Managing IoT data
As discussed in the When to use Azure Synapse Data Explorer section of Chapter 1, Introducing Azure Synapse Data Explorer, we learned that Data Explorer pools are optimized for unstructured data, which typical IoT sensors or devices generate. Companies that make use of sensors to monitor manufacturing processes, fleet management, and many other scenarios that work with sensor-generated data commonly deal with this sort of unstructured data. This section demonstrates a blueprint that describes how to manage big data in IoT scenarios.
This blueprint can be useful in scenarios such as the following ones:
- Predictive maintenance: Using data from sensors, you can estimate when you should perform maintenance on factory equipment. This is a key strategy that’s adopted by companies to save on operating costs as they can perform maintenance at the optimal time in the life cycle of machines.
- Fleet management: Vehicles of any type (cars, drones, boats, or...