AWS analytics

Once the devices are connected and the time-series data is stored, I-IoT data should be analyzed, processed, and visualized. AWS provides six different mechanisms to process data:

• Serverless Lambda functions
• Greengrass, which can be used to deploy Lambda functions on-premises
• IoT Analytics
• Machine learning analytics
• Athena
• SageMaker

Lambda analytics

Serverless Lambda functions are the easiest and most customizable form of analytics. Lambda analytics allow you to process data immediately, with powerful support for Python, Node.js, GO, C#, and Java. The easiest way to configure a Lambda function is through the AWS console as follows:

1. From the AWS console, we have to search for Lambda and click on the Create...