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Introduction to Big data

  • Characteristics of Big Data
  • Big data collection and cleanup
  • Why analyze big data
  • Why parallel computing important
  • Various products for handling big data

Introducing Hadoop

  • Hadoop Stack
  • Components of Hadoop
  • Starting Hadoop
  • Various Hadoop processes

Working with HDFS

  • Basic file commands
  • Reading & writing to files
  • Run a word count on a large text file
  • Web based UI
  • View jobs status on Hadoop prompt
  • View jobs status on web UI
  • High availability


  • Resource Manager
  • Yarn Hands On

Installation & Configuring Hadoop

  • Types of installation (standalone, distributed)
  • Hadoop distributions (Apache, cloudera and hortonworks)
  • Setup linux for Hadoop installation (Java and SSH)
  • Hadoop directory structure
  • XML, masters and slave files
  • Checking system health
  • Checking file system health
  • Block size, replication factor and block health monitoring
  • Benchmarking cluster


Advanced administration activities

  • Secure Mode
  • Adding and de-commissioning nodes
  • Secondary NameNode
  • Manage Quotas l Enabling Thrash l Hands On

Monitoring Hadoop Cluster

  • Hadoop infrastructure monitoring
  • Hadoop specific monitoring
  • Install and configure Nagios / Ganglia
  • Capture metrics

Other Components of Hadoop Ecosystem

  • Discuss Hive, Sqoop, Pig, HBase, Flume
  • Use cases of each
  • Use Hadoop streaming to write code in Perl / Python


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