Professional Hadoop 1st Edition, Kindle Edition

4.0 out of 5 stars 2 customer reviews
ISBN-13: 978-1119267171
ISBN-10: 111926717X
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Editorial Reviews

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, 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 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.

Product details

  • File Size: 8478 KB
  • Print Length: 188 pages
  • Page Numbers Source ISBN: 111926717X
  • Publisher: Wrox; 1 edition (May 3, 2016)
  • Publication Date: May 3, 2016
  • Sold by: Amazon Digital Services LLC
  • Language: English
  • ASIN: B01F69Z1PS
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Lending: Enabled
  • Screen Reader: Supported
  • Enhanced Typesetting: Enabled
  • Amazon Best Sellers Rank: #1,844,202 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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on July 15, 2016
Format: Paperback|Verified Purchase
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on January 18, 2017
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