hadoop demo session

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Price: 8000.00 INR

Course Objective SummaryDuring this course, you will learn:• Introduction to Big Data and Analytics• Introduct...

  • Category: Professional & Short Term Course
  • Published: 13/02/2015
  • Current Rating: /5 0 Vote

    Description

    Course Objective Summary


    During this course, you will learn:
    • Introduction to Big Data and Analytics
    • Introduction to Hadoop
    • Hadoop ecosystem - Concepts
    • Hadoop Map-reduce concepts and features
    • Developing the map-reduce Applications
    • Pig concepts
    • Hive concepts
    • Sqoop concepts
    • Flume Concepts
    • Oozie workflow concepts
    • Impala Concepts
    • Hue Concepts
    • HBASE Concepts
    • ZooKeeper Concepts
    • Real Life Use Cases
    Reporting Tool
    • Tableau
    1. Virtualbox/VM Ware
    • Basics
    • Installations
    • Backups
    • Snapshots
    2. Linux
    • Basics
    • Installations
    • Commands
    3. Hadoop
    • Why Hadoop?
    • Scaling
    • Distributed Framework
    • Hadoop v/s RDBMS
    • Brief history of hadoop
    4. Setup hadoop
    • Pseudo mode
    • Cluster mode
    • Ipv6
    • Ssh
    • Installation of java, hadoop
    • Configurations of hadoop
    • Hadoop Processes ( NN, SNN, JT, DN, TT)
    • Temporary directory
    • UI
    • Common errors when running hadoop cluster, solutions
    5. HDFS- Hadoop distributed File System
    • HDFS Design and Architecture
    • HDFS Concepts
    • Interacting HDFS using command line
    • Interacting HDFS using Java APIs
    • Dataflow
    • Blocks
    • Replica
    6. Hadoop Processes
    • Name node
    • Secondary name node
    • Job tracker
    • Task tracker
    • Data node
    7. Map Reduce
    • Developing Map Reduce Application
    • Phases in Map Reduce Framework
    • Map Reduce Input and Output Formats
    • Advanced Concepts
    • Sample Applications
    • Combiner
    8. Joining datasets in Mapreduce  jobs
    • Map-side join
    • Reduce-Side join
    9. Map reduce – customization
    • Custom Input format class
    • Hash Partitioner
    • Custom Partitioner
    • Sorting techniques
    • Custom Output format class
    10. Hadoop Programming Languages :-
    I.HIVE
    • Introduction
    • Installation and Configuration
    • Interacting HDFS using HIVE
    • Map Reduce Programs through HIVE
    • HIVE Commands
    • Loading, Filtering, Grouping….
    • Data types, Operators…..
    • Joins, Groups….
    • Sample



    Phone Number : 8179736190

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