Leverage AWS IoT Greengrass Core to connect, publish, and subscribe to data using open standard MQTT protocol with IoT devices running on FreeRTOS and other OSs. Leverage AWS IoT Core to maintain shadows of all IoT devices, connect to AWS Cloud, manage devices, update over-the-air (OTA), and secure the devices. Use purpose-built databases like Amazon DynamoDB and serverless architecture to store events, deliver microservices, and generate events for an operational data store. Leverage Alexa Voice Service to personalize the customers room with voice-enabled controls. Use Amazon Pinpoint to deliver alerts to multiple channels, from operational events to property manger notifications. Build a data lake to store raw data and to create curated processed data in Amazon S3 using AWS Glue and Amazon EMR. Use Amazon SageMaker to build, train, and deploy inference models. Optionally, deploy edge models on AWS IoT Greengrass Core. Use Amazon Redshift, Amazon Athena, and Amazon QuickSight for analytics. Optionally, build data marts in Amazon Redshift for heavily used analytics. For ad hoc requirements, publish the data catalog and use Amazon Athena for direct analysis using the data lake.
