From an analytics perspective, “Data in Motion” applications refer to the ability to process and analyse data from connected devices at the edge. The data can be collected from devices that are themselves in motion, such as cars, trucks, planes and autonomous vehicles. It can also be collected from the Internet of Anything (IoAT), where devices stream data from the edge in real time.
It’s important to note that data in motion applications have the ability to stream, process and analyse the data in real time as opposed to putting it into a more static data store for subsequent analysis.
Data in motion applications need to manage both the flow of data and the processing of parallel data streams. In order to achieve that, data in motion applications need to be able to:
Examples of data in motion use cases could include: