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You're reading from  Securing Hadoop

Product typeBook
Published inNov 2013
Reading LevelIntermediate
PublisherPackt
ISBN-139781783285259
Edition1st Edition
Languages
Java
Tools
Hadoop
Concepts
Data Processing
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Author (1)
Sudheesh Narayan
Sudheesh Narayan
author image
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.
Read more about Sudheesh Narayan

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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

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Securing Hadoop
Published in: Nov 2013Publisher: PacktISBN-13: 9781783285259
© 2013 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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.
Read more about Sudheesh Narayan

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