Because of this, the Internet of Things creates an opportunity to measure, collect and analyze an ever-increasing variety of behavioral statistics. That being said, data is central to any IoT implementation, and depending on the application, there could be high data acquisition requirements which in turn lead to high storage and heavy data processing requirements.
This paper reviews how an IoT Data platform fits in with any IoT Architecture to manage the data requirements of every IoT implementation. It is based on the learnings from existing IoT practitioners that have adopted an IoT Data platform using InfluxData.