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Hadoop Training

    Module 1: Big Data
  • • BigData
  • • What is BigData
  • • Characterstics of BigData
  • • Problems with BigData
  • • Handling BigData!!!

  • Module 2: Hadoop
  • • History of Hadoop
  • • What is Hadoop
  • • Benefits of hadoop
  • • Problems with Existing Distributed Systems to deal BigData
  • • The Five Deamons working
    • • NameNode
    • • JobTracker
    • • SecondaryNameNode
    • • TaskTracker
    • • DataNode
  • • What is YARN
  • • Benefits of YARN

  • Module 3: Architecture
  • • HDFS Architecture

  • Module 4: Writing Map Reduce Programs
  • • Understanding HADOOP Internal API
  • • Basic programs of HADOOP MapReduce ApplicationForm
    • - Driver Code
    • - Mapper Code
    • - Reducer Code
  • • Eclipse intigration with HADOOP for Rapid Application Development
  • • Partitoner
  • • Combiner
  • • Benefits of Partitoner and combiners
    Module 5: Hbase
  • • HBASE
  • • Basics of HBASE
  • Module 6: HIve
  • • Introduction to hive
  • • Creating tables in hive
  • • Running queries

  • Module 7: Pig
  • • Pig
  • • Introduction to pig
  • • Different modes of pig
  • • when to use hive and when to use pig

  • Module 8: Sqoop
  • • Sqoop
  • • Importing & Exporting data from RDBMS using sqoop

  • Module 9:
  • • Introduction to Ooziee
  • • Advance Big Data
  • • Hands ons Exercise with POC for each & Combined concept
  • • How to resolve problems with Big Data

 

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