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Mastering Hadoop 3

You're reading from   Mastering Hadoop 3 Big data processing at scale to unlock unique business insights

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781788620444
Length 544 pages
Edition 1st Edition
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Authors (3):
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Timothy Wong Timothy Wong
Author Profile Icon Timothy Wong
Timothy Wong
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
Chanchal Singh Chanchal Singh
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Chanchal Singh
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Introduction to Hadoop 3 FREE CHAPTER
2. Journey to Hadoop 3 3. Deep Dive into the Hadoop Distributed File System 4. YARN Resource Management in Hadoop 5. Internals of MapReduce 6. Section 2: Hadoop Ecosystem
7. SQL on Hadoop 8. Real-Time Processing Engines 9. Widely Used Hadoop Ecosystem Components 10. Section 3: Hadoop in the Real World
11. Designing Applications in Hadoop 12. Real-Time Stream Processing in Hadoop 13. Machine Learning in Hadoop 14. Hadoop in the Cloud 15. Hadoop Cluster Profiling 16. Section 4: Securing Hadoop
17. Who Can Do What in Hadoop 18. Network and Data Security 19. Monitoring Hadoop 20. Other Books You May Enjoy

Overview of Hadoop 3 and its features

The first alpha release of Hadoop version 3.0.0 was on 30 August 2016. It was called version 3.0.0-alpha1. This was the first alpha release in a series of planned alphas and betas that ultimately led to 3.0.0 GA. The intention behind this alpha release was to quickly gather and act on feedback from downstream users.

With any such releases, there are some key drivers that lead to its birth. These key drivers create benefits that will ultimately help in the better functioning of Hadoop-augmented enterprise applications. Before we discuss the features of Hadoop 3, you should understand these driving factors. Some driving factors behind the release of Hadoop 3 are as follows:

  • A lot of bug fixes and performance improvements: Hadoop has a growing open source community of developers regularly adding major/minor changes or improvements...
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