HADOOP Online Training in Hyderabad

Aurora provide best hadoop online training in Hyderabad.We are Global Interactive Learning company started by proven industry experts with an aim to provide Quality Training in the latest IT Technologies.

hadoop online training

It is easy to learn the Hadoop, if you follow the structured and tested training roadmap with milestones to compare your progress on a timeline. At Aurora Hadoop online training in Hyderabad,the instructor keeps a sharp eye on your progress and assigns extra attention to students who are in need of it.

Course Content


  • Introduction to Hadoop
  • History of Hadoop
  • Building Blocks – Hadoop Eco-System
  • Who is Behind Hadoop
  • What Hadoop is good for and what it is not


  • Configuring HDFS
  • Interacting With HDFS
  • HDFS Permissions and Security
  • Additional HDFS Tasks
  • HDFS Overview and Architecture
  • HDFS Installation
  • Hadoop File System Shell
  • File System Java API


  • Map/Reduce Overview and Architecture
  • Installation
  • Developing Map/Red Jobs
  • Input and Output Formats
  • Job Configuration
  • Job Submission
  • Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms)

Getting Started With Eclipse IDE

  • Configuring Hadoop API on Eclipse IDE
  • Connecting Eclipse IDE to HDFS

Hadoop Streaming

AdvancedMapReduce Features

  • Custom Data Types
  • Input Formats
  • Output Formats
  • Partitioning Data
  • Reporting Custom Metrics
  • Distributing Auxiliary Job Data

Distributing Debug Scripts

Using Yahoo Web Services


  • Pig Overview
  • Installation
  • Pig Latin
  • Pig with HDFS


  • Hive Overview
  • Installation
  • Hive QL
  • Hive Unstructured Data Analyzation
  • Hive Semistructured Data Analyzation


  • HBase Overview and Architecture
  • HBase Installation
  • HBase Shell
  • CRUD operations
  • Scanning and Batching
  • filters
  • HBase Key Design


  • Zoo Keeper Overview
  • Installation
  • Server Mantainace


  • Sqoop Overview
  • Installation
  • Imports and Exports


  • Basic Setup
  • Important Directories
  • Selecting Machines
  • Cluster Configurations
  • Small Clusters: 2-10 Nodes
  • Medium Clusters: 10-40 Nodes
  • Large Clusters: Multiple Racks


Putting it all together

  • Distributed installations
  • Best Practices