Big Data Analytics Research – A Scientometric View

Abstract

In digital world, data are generated from various sources and the fast transition from digital technologies has led to growth of big data. It provides evolutionary breakthroughs in many fields with collection of large datasets.   Big data is a combination of structured, semi-structured and unstructured data that organizations collect, analyze and mine for information and insights. It's used in machine learning projects, predictive modelling and other advanced analytics applications.Applications of big data and data science include information science, uncertainty modelling, uncertain data analysis, machine learning, statistical learning, pattern recognition, data warehousing, and signal processing. Effective integration of technologies and analysis will result in predicting the future drift of events.  Hence, much research is being done in developing and implementing tools for big data analytics. This investigation is an attempt to analyse the trend of research in the field of big data analytics.  The results of the study show that India takes the lead in the research productivity.  Though India has produced more number of papers, the high prolific authors are from Italy and Norway.  The data do not confine with Bradford’s law of scattering and Lotka’s law of author productivity.