Hristo Hristov takes us through a walkthrough:
Hardware sensors or diverse types of equipment can generate IoT data at a high frequency, e.g., every second. Additionally, IoT data can be messy, semi-structured or just have huge volume and many disparate sources. How to ingest and model IoT data in Microsoft Fabric using the medallion lakehouse architecture?
As I was reading through this, the thing that kept coming to my mind is, if we’re really working with device data at a fairly high periodic frequency (e.g., once a minute or more often), this is probably a job for the Eventhouse and KQL. Though if your devices either don’t collect push information more frequently than, say, hourly, this approach is probably fine.