Hadoop Training


Hadoop Training

  • Description
  • Curriculum

Hadoop Training Centre In Indore

Hadoop is an open source, a Java-based programming framework that supports the process and storage of extremely large data sets in a very distributed computing atmosphere. it's a part of the Apache project sponsored by the Apache software Foundation.

Hadoop makes it possible to run applications on systems with thousands of commodity hardware nodes, and to handle thousands of terabytes of data. Its distributed file system facilitates rapid information transfer rates among nodes and permits the system to continue operating just in case of a node failure. This approach lowers the chance of catastrophic system failure and surprising information loss, although a major number of nodes become inoperative. Consequently, Hadoop quickly emerged as a foundation for big data processing tasks, like scientific analytics, business and sales designing, and process enormous volumes of detector information, as well as from net of things sensors.

Why Hadoop

Hadoop is changing the perception of handling Big Data especially the unstructured data. Let’s know how Apache Hadoop software library, which is a framework, plays a vital role in handling Big Data. Apache Hadoop enables surplus data to be streamlined for any distributed processing system across clusters of computers using simple programming models. It truly is made to scale up from single servers to a large number of machines, each and every offering local computation, and storage space. Instead of depending on hardware to provide high-availability, the library itself is built to detect and handle breakdowns at the application layer, so providing an extremely available service along with a cluster of computers, as both versions might be vulnerable to failures.

Hadoop Course Content


  • Big Data
  • 3Vs
  • Role of Hadoop in Big data
  • Hadoop and its ecosystem
  • Overview of other Big Data Systems
  • Requirements in Hadoop
  • UseCases of Hadoop


  • Design
  • Architecture
  • Data Flow
  • CLI Commands
  • Java API
  • Data Flow Archives
  • Data Integrity
  • WebHDFS
  • Compression


  • Theory
  • Data Flow (Map – Shuffle – Reduce)
  • Programming [Mapper, Reducer, Combiner, Partitioner]
  • Writables
  • InputFormat
  • Outputformat
  • Streaming API


  • SCounters
  • SCustomInputFormat
  • SDistributed Cache
  • SSide Data Distribution
  • SJoins
  • SSorting
  • SToolRunner
  • SDebugging
  • SPerformance Fine tuning

ADMINISTRATION – Information required at Developer level

  • Hardware Considerations – Tips and Tricks
  • Schedulers
  • Balancers
  • NameNode Failure and Recovery


  • NoSQL vs SQL
  • CAP Theorem
  • Architecture
  • Configuration
  • Role of Zookeeper
  • Java Based APIs
  • MapReduce Integration
  • Performance Tuning


  • Architecture
  • Tables
  • DDL – DML – UDF – UDAF
  • Partitioning
  • Bucketing
  • Hive-Hbase Integration
  • Hive Web Interface
  • Hive Server

String Handling

  • Overview of String in C
  • Reading String from Terminal
  • Writing String to console screen
  • String Handling Functions - string.h
  • gets() & puts() functions


  • Pig (Pig Latin , Programming)
  • Sqoop (Need – Architecture ,Examples)
  • Introduction to Components (Flume, Oozie,ambari)

Benefits of Hadoop Training

  • Complete code explanation and implementation
  • Course Starts from installation of technology to deployment of product
  • Trainers from Industry with good hand on experience
  • You can develop your own programs after understanding the basics with our experienced Faculties
  • Weekdays, fast track and weekend Batches
  • Certificate after Successful completion of Training
  • Online and Offline material support for better learning
  • Software and Installation support will be provided
  • Regular Machine Test for better understandings
  • Free Live Project Support to all participants
  • Industry Exposure via Live Troubleshooting
  • Guaranteed placement to meritorious students

Required Software/ Platforms for hadoop Training

  • Any OS
  • Java Oracle JDK 1.6
  • Server: GlassFish, Tomcat