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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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Configuring Kerberos for Hadoop ecosystem components

The Hadoop ecosystem is growing continuously and maturing with increasing enterprise adoption. In this section, we look at some of the most important Hadoop ecosystem components, their architecture, and how they can be secured.

Securing Hive

Hive provides the ability to run SQL queries over the data stored in the HDFS. Hive provides the Hive query engine that converts Hive queries provided by the user to a pipeline of MapReduce jobs that are submitted to Hadoop (JobTracker or ResourceManager) for execution. The results of the MapReduce executions are then presented back to the user or stored in HDFS. The following figure shows a high-level interaction of a business user working with Hive to run Hive queries on Hadoop:

There are multiple ways a Hadoop user can interact with Hive and run Hive queries; these are as follows:

  • The user can directly run the Hive queries using Command Line Interface (CLI). The CLI connects to the Hive metastore using...

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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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