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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

Hadoop security pillars

Before designing security for your Hadoop cluster, you should be very clear about the different aspects of security that have to be incorporated. This section talks about the different pillars of security that are required to make your Hadoop cluster secure and threat-proof. We will discuss each of those pillars in brief in this section. Later, they will be elaborately discussed in different sections of this chapter. 

The following diagram gives you a glimpse of the Hadoop security pillars:

Before discussing the rings in the preceding diagram, we should understand one important aspect of securing the Hadoop cluster, and that is Security Administration. As a Hadoop security administrator, you have to perform the following activities at a high level:

  • Get or develop a means of centralized Hadoop security enablement in terms of automated scripts...
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