AWS IoT Analytics now supports notifications for and reprocessing of late data
With AWS IoT Analytics you can now configure notification for data sets that receive late data and refresh the results of the data sets with late data. Late data is data that arrives after an initial result is generated for the data set. You can configure late data notification for a data set by simply setting a time window within which late data is expected to arrive. AWS IoT Analytics sends late data notifications via Amazon CloudWatch Events when it receives late data for the data set. For more information, please visit the late data notification page in the AWS IoT Analytics user guide.
With AWS IoT Analytics you can now configure notification for data sets that receive late data and refresh the results of the data sets with late data. Late data is data that arrives after an initial result is generated for the data set. You can configure late data notification for a data set by simply setting a time window within which late data is expected to arrive. AWS IoT Analytics sends late data notifications via Amazon CloudWatch Events when it receives late data for the data set. For more information, please visit the late data notification page in the AWS IoT Analytics user guide.
AWS IoT Analytics is a fully-managed service that makes it easy to run sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity typically required to build an analytics platform. You can setup the service to collect only the data you need from your devices, apply mathematical transforms to process the data, and enrich the data with device-specific metadata such as device type and location before storing the processed data in a time-series data store for analysis. Then, you can analyze the processed data by running ad hoc or scheduled queries using the built-in SQL query engine. You can also perform more complex analytics and machine learning inference using pre-built models for common IoT use cases or perform your own custom analysis, packaged in a container. AWS IoT Analytics automates the execution of your custom analyses created in Jupyter Notebooks or with your own tools (such as MATLAB, Octave, etc.) to be executed on your schedule.
To get started with AWS IoT Analytics, use the Quick start feature from the AWS IoT Analytics console to create a channel, data store, pipeline and data set with a single click. You can send data from devices to AWS IoT Analytics using AWS IoT Core Rules. To learn more, please visit the AWS IoT Analytics website or the developer guide. For a full list of AWS Regions where AWS IoT Analytics is available, visit the AWS Region table.
Visit our IoT website to learn more about AWS IoT services.