Summary
In this chapter, you learned about the configuration steps to complete two fundamental tasks in a commercial IoT application. The first task is data processing, which involves using AWS Lambda to trigger notifications to SNS to send alert emails about abnormal events. The second task is data storage and querying using AWS IoT Analytics, a crucial aspect of IoT applications that ensures the efficient handling and retrieval of vast amounts of data. These tasks form the backbone of IoT applications and mastering them is key to the successful implementation of any commercial IoT project.
Next, we will explore the final step: executing data analytics and visualization. In the following chapter, we will use the ThingsBoard cloud platform to ingest real-time sensor data from AWS IoT Core to create a dynamic dashboard.
