Architecture of the proposed exercise
In Chapter 11, we implemented the edge-to-cloud data flow using the Azure IoT Edge SDK and Azure IoT Hub. Let’s recall, in the next figure, the architecture proposed to build IIoT infrastructure on Azure:
Figure 12.1 – The proposed Azure IIoT architecture
When measures are sent to Azure IoT Hub, data can be processed with low latency Stream Analytics, stored in a time series database called Azure Cosmos DB, or stored in Azure Storage services. The data can subsequently be analyzed using Azure ML analytics or Synapse. For rapid visualization, tools such as Grafana, Data Explorer, or Power BI can be employed.
The code for this chapter is available in the official repository at https://github.com/PacktPublishing/Hands-On-Industrial-Internet-of-Things-Second-Edition.
In this section, we explored how to implement an IIoT architecture with Azure. In the next section, we will see how to implement it in...
