Migration of a Vehicle Tracking System Running on Relational Database to Big Data Environment

Abstract

Creating a high-performance and scalable system has always been an issue in tracking systems. Excessive and real-time data intensity is what lies at the bottom of this problem. This article intends to implement big data approaches instead of conventional ones. For the vehicle tracking system architecture, this study went beyond conventional methods and put forward a new design. This validation was compared to the conventional method. A general solution was created and an infrastructure which can be used in similar real-time data transmission was designed.