Due to the advent of new technologies, devices, and communication means like social networking sites, the amount of data produced by mankind is growing rapidly every year. The amount of data produced by us from the beginning of time till 2003 was 5 billion gigabytes. If you pile up the data in the form of disks it may fill an entire football field. The same amount was created in every two days in 2011, and in every ten minutes in 2013. This rate is still growing enormously. Though all this information produced is meaningful and can be useful when processed, it is being neglected.

90% of the world’s data was generated in the last few years.

Chapter 01

          Introduction to Big Data

Chapter 02

          Working with Hadoop and its Components and Concepts

Chapter 03

          Scripting with Hive & HBase

Chapter 04

           Programming using MapReduce for Big Data -1

Chapter 05

            Programming using MapReduce for Big Data -2

Chapter 06

              Distributed Resource synchronization using ZooKeeper

Chapter 07

             Data loading using Sqoop

Chapter 08

             Handling large log files using Flume

Chapter 09

             Handling workflows using Oozie

Chapter 10

            Understanding Popular Big Data Platforms


60 Hrs

Basic of Programming Launguage

                * Concepts of OOP

                * Basic of Scripting language

Basics of Linux/Unix operating Systems

Good understanding of Javaprogramming language

               * Core Java

Understanding of basic SQL statements.




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