Apache Hadoop YARN LiveLessons (Video Training)

Apache Hadoop YARN Fundamentals LiveLessons is the first complete video training course on the basics of Apache Hadoop version 2 with YARN. The tutorial begins with MapReduce and Big Data fundamentals and moves to YARN design, installation (laptop, cluster, and cloud), administration, running applic...

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Bibliographic Details
Main Authors: Murthy, Arun (Author), Eadline, Doug (Author), Vavilapalli, Vinod (Author)
Corporate Author: Safari, an O'Reilly Media Company.
Format: Electronic Video
Language:English
Published: Addison-Wesley Professional, 2013.
Edition:1st edition
Online Access:CONNECT
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520 |a Apache Hadoop YARN Fundamentals LiveLessons is the first complete video training course on the basics of Apache Hadoop version 2 with YARN. The tutorial begins with MapReduce and Big Data fundamentals and moves to YARN design, installation (laptop, cluster, and cloud), administration, running applications (MapReduce2, Pig and Hive), writing new applications, and useful frameworks. Additional coverage of Ambari, Ganglia, Nagios and the Hortonworks HDP is provided. The source code repository for this LiveLesson can be found at www.clustermonkey.net/download/LiveLessons/Hadoop_YARN_Fundamentals/ . About the Instructor Douglas Eadline is the instructor for this essential Big Data LiveLessons. Eadline is a practitioner and writer in the Linux Cluster community and previously authored Hadoop Fundamentals LiveLessons which focused on many of the basic aspects of Hadoop processing. Eadline is a co-authorof the companion book Apache Hadoop YARN, Moving beyond MapReduce and Batch Processing with Apache Hadoop 2. Doug provides a clear and complete introduction to many of the important Apache Hadoop YARN tasks and topics. In addition to a sound background on Hadoop design, he provides several installation scenarios including a laptop, cluster, and cloud. The Ambari graphic installation tool is explained and used for both installation and administration. You will also learn how to write your own YARN applications and what is needed to run Hadoop version 1 applications. Some familiarity with Java, Hadoop MapReduce and the Hadoop Distributed File System is helpful but not necessary. All example code and Lesson notes are available for download. 
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