Ebook Professional Hadoop, by Benoy Antony, Konstantin Boudnik, Cheryl Adams, Branky Shao, Cazen Lee, Kai Sasaki
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Professional Hadoop, by Benoy Antony, Konstantin Boudnik, Cheryl Adams, Branky Shao, Cazen Lee, Kai Sasaki
Ebook Professional Hadoop, by Benoy Antony, Konstantin Boudnik, Cheryl Adams, Branky Shao, Cazen Lee, Kai Sasaki
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The professional's one-stop guide to this open-source, Java-based big data framework
Professional Hadoop is the complete reference and resource for experienced developers looking to employ Apache Hadoop in real-world settings. Written by an expert team of certified Hadoop developers, committers, and Summit speakers, this book details every key aspect of Hadoop technology to enable optimal processing of large data sets. Designed expressly for the professional developer, this book skips over the basics of database development to get you acquainted with the framework's processes and capabilities right away. The discussion covers each key Hadoop component individually, culminating in a sample application that brings all of the pieces together to illustrate the cooperation and interplay that make Hadoop a major big data solution. Coverage includes everything from storage and security to computing and user experience, with expert guidance on integrating other software and more.
Hadoop is quickly reaching significant market usage, and more and more developers are being called upon to develop big data solutions using the Hadoop framework. This book covers the process from beginning to end, providing a crash course for professionals needing to learn and apply Hadoop quickly.
- Configure storage, UE, and in-memory computing
- Integrate Hadoop with other programs including Kafka and Storm
- Master the fundamentals of Apache Big Top and Ignite
- Build robust data security with expert tips and advice
Hadoop's popularity is largely due to its accessibility. Open-source and written in Java, the framework offers almost no barrier to entry for experienced database developers already familiar with the skills and requirements real-world programming entails. Professional Hadoop gives you the practical information and framework-specific skills you need quickly.
- Sales Rank: #2322627 in Books
- Published on: 2016-05-23
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x .40" w x 7.40" l, .0 pounds
- Binding: Paperback
- 216 pages
From the Back Cover
Leverage Hadoop functionality to build better big data solutions
Open-source and Java-based, with almost no barrier to entry, Hadoop offers a practical big data solution that's quickly gaining market usage. Written by an expert team of certified Hadoop developers, committers, and Summit speakers, this book functions as a self-led training course on the framework's processes and capabilities. Each component is covered individually, culminating in a hands-on project that brings everything together to build a sample application. Skipping over the basics of database development, this book gets right to the point to help experienced developers get up to speed quickly and start employing Hadoop in real-world scenarios.
Professional Hadoop:
- Shows you how to configure storage, user experience, and in-memory computing using the Hadoop Stack
- Explains how to use Kafka real-time messaging and Storm data streaming to integrate Hadoop with other systems
- Demonstrates critical security features and techniques, with expert advice on keeping your data safe
- Teaches you the fundamentals of Apache Big Top packaging, testing and configuration, along with faster Map Reduce using Ignite
- Walks you through a sample application build to show how key components work together, with all sample code provided
Wrox Professional guides are planned and written by working programmers to meet the real-world needs of programmers, developers, and IT professionals. Focused and relevant, they address the issues technology professionals face every day. They provide examples, practical solutions, and expert education in new technologies, all designed to help programmers do a better job.
About the Author
About the authors
Benoy Antony is an Apache Hadoop Committer and Hadoop Architect at eBay.
Konstantin Boudnik is co-founder and CEO of Memcore.io, and is one of the early developers of Hadoop and a co-author of Apache Bigtop.
Cheryl Adams is a Senior Cloud Data & Infrastructure Architect in the healthcare data realm.
Branky Shao is a software engineer at eBay, and a contributor to the Cascading project.
Cazen Lee is a Software Architect at Samsung SDS.
Kai Sasaki is a Software Engineer at Treasure Data Inc.
Visit us at wrox.com where you have access to free code samples, Programmer to Programmer forums, and discussions on the latest happenings in the industry from around the world.
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