Hadoop Design Principles

Apache Hadoop    |    Intermediate
  • 11 videos | 42m 45s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 2 users Rating 5.0 of 2 users (2)
Hadoop's HDFS is a highly fault-tolerant distributed file system suitable for applications that have large data sets. Explore the principles of supercomputing and Hadoop's open source software components.

WHAT YOU WILL LEARN

  • Recall the design principles of hadoop
    Describe the design principles of sharing nothing
    Describe the design principles of embracing failure
    Describe the components of the hadoop distributed file system (hdfs)
    Describe the four main hdfs daemons
    Describe hadoop yarn
  • Describe the roles of the resource manager daemon
    Describe the yarn nodemanager and applicationmaster daemons
    Define mapreduce and describe its relations to yarn
    Describe data analytics
    Describe the reasons for the complexities of the hadoop ecosystem

IN THIS COURSE

  • 4m 17s
    After completing this video, you will be able to recall the design principles of Hadoop. FREE ACCESS
  • 3m 12s
    After completing this video, you will be able to describe the design principles of sharing nothing. FREE ACCESS
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    3.  The Principle of Embracing Failure
    4m 22s
    After completing this video, you will be able to describe the design principles of embracing failure. FREE ACCESS
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    4.  Hadoop Distributed File System (HDFS)
    4m 46s
    After completing this video, you will be able to describe the components of the Hadoop Distributed File System. FREE ACCESS
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    5.  Introducing HDFS Daemons
    3m 23s
    Upon completion of this video, you will be able to describe the four main HDFS daemons. FREE ACCESS
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    6.  Introducing Hadoop YARN
    3m 37s
    After watching this video, you will be able to describe Hadoop YARN. FREE ACCESS
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    7.  YARN Daemons on the Master Server
    2m 33s
    After completing this video, you will be able to describe the roles of the Resource Manager daemon. FREE ACCESS
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    8.  YARN Daemons on the Data Server
    3m 9s
    After completing this video, you will be able to describe the YARN NodeManager and ApplicationMaster daemons. FREE ACCESS
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    9.  Introducing MapReduce
    2m 30s
    In this video, you will learn how to define MapReduce and describe its relations to YARN. FREE ACCESS
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    10.  Introducing Data Analytics
    4m 54s
    After completing this video, you will be able to describe data analytics. FREE ACCESS
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    11.  Mastering the Hadoop Ecosystem
    6m 3s
    Upon completion of this video, you will be able to describe the reasons for the complexities of the Hadoop ecosystem. FREE ACCESS

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