Hadoop training online

Course Overview

Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Job Opportunity for Big Data Hadoop

Looking at the Big Data market forecast, it looks promising and the upward trend will keep progressing with time. Therefore the job trend or Market is not a short lived phenomenon as Big Data and its technologies are here to stay. Hadoop has the potential to improve job prospects whether you are a fresher or an experienced professional.

Who Should attend this course

This tutorial is suitable for professionals aspiring to learn the basics of Big Data Analytics using Hadoop Framework and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course.

Key Features

  • Production Level Cloud Sever Access
  • 40 Hrs of High Quality e-Learning content
  • Big Data & Hadoop Simulation Challenges
  • Real Time Industry based Projects
  • Downloadable course document Included
  • Excellence in Hadoop Course Completion Certificate


Course Objective

  • Learn to use Apache Hadoop to build powerful applications to analyse Big Data
  • Understand the Hadoop Distributed File System (HDFS)
  • Learn to install, manage and monitor Hadoop cluster on cloud
  • Learn about MapReduce, Hive and PIG – 3 popular data analysing framworks
  • Learn about Apache Sqoop,Flume and how to run scripts to transfer/load data
  • Learn about Apache HBase, how to perform real-time read/write access to your Big Data
  • Work on Projects with live data from Twitter, Reddit, StackExchange and solve real case studies

Hadoop training online course outline

Introduction to Big Data

  • Rise of Big Data
  • Compare Hadoop vs traditonal systems
  • Hadoop Master-Slave Architecture
  • Understanding HDFS Architecture
  • NameNode, DataNode, Secondary Node
  • Learn about JobTracker, TaskTracker

Map-Reduce Architecture

  • Exploring JobTracker & TaskTracker
  • How a client submits a Map-Reduce job
  • Exploring Mapper,Reducer,Combiner
  • Shuffle: Sort and Partition
  • Input and output formats
  • Job Scheduling (FIFO, Fair Scheduler, Capacity Scheduler) and Exploring the Apache MapReduce Web UI

Apache Pig

  • PIG vs MapReduce
  • PIG Architecture & Data types
  • PIG Latin Relational Operators
  • PIG Latin Join and CoGroup
  • PIG Latin Group and Union
  • Describe, Explain, Illustrate
  • PIG Latin: File Loaders & UDF

Hive Architecture

  • Introduction to Hadoop Hive
  • Hadoop HBase vs Hadoop Hive
  • Installation of Hive
  • HQL (Hive query language)
  • Basic Hive commands

HBase Architecture

  • Introduction to Hadoop Hbase
  • RDBMS vs. Hadoop HBase
  • Exploring Hadoop HBase Master & region server
  • Column Families and Regions
  • Basic Hadoop Hbase shell commands.

Apache Zookeeper

  • What is Zookeeper
  • Zookeeper Data Model
  • ZNokde Types
  • Sequential ZNodes
  • Installing and Configuring
  • Running Zookeeper
  • Zookeeper use cases

Apache Flume, Sqoop

  • Sqoop – How Sqoop works
  • Sqoop Architecture
  • Flume – How it works
  • Flume Complex Flow – Multiplexing


Classroom / Online / Corporate Training


Call – +91 9789968765 / +91 99627 74612 / 044 – 42645495


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