Microservices Architecture for Data Analytics in IoT Applications

Abstract

The internet of things (IoT) is a network of physical objects with sensors, software, and network connectivity built in to enable data collection and sharing. It has led to an exponential increase in data generation, necessitating the development of effective statistical analysis for a range of IoT applications. Predictive analytics is an essential procedure that converts unprocessed data into meaningful insights. To improve decision-making and enhance IoT application performance, it is crucial to create innovative data processing methods and predictive analytical models that can handle the volume and complexity of IoT data. Microservices-based strategies can be implemented to create scalable, reusable, and effective IoT-based analytics solutions.