Data Refinery with YARN

Apache Hadoop    |    Intermediate
  • 7 videos | 23m 24s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 2 users Rating 4.5 of 2 users (2)
YARN is a parallel processing framework that provides the resources for data computations. Explore the theory of parallel processing and the architecture of the YARN framework.

WHAT YOU WILL LEARN

  • Describe parallel processing in the context of supercomputing
    List the components of yarn and identify their primary functions
    Diagram yarn resource manager and identify its key components
    Diagram yarn node manager and identify its key components
  • Diagram yarn application master and identify its key components
    Describe the operations of yarn
    Identify the standard configuration parameters to be changed for yarn

IN THIS COURSE

  • 5m 57s
    Upon completion of this video, you will be able to describe parallel processing in the context of supercomputing. FREE ACCESS
  • 4m 45s
    Upon completion of this video, you will be able to list the components of YARN and identify their primary functions. FREE ACCESS
  • Locked
    3.  YARN Resource Manager
    1m 46s
    During this video, you will learn how to diagram the YARN Resource Manager and identify its key components. FREE ACCESS
  • Locked
    4.  YARN Node Manager
    3m 19s
    In this video, you will learn how to diagram the YARN Node Manager and identify its key components. FREE ACCESS
  • Locked
    5.  YARN ApplicationMaster
    3m 29s
    During this video, you will learn how to diagram the YARN Application Master and identify its key components. FREE ACCESS
  • Locked
    6.  YARN Job Failure
    1m 40s
    After completing this video, you will be able to describe the operations of YARN. FREE ACCESS
  • Locked
    7.  YARN Configurations
    2m 29s
    In this video, you will learn how to identify the standard configuration parameters that need to be changed for YARN. FREE ACCESS

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