Hadoop Admin

Apache Hadoop is the open source data management software that helps organizations analyze huge volumes of structured and unstructured data, is a very hot topic across the tech industry. It can be quickly learn to take advantage of the MapReduce framework through technical sessions and hands on labs.
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Experienced and certified trainers with real time project experience.


35-40 Interactive online training sessions.


In-house course content and with consistent course structure and design


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Weekly Assessments


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Hadoop Course will provide the basic concepts of MapReduce applications developed using Hadoop, including a close look at framework components, use of Hadoop for a variety of data analysis tasks, and numerous examples of Hadoop in action. This course will further examine related technologies such as Hive, Pig, and Apache Accumulo.


With the advent of Hadoop, there comes the need for professionals skilled in Hadoop Administration, making it imperative to be skilled as a Hadoop Admin for better career, salary and job opportunities.
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Introduction to Big Data

  • Characteristics of Big Data
  • Why is parallel computing important
  • Discuss various products developed by vendors

Introducing Hadoop

  • Components of Hadoop
  • Starting Hadoop
  • Identify various processes

Working with HDFS

  • Basic file commands
  • Web Based User Interface
  • Reading & Writing to files
  • Run a word count program
  • View jobs in the Web UI

Installation & Configuration of Hadoop

  • Types of installation (RPM’s & Tar files)
  • Set up ‘ssh’ for the Hadoop cluster
  • Tree structure
  • XML, masters and slaves files
  • Checking system health
  • Discuss block size and replication factor
  • Benchmarking the cluster

Advanced administration activities

  • Adding and de-commissioning nodes
  • Purpose of secondary name node
  • Recovery from a failed name node
  • Managing quotas
  • Enabling trash

Monitoring the Hadoop Cluster

  • Hadoop infrastructure monitoring
  • Hadoop specific monitoring

Other Components of the 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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