BIG DATA

Big Data analytics is a multi-step process that entails the systematic analysis of data and its underlying at every step of the process – commonly referred to as the “Big Data life cycle.” The Big Data life cycle is a derivative of the knowledge discovery in databases (KDD) process with subtle but important enhancements. Data mining and fusion has rapidly emerged as an enabling, robust, and scalable technique to analyze data for novel patterns, trends, anomalies, structures, and features that can be discovered from Big Data.

COURSE 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.