How to Optimise Real-Time Data Streams Generated with IoT?
The Internet of things, popularly known as IoT, is creating endless possibilities for businesses. But is that all? The answer is No. IoT significantly contributes to the lives of individuals and society as a whole. Big Data plays a vital role in this ecosystem.
IoT and Big Data are not stand-alone concepts and are increasingly becoming interconnected with each other. Businesses heavily rely on a large amount of data that direct their course of action. IoT applications are constantly generating such data. For instance, a footfall tracker in a clothing shop placed during the festive season captures how many customers come in a day, or a food delivery app tracks the delivery time every time you order and customer satisfaction associated with delivery time (through rating systems). All of this serves as crucial data that aids the organisations in choosing the next course of action.
However, as the volume of data keeps rising, the question is, will batch processing be sufficient, and can organisations ensure data quality through comparatively traditional methods? It is unlikely that batch processing will suffice organisations’ information needs today. So what do they need? The answer is streaming analytics or real-time data streaming.