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Big Data 5-Days Training 2015,

Hadoop Training Chennai December 28, 2015

Register Now:


2c, #67, Deva Daya Apartment 2nd floor, 1st Main Road, Gandhi Nagar, Adyar, Chennai – 600 020.

BigDataTraining.IN is a leading Global Talent Development Corporation, building skilled manpower pool for global industry requirements. BigData has today grown to be amongst world’s leading talent development companies offering learning solutions to Individuals, Institutions & Corporate Clients.

Hadoop Stack

    • MapReduceNoSQL

    • CAP Theorem

    • Databases: Key Value, Document, Graph

    • Hive and Pig

    • HDFS

    • Installing Hadoop Single Node cluster

    • Understanding Hadoop configuration files

    • Functional – Concept of Map

    • Functional – Concept of Reduce

    • Functional – Shuffling

    • MapReduce Execution framework

    • MapReduce Partitioners and Combiners

    • MapReduce and role of distributed filesystem

    • Role of Key and Pairs

    • Hadoop Data Types

    • Understanding Sample MapReduce code

    • Executing MapReduce code

    • Architecture

    • File System

    • Data replication

    • Name Node

    • Data Node

    • What is Flume?

    • How it works ?

    • An example

    • What is Sqoop?

    • How it works ?

    • An example

    • Data Model

    • Physical Layout

    • DDL DML SQL Operations

    • Installation

    • Setup

    • Exercises

  • Rationale

  • Pig Latin

  • Input, Output and Relational Operators

  • User Defined Functions

  • Analyzing and designing using Pig Latin

  • Installation

  • Setup

  • Executing Pig Latin scripts on File system

  • Executing Pig Latin scripts on HDFS

  • Writing custom User Defined Functions

  • Installation and Configuration

  • Running MapReduce Jobs on Multi Node cluster

  • Steps involved in analyzing large data

    • Lab walk through

Lab 1: Hadoop Hands-on

MapReduce Introduction

Lab 2: MapReduce Exercises

HDFS Introduction





Lab 3: Hive Hands ON


Lab 4: Pig Hands on

Introduction to Zoo Keeper

Introduction to Sqoop

Lab 5: Sqoop HandsOn

Lab 6: Hadoop Multi node Cluster Setup

Lab 7: Hbase HandsOn [ NoSQL]

Lab 8: PoC Work

Working with Large data sets


Organizations today possess massive data – in tera- and petabytes – that needs to be effectively collected, stored and processed. Hadoop is a cost effective option that helps manage this big data. To derive real returns from these big data systems, one needs to extract useful insights and business intelligence.

“For every 100 open Big Data jobs, there are only two qualified candidates” –

New job opportunities are emerging for IT professionals in the field of “big data,” the term used to describe how corporations gather vast amounts of real-time data about their customers and analyze that data to drive decision making and increase profitability.

The IT services segment will be the major contributor to the Big Data services market, currently accounting for 82.9 per cent of revenues, followed by analytics with 17.1 per cent.

India’s big data industry is expected to grow at a compound annual growth rate (CAGR) of over 83 percent.

In India, Big Data analytics and related IT services will create 15,000-20,000 Big Data jobs by 2015.

Why Learn Big Data?

90% of the data in the world today is less than 2 year old.

18 Moths is the estimated time for digital universe to double.

2.6 Quintillion bytes is produced every day.