For this course the basics of Linux are required in order to start more easily with the Big Data / Hadoop program.

Not only this course will provide the ways to use Big Data tools but also how to install and configure some of the Big Data related frameworks on in-premise and cloud based infrastructure. 

You have to know that the hype Hadoop is the news all the time. But, there are a lot of frameworks supporting Hadoop like Pig/Hive.

Work on NoSQL Database and the multiple comparisons between several NoSQL Database.

BIG OPPORTUNITY : All students will be provided a VIRTUAL MACHINE with Big Data frameworks( HADOOP...)

 

PRE-REQUISITES : 

- knowledge of JAVA,LINUX but the basics of LINUX is enough .

- have a laptop with minimum of 3GB RAM, 10 GB free HARD Disk and with a decent processor.

This course is for : any developer, architect or data analyst,anyone involved in Software Quality Assurance(testing).

 

THE PROGRAM :

 

• Understanding Big Data
• HDFS (The Hadoop Distributed File System)

>> HDFS Overview and Architecture

>> How HDFS addresses fault tolerance?

>> HDFS Interfaces

>> Advanced HDFS features

• MapReduce – 1

>> MapReduce Overview

>> MapReduce Architecture

• MapReduce – 2

>> Developing, debugging and deploying MR programs

>> MR API

>> Optimizing techniques

>> MR algorithms