The value of an IoT system is not a single sensor event, or a million sensor events archived away. A significant value of IoT is in the interpretation and decision made of that data. While a world of billions of things connected and communicating with each other and the cloud is well and good, the value lies in what is within the data, what is not in the data, and what the patterns of data tell us. This is the data science and data analytics portions of IoT, and probably the most valuable area for the customer.
Analytics for the IoT segment deal with:
- Structured data (SQL storage), a predictable format of data.
- Unstructured data (raw video data or signals), a high degree of randomness and variance.
- Semi-structured (Twitter feeds), some degree of variance and randomness in form.
Data also may need to be interpreted and analyzed in real time as a streaming dataflow, or it may be archived and retrieved for deep analytics...