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You're reading from  Hadoop Essentials

Product typeBook
Published inApr 2015
Reading LevelIntermediate
PublisherPackt
ISBN-139781784396688
Edition1st Edition
Languages
Java
Tools
Hadoop
Concepts
Data Processing
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Author (1)
Shiva Achari
Shiva Achari
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Shiva Achari

Shiva Achari has over 8 years of extensive industry experience and is currently working as a Big Data Architect consultant with companies such as Oracle and Teradata. Over the years, he has architected, designed, and developed multiple innovative and high-performance large-scale solutions, such as distributed systems, data centers, big data management tools, SaaS cloud applications, Internet applications, and Data Analytics solutions. He is also experienced in designing big data and analytics applications, such as ingestion, cleansing, transformation, correlation of different sources, data mining, and user experience in Hadoop, Cassandra, Solr, Storm, R, and Tableau. He specializes in developing solutions for the big data domain and possesses sound hands-on experience on projects migrating to the Hadoop world, new developments, product consulting, and POC. He also has hands-on expertise in technologies such as Hadoop, Yarn, Sqoop, Hive, Pig, Flume, Solr, Lucene, Elasticsearch, Zookeeper, Storm, Redis, Cassandra, HBase, MongoDB, Talend, R, Mahout, Tableau, Java, and J2EE. He has been involved in reviewing Mastering Hadoop, Packt Publishing. Shiva has expertise in requirement analysis, estimations, technology evaluation, and system architecture along with domain experience in telecoms, Internet applications, document management, healthcare, and media. Currently, he is supporting presales activities such as writing technical proposals (RFP), providing technical consultation to customers, and managing deliveries of big data practice groups in Teradata.
Read more about Shiva Achari

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YARN

YARN is Yet Another Resource Negotiator, the next generation compute and cluster management technology. YARN provides a platform to build/run multiple distributed applications in Hadoop. YARN was released in the Hadoop 2.0 version in 2012, marking a major change in Hadoop architecture. YARN took around 5 years to develop in an open community.

We discussed JobTracker being a single point of failure for MapReduce, and considering Hadoop is designed to run even in commodity servers, there is a good probability that the JobTracker can fail. JobTracker has two important functions: resource management, and job scheduling and monitoring.

YARN delegates and splits up the responsibility into separate daemons and achieves better performance and fault tolerance. Because of YARN, Hadoop, which could work only as a batch process, can now be designed to process interactive and real-time processing systems. This is a huge advantage as many systems, machines, sensors, and other sources generate huge...

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Hadoop Essentials
Published in: Apr 2015Publisher: PacktISBN-13: 9781784396688
© 2015 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Shiva Achari

Shiva Achari has over 8 years of extensive industry experience and is currently working as a Big Data Architect consultant with companies such as Oracle and Teradata. Over the years, he has architected, designed, and developed multiple innovative and high-performance large-scale solutions, such as distributed systems, data centers, big data management tools, SaaS cloud applications, Internet applications, and Data Analytics solutions. He is also experienced in designing big data and analytics applications, such as ingestion, cleansing, transformation, correlation of different sources, data mining, and user experience in Hadoop, Cassandra, Solr, Storm, R, and Tableau. He specializes in developing solutions for the big data domain and possesses sound hands-on experience on projects migrating to the Hadoop world, new developments, product consulting, and POC. He also has hands-on expertise in technologies such as Hadoop, Yarn, Sqoop, Hive, Pig, Flume, Solr, Lucene, Elasticsearch, Zookeeper, Storm, Redis, Cassandra, HBase, MongoDB, Talend, R, Mahout, Tableau, Java, and J2EE. He has been involved in reviewing Mastering Hadoop, Packt Publishing. Shiva has expertise in requirement analysis, estimations, technology evaluation, and system architecture along with domain experience in telecoms, Internet applications, document management, healthcare, and media. Currently, he is supporting presales activities such as writing technical proposals (RFP), providing technical consultation to customers, and managing deliveries of big data practice groups in Teradata.
Read more about Shiva Achari

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