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

Configuring users for Hadoop

All users required to run MapReduce jobs on the cluster need to be set up all the nodes in the cluster. In a large cluster, setting up these users will be very time consuming. So the best practice is to integrate the existing enterprise users in Active Directory or LDAP using cross-realm authentication in Kerberos.

Users are centrally managed in Active Directory or LDAP, and we set up a one-way cross-realm trust between Active Directory/LDAP and KDC on the cluster. Thus, the Hadoop service principal doesn't have to be set up in Active Directory/LDAP, and they authenticate locally on the cluster with KDC. This also ensures that the cluster load is isolated from the rest of the enterprise. We look at how to integrate Hadoop security with Enterprise Security Systems in subsequent chapters.