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


In this chapter, we understood the overall security challenges for securing Hadoop-based Big Data ecosystem deployments. We looked at the two different types (source and insights) of data that is stored in the Hadoop ecosystem and how important it is to secure these datasets to retain business confidence. We detailed out the key security considerations for securing Hadoop, and presented the overall security reference architecture that can be used as a guiding light for the overall security design of a Big Data ecosystem. In the rest of the book, we will use this reference architecture as a guide to implement the Hadoop-based secured Big Data ecosystem.

In the next chapter, we will look in depth at the Kerberos security model and how this is deployed in a secured Hadoop cluster. We will look at the Hadoop security model in detail and understand the key design considerations based on the current Hadoop security implementation.