Cluster Performance Tuning

Apache Hadoop 1.0
  • 13 Videos | 1h 22m 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

  • Playable
    1. 
    Examining Tune Up Options for HDFS
    3m 18s
    UP NEXT
  • Playable
    2. 
    Examining HDFS Data Blocks
    4m 21s
  • Locked
    3. 
    Testing Data Blocks
    2m 14s
  • Locked
    4. 
    Performance Tuning HDFS
    11m 31s
  • Locked
    5. 
    Examining Tune UP Options for YARN
    6m 40s
  • Locked
    6. 
    Configure Speculative Execution
    2m 55s
  • Locked
    7. 
    Examining MapReduce Tune Up Options
    3m 7s
  • Locked
    8. 
    Performance Tuning MapReduce
    5m 5s
  • Locked
    9. 
    Examining Benchmarking
    7m 42s
  • Locked
    10. 
    Examining Best Practices for Benchmarking
    4m 29s
  • Locked
    11. 
    Stress Testing and Benchmarking Hadoop Clusters
    11m 53s
  • Locked
    12. 
    Examining Applications Modelling
    8m 33s
  • Locked
    13. 
    Exercise: Tuning a Hadoop Cluster
    5m 26s

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