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Securing Hadoop

You're reading from Securing Hadoop

Product type Book

Published in Nov 2013

Publisher Packt

ISBN-13 9781783285259

Pages 116 pages

Edition 1st Edition

Languages

Concepts

Data Processing

Author (1):

Sudheesh Narayan

Table of Contents (15) Chapters

Securing Hadoop

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Hadoop Security Overview

2. Hadoop Security Design

3. Setting Up a Secured Hadoop Cluster

4. Securing the Hadoop Ecosystem

5. Integrating Hadoop with Enterprise Security Systems

6. Securing Sensitive Data in Hadoop

7. Security Event and Audit Logging in Hadoop

Solutions Available for Securing Hadoop

Index

Accessing a secured Hadoop cluster from an enterprise network

Typical deployment architecture of a secured Hadoop cluster in an enterprise context is shown in the following diagram:

The Corporate Network is firewalled with the Hadoop cluster and connectivity is only provided through the EdgeNodes (also also known as Gateway Servers). The Gateway Server allows an entry point for external applications, tools, and users to the secured Hadoop cluster. It is deployed between the Hadoop cluster and the corporate network. As all users log in to this machine and the credentials for the user defined in this machine are used while accessing the Hadoop cluster, this node can be used to provide access control, policy enforcement, logging, and gateway services to the Hadoop environment. Depending on the number of users accessing the Hadoop cluster, there could be more than one Gateway Server in a Hadoop cluster.

Clients in the corporate network can't directly access the Hadoop cluster. They log in...

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Authors (1)

Sudheesh Narayan

Sudheesh Narayanan is a Technology Strategist and Big Data Practitioner with expertise in technology consulting and implementing Big Data solutions. With over 15 years of IT experience in Information Management, Business Intelligence, Big Data & Analytics, and Cloud & J2EE application development, he provided his expertise in architecting, designing, and developing Big Data products, Cloud management platforms, and highly scalable platform services. His expertise in Big Data includes Hadoop and its ecosystem components, NoSQL databases (MongoDB, Cassandra, and HBase), Text Analytics (GATE and OpenNLP), Machine Learning (Mahout, Weka, and R), and Complex Event Processing. Sudheesh is currently working with Genpact as the Assistant Vice President and Chief Architect – Big Data, with focus on driving innovation and building Intellectual Property assets, frameworks, and solutions. Prior to Genpact, he was the co-inventor and Chief Architect of the Infosys BigDataEdge product.

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