A Data Science Paradigm Shift in the Age of Big Data

Abstract

Big data becomes popular in recent years with increased breadth and depth of data being processed. Big data demands advancement in data management and data analytics. Rooted from areas such as statistics, machine learning and data mining, data science provides solutions to business problems, general approaches of data analytical thinking, and techniques for extracting meaning from data. It encompasses principles and techniques for extracting useful information and knowledge from data. It is a data science paradigm shift of its battlefield to confront challenges from all dimensions of big data analytics.