BIG DATA ANALYTICS

EC2016 Volume 5

Manoj Chari, Volume Co-editor

Patricia Neri, Volume Co-editor

Anne G. Robinson, Series Editor

Traditionally, when people think about big data they refer to the three V’s – volume, velocity, and variety – working with petabyte data sets, collecting data in real time or near real time, from a great variety of sources, i.e. mobile phones, online shopping, sensors, videos, tweets, etc. A big challenge that remains is the fourth V – value. How can businesses extract value from this flood of information? Integration of different data from these disparate sources is essential to getting value from big data. But key to getting even greater value from big data applications is the use of analytics, and therefore, our focus in this volume is not on big data per se but “Big Data Analytics.” Read Introduction.