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Computer Science - Database Management & Information Retrieval | Practical Hadoop Security

Practical Hadoop Security

Lakhe, Bhushan

2014, XVI, 220 p. 88 illus.

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    • Only book on the market to exclusively focus on security implementation for Hadoop deployments
    • covers encryption technologies of renewed interest to companies in light on the PRISM revelations
    • Provides step-by-step hands-on examples for practical use
Practical Hadoop Security is an excellent resource for administrators planning a production Hadoop deployment who want to secure their Hadoop clusters. A detailed guide to the security options and configuration within Hadoop itself, author Bhushan Lakhe takes you through a comprehensive study of how to implement defined security within a Hadoop cluster in a hands-on way.

You will start with a detailed overview of all the security options available for Hadoop, including popular extensions like Kerberos and OpenSSH, and then delve into a hands-on implementation of user security (with illustrated code samples) with both in-the-box features and with security extensions implemented by leading vendors.

No security system is complete without a monitoring and tracing facility, so Practical Hadoop Security next steps you through audit logging and monitoring technologies for Hadoop, as well as ready to use implementation and configuration examples--again with illustrated code samples.

The book concludes with the most important aspect of Hadoop security – encryption. Both types of encryptions, for data in transit and data at rest, are discussed at length with leading open source projects that integrate directly with Hadoop at no licensing cost. 

Practical Hadoop Security:

  • Explains importance of security, auditing and encryption within a Hadoop installation
  • Describes how the leading players have incorporated these features within their Hadoop distributions and provided extensions
  • Demonstrates how to set up and use these features to your benefit and make your Hadoop installation secure without impacting performance or ease of use

Content Level » Popular/general

Related subjects » Database Management & Information Retrieval - Security and Cryptology

Table of contents 

Chapter 1. Understanding Security Concepts

Chapter 2. Introducing Hadoop

Chapter 3. Introducing Hadoop Security

Chapter 4. Open Source Authentication in Hadoop

Chapter 5. Implementing Granular Authorization

Chapter 6. Hadoop Logs: Relating and Interpretation

Chapter 7. Monitoring in Hadoop

Chapter 8. Encryption in Hadoop

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