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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
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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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Summary

In this chapter we looked at the general approach for identifying security incidents and events in a secured Hadoop cluster. The SIEM systems consists of a collection agent that gathers the events from the cluster and publishes them to the monitoring server. The monitoring server is configured with rules and policies that are applied on the collected events to generate security alerts and reports. We also looked at how we configure the audit and security logs for the various components in a secured Hadoop cluster.

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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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