Abstract

Big Data Analytics (BDA) is getting more widespread nowadays, and it is projected more applications and technological evolution in the near future. Nonetheless, big data analytics is at the beginning of its life cycle and many industries have not started investing to extract value from their big data. There still many managers and scholars who are not familiar what big data analytics. Many authors have been trying to provide a view from big data analytics, but they shine few aspects of big data. In this paper, we try to provide some theoretical, practical, and technological facets of big data so that managers in different industries find a comprehensive perception of what big data is, what differentiates big data analytics from other analytical disciplines such as data mining and machine learning, what are current and future applications of big data, what are challenges and barriers in big data implications, and what are required technologies exclusively developed for big data analytics.

Keywords: Big data analytics, Big data applications, Big data technologies, Data science, Machine learning, Statistics