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Master Hadoop Cluster Administration

Course Summary

Mastering the Hadoop Cluster Administration with multinode setup.


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    Course Syllabus

    • Welcome to the Course
      • Introduction to Course
      • Career Opportunities with Hadoop
      • Terminology used in entire course
    • Introduction to Hadoop
      • Data Explosion and conventional systems
      • Why Hadoop ?
      • Big Data example data set
      • Hadoop Origin and Distributions
    • Setting up Virtual machine and Single Node Cluster
      • Setting up Oracle Virtual machine
      • Some Basic Linux Commands 1
      • Some Basic Linux Commands -2
      • Hadoop Single Node Cluster setup - 1
      • Hadoop Single Node Cluster setup - 2
      • Hadoop HDFS Commands
    • HDFS Architecture and Concepts
      • HDFS Architecture
      • HDFS Concept (NameNode and DataNode)
      • Anatomy of HDFS file read and write
      • Other HDFS Concepts
    • MapReduce Framework
      • What is MapReduce ? Mapreduce example
      • JobTracker and TaskTrackers
      • Job Submission process
      • Mapreduce Concept and Features
    • Hadoop MultiNode Cluster Setup
      • Hadoop MultiNode Cluster setup - 1
      • Hadoop MultiNode Cluster setup - 2
    • Hadoop Mapreduce Commands
      • Mapreduce Commands - 1
      • Mapreduce Commands - 2
    • HDFS Admin Commands
      • HDFS Admin Commands - 1
      • HDFS Admin Commands - 2
    • Planning Of Hadoop Cluster
      • General Planning Considerations of Cluster
      • Configuring the System and OS parameters
    • Hadoop Specific Configuration Walkthrough
      • HDFS Configurations
      • Mapred and Common Configurations
    • Cluster Maintenance - 1
      • Adding DataNodes and TaskTrackers
      • Secondary NameNode and MetaData backup
    • Cluster Maintenance - 2
      • Clustered Shell and Configuration Management
      • Recovering the NameNode
    • Cluster Monitoring
      • Types of Monitoring
      • Monitoring with Nagios
      • Monitoring with Ganglia


Course Fee:
USD 149

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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