Changes AWS IoT Analytics now supports Late Data Notifications for datasets, dataset content creation using previous version IDs, and includes the LastMessageArrivalTime attribute for channels and datastores.
Changes Add `completionTime` to API call ListDatasetContents.
Changes IoT Analytics adds the option to use your own S3 bucket to store channel and data store resources. Previously, only service-managed storage was used.
Changes ContentDeliveryRule to support sending dataset to S3 and glue
Changes This change allows you to specify the number of versions of IoT Analytics data set content to be retained. Previously, the number of versions was managed implicitly via the setting of the data set's retention period.
Changes ListDatasetContents now has a filter to limit results by date scheduled.
Changes Added an optional list of dataset content delivery configuration for CreateDataset and UpdateDataset. DescribeDataset will now include the list of delivery configuration, and will be an empty array if none exist.
Changes Added new listDatasetContent API that shows you the list of dataset contents for the corresponding versions
Changes AWS IoT Analytics announces three new features: (1) Bring Your Custom Container - import your custom authored code containers. (2) Automate Container Execution - lets you automate the execution of containers hosting custom authored analytical code or Jupyter Notebooks to perform continuous analysis. (3) Incremental Data Capture with Customizable Time Windows - enables users to perform analysis on new incremental data captured since the last analysis.
Changes This change allows publishing of channel/datastore size as part of the describe-channel/describe-datastore APIs. We introduce an optional boolean parameter 'includeStatistics' in the Describe request. If the user sets this parameter to true, the describe response will return the resource size and timestamp at which the size was recorded. If the parameter is set to false, the size won't be computed or returned.
Changes With this release, AWS IoT Analytics allows you to tag resources. Tags are metadata that you can create and use to manage your IoT Analytics resources. For more information about tagging, see AWS Tagging Strategies. For technical documentation, look for the tagging operations in the AWS IoT Analytics API reference or User Guide.
Changes Introducing AWS IoT Analytics SDK. AWS IoT Analytics provides advanced data analysis for AWS IoT. It allows you to collect large amounts of device data, process messages, store them, and then query the data and run sophisticated analytics to make accurate decisions in your IoT applications and machine learning use cases. AWS IoT Analytics enables advanced data exploration through integration with Jupyter Notebooks and data visualization through integration with Amazon QuickSight.