Cluster Performance Tuning

Apache Hadoop    |    Intermediate
  • 13 videos | 1h 17m 12s
  • Includes Assessment
  • Earns a Badge
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Hadoop can scale up from single servers to thousands of machines, each offering local computation and storage. Examine tune up options, best practices for performance tuning, HDFS, YARN and MapReduce.

WHAT YOU WILL LEARN

  • Describe the configuration files and parameters used in performance tuning of hdfs
    Describe the sizing and balancing of the hdfs data blocks
    Describe the use of testdfsio
    Performance tune hdfs
    Describe the configuration files and parameters used in performance tuning of yarn
    Configure speculative execution
    Describe the configuration files and parameters used in performance tuning of mapreduce
  • Tune up mapreduce for performance reasons
    Describe the practice of benchmarking on a hadoop cluster
    Describe the different tools used for benchmarking a cluster
    Perform a benchmark of a hadoop cluster
    Describe the purpose of application modelling
    Optimize memory and benchmark a hadoop cluster

IN THIS COURSE

  • 3m 18s
    After completing this video, you will be able to describe the configuration files and parameters used for performance tuning of HDFS. FREE ACCESS
  • 4m 21s
    Upon completion of this video, you will be able to describe the sizing and balancing of HDFS data blocks. FREE ACCESS
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    3.  Testing Data Blocks
    2m 14s
    Upon completion of this video, you will be able to describe the use of TestDFSIO. FREE ACCESS
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    4.  Performance Tuning HDFS
    11m 31s
    Learn how to performance tune HDFS. FREE ACCESS
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    5.  Examining Tune UP Options for YARN
    6m 40s
    After completing this video, you will be able to describe the configuration files and parameters used for performance tuning of YARN. FREE ACCESS
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    6.  Configure Speculative Execution
    2m 55s
    In this video, you will configure speculative execution settings. FREE ACCESS
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    7.  Examining MapReduce Tune Up Options
    3m 7s
    Upon completion of this video, you will be able to describe the configuration files and parameters used for performance tuning of MapReduce. FREE ACCESS
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    8.  Performance Tuning MapReduce
    5m 5s
    During this video, you will learn how to tune MapReduce for performance. FREE ACCESS
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    9.  Examining Benchmarking
    7m 42s
    After completing this video, you will be able to describe the practice of benchmarking a Hadoop cluster. FREE ACCESS
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    10.  Examining Best Practices for Benchmarking
    4m 29s
    Upon completion of this video, you will be able to describe the different tools used for benchmarking a cluster. FREE ACCESS
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    11.  Stress Testing and Benchmarking Hadoop Clusters
    11m 53s
    During this video, you will learn how to perform a benchmark on a Hadoop cluster. FREE ACCESS
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    12.  Examining Applications Modelling
    8m 33s
    After completing this video, you will be able to describe the purpose of application modeling. FREE ACCESS
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    13.  Exercise: Tuning a Hadoop Cluster
    5m 26s
    In this video, learn how to optimize memory and benchmark a Hadoop cluster. FREE ACCESS

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