have been successfully built and deployed.
Professional Hadoop Solutions:
- Explores the MapReduce architecture, its main components, and the MapReduce programming model
- Discusses how to create reliable MapReduce applications, including testing and debugging, as well as how to use built-in MapReduce facilities
- Explains how to extend Oozie and use it to integrate Hadoop-based implementations with other enterprise applications
- Describes how to build real-time Hadoop-based applications and how to leverage real-time Hadoop queries
- Shows how to extend Hadoop's security capabilities, including encryption, authentication, authorization, Single-Sign-On (SSO), and auditing
- Covers different approaches to running Hadoop in the Amazon Web Services (AWS) cloud
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Wrox Professional guides are written by working developers to address everyday needs. They provide examples, practical solutions, and expert education in new technologies, all designed to help programmers do a better job.
About the Author
Boris Lublinsky is principal architect at Nokia and an author of more than 70 publications, including Applied SOA: Service-Oriented Architecture and Design Strategies.
Kevin T. Smith is Director of Technology Solutions for the AMS division of Novetta Solutions, where he builds highly secure, data-oriented solutions for customers.
Alexey Yakubovich is a system architect at Hortonworks and a member of the Object Management Group SIG on SOA governance and model-driven architecture.
Most helpful customer reviews
28 of 29 people found the following review helpful.
Very Helpful in Practice - Much Deeper than a Reference Guide
By Joseph Bush
I have been developing Hadoop-based solutions for over two years, and I typically refer to two books - Tom White's book, "Hadoop: The Definitive Guide" which is a nice overview and a reference, and Alex Holmes' book, "Hadoop In Practice" which provides more context.
After reading this book, I can say that Professional Hadoop Solutions does a very nice job at applying depth to some areas that are not covered elsewhere - or are covered very lightly in other material. This book starts with three chapters on MapReduce programming, which I have found helpful and provides deep insight. The first chapter is more of an intro, but the next two go deeper - and this is very useful. Oozie is covered in-depth in three chapters, and not too many books cover it - Oozie is critical to understand when you are developing practical, large-scale processing systems with Hadoop & when you are orchestrating lots of MR jobs. I found the chapters on security to be practical and helpful - something that is often not covered in other books. I'm glad that Hadoop on AWS is covered, but I wish that real-time Hadoop was covered more - although this is certainly a new area.
In all, this book covers practical Hadoop development in depth, and it is done clearly. I will point out that this is not a book that is simply an introduction and a reference guide (If you need that, I would use Hadoop: the Definitive Guide, which is great for that purpose), but this book goes deep, and it is one that helps me deal with practical problems. It has already helped me and I highly recommend it.
9 of 10 people found the following review helpful.
Thoughtful style
By Dimitri K
I like this book for a thoughtful stile. It is not simply fragments of code, but it always tries (and manages) to explain why it is done this way. For me it is very important because I am not good in memorizing names and facts, but appreciate logic. It is very rare and great way to write books. I highly recommend this book (though not as an introduction).
9 of 11 people found the following review helpful.
Excellent but sloppy
By J. Fernandez
This book covers a niche that few others have in that it treats Hadoop as a framework rather than an application. It dives in depth into various parts of it and explains how to solve problems you may not have even known about. It also has three chapters on Oozie, a topic which is all but ignored in other publications.
This book should have five stars and a glowing recommendation, but it is in dire need of editing. There are a ton of typos (even in source code), and some of the code samples are broken. One chapter describes how to build a dynamic Oozie workflow and the source they provided does not work and never could have since they are missing an XSD file reference entirely. When I added the reference it still did not work. This was very frustrating when I tried to implement this solution on a deadline.
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