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 looked at the various challenges for integrating a secured Hadoop cluster with Enterprise systems. One of the main concerns for organizations adopting Big Data is its security. Having the ability to manage Hadoop users' identity and authorizations centrally using existing EIM systems clears the first hurdle in the Big Data adoption journey. In this chapter, we looked at the implementation details for integrating EIM systems with the Hadoop KDC and how seamlessly Enterprise existing security process can be easily extended to Hadoop. Another big concern for organizations is usually around network security. In this chapter, we detailed out the implementation approach to enforce perimeter security around the Hadoop cluster and how to provide end users with seamless access from corporate networks to the secured Hadoop cluster using HttpFS, HUE, and Knox Gateway Server.

In the next chapter, we look at another important security concern for Big Data adoption and that...