Hadoop Design Principles

Apache Hadoop 2.0
  • 11 Videos | 48m 15s
  • Includes Assessment
  • Earns a Badge
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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

  • Playable
    1. 
    Design Principles for Hadoop
    4m 17s
    UP NEXT
  • Playable
    2. 
    The Principle of Sharing Nothing
    3m 12s
  • Locked
    3. 
    The Principle of Embracing Failure
    4m 22s
  • Locked
    4. 
    Hadoop Distributed File System (HDFS)
    4m 46s
  • Locked
    5. 
    Introducing HDFS Daemons
    3m 23s
  • Locked
    6. 
    Introducing Hadoop YARN
    3m 37s
  • Locked
    7. 
    YARN Daemons on the Master Server
    2m 33s
  • Locked
    8. 
    YARN Daemons on the Data Server
    3m 9s
  • Locked
    9. 
    Introducing MapReduce
    2m 30s
  • Locked
    10. 
    Introducing Data Analytics
    4m 54s
  • Locked
    11. 
    Mastering the Hadoop Ecosystem
    6m 3s

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