Course Outline

The course is divided into three main core topics:

Introduction to the Big Data problem. Current challenges, trends, and applications

Algorithms for Big Data analysis. Mining and learning algorithms that have been developed specifically to deal with large datasets

Technologies for Big Data management. Big Data technology and tools, special consideration made to the Map-Reduce paradigm and the Hadoop ecosystem.

Learning Objectives

At the end of this course, the student will become familiar with the fundamental concepts of Big Data management and analytics; will become competent in recognizing challenges faced by applications dealing with very large volumes of data as well as in proposing scalable solutions for them; and will be able to understand how Big Data impacts business intelligence, scientific discovery, and our day-to-day life.

Target Group

Software Engineers, who are into ETL/Programming and exploring for great job opportunities in hadoop.

Managers, who are looking for the latest technologies to be implemented in their organization, to meet the current & upcoming challenges of data management.

Any Graduate/Post-Graduate, who is aspiring a great career towards the cutting edge technologies.

Pre-requisite

Java programming, Database basics