Book Image

Securing Hadoop

By : Sudheesh Narayan
Book Image

Securing Hadoop

By: Sudheesh Narayan

Overview of this book

Security of Big Data is one of the biggest concerns for enterprises today. How do we protect the sensitive information in a Hadoop ecosystem? How can we integrate Hadoop security with existing enterprise security systems? What are the challenges in securing Hadoop and its ecosystem? These are the questions which need to be answered in order to ensure effective management of Big Data. Hadoop, along with Kerberos, provides security features which enable Big Data management and which keep data secure. This book is a practitioner's guide for securing a Hadoop-based Big Data platform. This book provides you with a step-by-step approach to implementing end-to-end security along with a solid foundation of knowledge of the Hadoop and Kerberos security models. This practical, hands-on guide looks at the security challenges involved in securing sensitive data in a Hadoop-based Big Data platform and also covers the Security Reference Architecture for securing Big Data. It will take you through the internals of the Hadoop and Kerberos security models and will provide detailed implementation steps for securing Hadoop. You will also learn how the internals of the Hadoop security model are implemented, how to integrate Enterprise Security Systems with Hadoop security, and how you can manage and control user access to a Hadoop ecosystem seamlessly. You will also get acquainted with implementing audit logging and security incident monitoring within a Big Data platform.
Table of Contents (15 chapters)
Securing Hadoop
About the Author
About the Reviewers

Chapter 6. Securing Sensitive Data in Hadoop

In Chapter 5, Integrating Hadoop with Enterprise Security Systems, we looked at integrating a secured Hadoop cluster with an Enterprise Identity Management system and enforce user authorization within Hadoop. User privileges are managed centrally and then synchronized with the secured Hadoop cluster. This enables enterprise users to access secured Hadoop services seamlessly. As an organization matures with their Big Data implementations, there is an increasing need to move sensitive information into the Hadoop ecosystem to generate valuable insights. Sensitive data in the cluster needs special protection and should be secured both at rest and in motion.

In this chapter, we look at how to secure sensitive data within a Hadoop ecosystem.

These are the topics we'll be covering in this chapter:

  • Securing sensitive data in Hadoop

  • Encrypting sensitive data in Hadoop

  • Implementing data encryption in Hadoop