In nearly every IOT project I had the opportunity to work in, time series data played a very important role.
The problem for this type of data is that it normally comes in larger volumes and is therefore not always great to handle. This is especially true in projects, where you have to cope with small storage on devices and no central data store, which makes it very hard, if nearly impossible to get a global view on the behavior of these solutions in time.
One could work with thresholds and alerts, but this approach never gives you the chance to detect trends and get “ahead of the wave” to react better, faster and more precise to certain events. Some of the industrial communication standards, such as OPC UA and SCADA, try to tackle this issue by providing historic data functionality in their communication layers, but this is just a single aspect of a comprehensive data solution.
Cloud architectures are able to help in this case, if you have the chance to collect time series data either centrally, or on the edge.
A very valuable asset in Azure and in this context is Time Series Insights. It is a cloud service allowing you to handle query, transform visualize and correlate your different data streams into comprehensive views and insights. There are also connectors into reporting tools such as Power BI available. Using the M365 infrastructure Power Automation or Azure Logic Apps and Functions, serverless integration into corporate business process and control processes is also not a problem.
Get some insight into Insights (sorry for the pun 🙂 ) in this new podcast by Diego Viso, the Time Series Insights Principal PM.