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Professional Hadoop

By Benoy Antony and Konstantin Boudnik and Cheryl Adams and Branky Shao and Cazen Lee and Kai Sasaki
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Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Professional Hadoop equips readers with comprehensive insights into Hadoop's architecture and data processing capabilities. This book guides professionals through the intricacies of building robust and scalable big data applications using Hadoop's ecosystem, featuring practical examples and advanced techniques. Ideal for data engineers and IT professionals, it delves into best practices and essential tools for mastering Hadoop's potential in real-world applications.
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Format: Paperback / softback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

You might enjoy this book if you're keen to delve into the detailed and practical aspects of using Hadoop for big data processing. It offers insights for both beginners and experienced professionals, providing comprehensive guidance on setting up, managing, and optimising Hadoop environments for enhanced technology solutions.

Book Hero thinking about your next read

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.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description
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.

Book Details

INFORMATION

ISBN: 9781119267171

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 01 July 2016

Country: United States

Imprint: Wrox Press

Audience: Professional and scholarly

DIMENSIONS

Spine width: 10.0mm

Width: 188.0mm

Height: 234.0mm

Weight: 367g

Pages: 216

Collections

Benoy Antony Branky Shao Cazen Lee Cheryl Adams Computing & Technology Education & Reference Kai Sasaki Konstantin Boudnik Non-Fiction

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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