Siemens LOGO! controls automation equipment and ingests data to AWS IoT Core. AWS Lambda is called inside the AWS IoT Core statement to transform the incoming data prior to ingestion. 1 3 4 Use Amazon Kinesis Data Firehose to ingest data into a data lake built on Amazon Simple Storage Service (Amazon S3). AWS Glue performs extract, transform, load (ETL) functions and builds the data catalog. 5b Configure global data exchange between LOGO! devices using AWS IoT Core. 8 5a AWS IoT SiteWise models and stores data from equipment for large scale deployments. 1 3 4 5b 8 5a 9 Ingesting near real-time data from Siemens LOGO! to AWS IoT Core enables building modern end-to-end applications, including interactive dashboards, events detection, alerting, predictive maintenance and integration with Alexa. Use analytics and machine learning services operating on a data lake to derive insights to build predictive models and forecasts. Curated data from the data lake is utilized by Amazon artificial intelligence/machine learning (AI/ML) services (such as Amazon SageMaker, Amazon Forecast, or Amazon Lookout for Equipment) or third party ML services for predictive health analysis and assessment. 6 6 Amazon Timestreamsto
