Introduction to BIG DATA
  • Characteristic 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.
  • Hands On.
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 job status on web UI.
  • High availability.
  • Federation.
  • Hands On.
YARN
  • Architecture.
  • Scheduler.
  • Resource Manager.
  • Yarn hands on.
Installation and Configuring Hadoop
  • Types of installation (standalone, distributed)
  • Hadoop distributions (Apache, cloudera and hortonworks)
  • Setup linux for Hadoop insallation (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.
  • Bench-marking cluster.
  • Hand On.
Advance Administration Activities
  • Superuser.
  • Authorization.
  • Secure Mode.
  • Adding and de-commissioning nodes.
  • Secondary NameNode.
  • Failover.
  • Manage Quotas.
  • Enabling Thrash.
  • Hand On.
Monitoring Hadoop Cluster
  • Hadoop Infrastructure monitoring.
  • Hadoop specific monitoring.
  • Install and configure Nagios / Gangila.
  • Capture metrics.
  • Hands On.
Other Components of Hadoop Ecosystem
  • Discuss Hive, Sqoop, Pig, HBase, Flume.
  • Use cases of each.
  • Use Hadoop streaming to write code in Perl.
  • Python.
  • Hand On.

Course Highlights –

  • Every course is trained by working professionals only
  • Ample practical assignments are given to the trainees
  • Real time project and examples to support practical learning
  • Mock interviews to simulate and help students face job interviews
  • Repeat the whole course with no extra cost
  • Flexible weekend classes and special weekday classes
  • Confirmation Letter / Training Letter / Project Letter : For Degree Pursing Candidates To Submit In Colleges
  • Experience Certificates : All students would be given experience certificates after successful completion of project.

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