The creation of a DigitalTwin knowledge graph data model confronts the need for access to measurement data in order that the DigitalTwin can create timely performance metrics, identify promptly performance issues, and so on.
However, the quantity of raw data in an Industrial IoT is staggering. A typical process manufacturing plant might have greater than 100,000 measurement points each of which is streaming data by the second or even faster. So how can the raw data be integrated to allow performance analysis?
Just … important:
Someone(?) determines a subset of the data that can and…