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You're reading from  Securing Hadoop

Product typeBook
Published inNov 2013
Reading LevelIntermediate
PublisherPackt
ISBN-139781783285259
Edition1st Edition
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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.
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Hadoop distribution with enhanced security support


Intel Distribution of Apache Hadoop software provides some enhanced security features in a Hadoop distribution. Some of the key features for Intel's distribution are:

  • It provides an integrated data encryption feature for sensitive data. The encryption is based on OpenSSL 1.0.1.C, which is optimized for Intel AES-NI.

  • Apart from encryption, Intel's distribution supports out of the box compression and encryption capabilities.

  • Sensitive data is never exposed either in motion or at rest. Thus, it is used to ingest encrypted data into the Hadoop ecosystem and process the encrypted data. Encryption keys are integrated using the Java keystore functionality.

  • Intel's Manager for Apache Hadoop Software provides deployment, management, monitoring, alerting, and security features.

  • It provides a feature for managing user access to data and services using Kerberos by creating access control lists (ACLs) and limiting user access to data sets and services.

  • Deployment and setup of the secure Hadoop cluster is automated and integrated with key management systems.

    Note

    More details on Intel's Hadoop Distribution are available at https://hadoop.intel.com.

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Securing Hadoop
Published in: Nov 2013Publisher: PacktISBN-13: 9781783285259

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