An overwhelming amount of data: Applying chaos theory to find patterns within big data

Abstract

This paper introduces basic concepts of chaos theory into the world of big data and real-time big data analysis. It concentrates on demonstrating how chaos theory can be applied to analysing big data, what elements must be present, and what the possible outcomes can be. Although chaos theory contains a few set rules, the paper concentrates on the meaning and importance of the butterfly effect in finding patterns and trends within big data analysis. It should be noted that, although many aspects of the application of chaos theory to big data analytics are largely theoretical or in the infancy of deployment, almost all big data analysing systems active today make use of the essential components contained within chaos theory.