rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Apache Hadoop YARN LiveLessons (Video Training
  name:
    name part: Murthy, Arun
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Eadline, Doug
    role:
      role term: author.
  name:
    name part: Vavilapalli, Vinod
    role:
      role term: author.
  name:
    name part: Safari, an O'Reilly Media Company
  type of resource: moving image
  genre: videorecording
  genre: Electronic videos.
  origin info:
    place:
      place term: xx
    date issued: 2013
    edition: 1st edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file, approximately 7 hr., 3 min.)
  abstract: 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.
  note: Murthy, Arun.
  note: Videorecording.
  note: Electronic reproduction. Boston, MA : Safari, Available via World Wide Web.
  note: Mode of access: World Wide Web.
  identifier: 0133811069
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record creation date: 191213
    record change date: 20260128154903.4
    record identifier: in00004146363