November 2013
Intermediate to advanced
116 pages
2h 44m
English
Overview
"Securing Hadoop" provides a comprehensive guide to implementing and understanding security within a Hadoop-based Big Data ecosystem. The book explores key topics like authentication, authorization, and data encryption, ensuring you gain practical insights on how to protect sensitive information effectively and integrate security measures into your Hadoop platform.
What this Book will help me do
- Understand the key security challenges associated with Hadoop and Big Data platforms.
- Learn how to implement Kerberos authentication and integrate it with Hadoop.
- Master the configuration of authorization mechanisms for a secure Hadoop ecosystem.
- Gain knowledge about security event auditing and monitoring techniques specifically for Hadoop.
- Get a detailed overview of tools and protocols to build and secure a Hadoop infrastructure effectively.
Author(s)
Sudheesh Narayan is an experienced professional in the fields of Hadoop and enterprise security. With years of expertise in designing and implementing secure distributed data platforms, Sudheesh brings practical insights and step-by-step solutions to Hadoop practitioners. His teaching approach is hands-on, ensuring readers can directly apply theoretical concepts to real-world scenarios.
Who is it for?
This book is ideal for Hadoop practitioners including solution architects, administrators, and developers seeking to enhance their understanding of security mechanisms for Hadoop. It assumes a foundational knowledge of Hadoop and requires familiarity with basic security concepts. Readers aiming to implement secure Hadoop systems for enterprise-level applications will find this book especially beneficial.
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