Convergence of Big Data, Cloud and IoT for Real-time Applications

In recent few years, enormous growth of IoT objects and cloud-based storage systems has directed towards huge distributed repositories of data. The heterogeneous IoT data created by devices is stored in different databases. In addition, the open IoT framework exploits the incorporation of big data platforms as per the specific application requirements. Particularly, in case of extrapolative methods, the data is continuously gathered through IoT devices and also from open data sources. In this perspective, the convergence of Big Data with IoT needs to address certain technical functionalities. So, the main objective is towards the real time collection of enormous data, combined with data analytics and data automation software. Next, the cognitive analysis of data gathered from IoT devices and sensors. Then, integrating the Big Data and IoT with cloud environment for utilizing various cloud services offered.