What you'll learn

This course would take you through the need and invent of big data technology.
Understand the Big Data problem in terms of storage and computation.
Understand how Hadoop approach Big Data problem and provide a solution to the problem.
Install and configure a Hadoop cluster.
Details of HDFS mechanism and work with HDFS.
Understand the MapReduce programming model.
How MapReduce programs works in classic MapReduce and YARN way.

Requirements

Students are supposed to be familiar with Desktop/Laptop.
Prior knowledge of Apache Hadoop is not required, Because instructor will teach everything from scratch.

Description

The objective of this course is to walk you through step by step of all the core components in Hadoop but more importantly make Hadoop learning experience easy and fun.

In this course you will learn Big Data using the Hadoop Ecosystem. Why Hadoop? It is one of the most sought after skills in the IT industry. The average salary in the US is $112,000 per year, up to an average of $160,000 in San Fransisco (source: Indeed).

Things keep changing, and when in IT, you should know that the rule of the game is to understand the new wave and ride it when its there. This course would take down all the initial struggle that you might need to do to learn a complex technology and you'll be able to learn easily through video.

In this course, we will see how as a beginner one should start with Hadoop. This course comes with a lot of hands-on examples which will help you learn Hadoop quickly. Some real time problems also available so that you can easily understand the course and can work on real time projects.

This course is for you if you are searching for:

1) Complete HADOOP-MAPREDUCE Developer course.

2) HADOOP-MAPREDUCE Developer Course with real time projects. Sample code and sample data is also available.

3) Understand Real time seanerio of Mapreduce Development

Who this course is for:

Graduates, undergraduates eager to learn the latest Big Data technology can take this Big Data training.
Programming Developers and System Administrators.
Mainframe Professionals, Architects & Testing Professionals.
Business Intelligence, Data warehousing and Analytics Professionals.
Aspiring Data Scientist or Data Management Professionals.
Anyone Interested in Big Data Hadoop.
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