In this workflow, we can see that the industrial environment is pushing data onto AWS Greengrass, which in turn uses the IoT MQTT protocol to deliver data to AWS IoT Core. It will then in turn put through data to AWS IoT Analytics to be further visualized via QuickSight. On the other hand, if an IoT rule is triggered, it will instead feed the data to Amazon SNS, where the operations team will be notified through an alert. Additionally, data can also be fed in by moving the on-premises database onto the cloud with Database Migration Service (DMS), which is a service used for migrating databases onto AWS. It can then be ingested using Amazon Kinesis Data Streams and processed using AWS Lambda, where it then will be fed into AWS IoT Analytics.