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Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale.
This release adds support for new the service called Iot Jobs. This client is built for the device SDK to use Iot Jobs Device specific APIs. This release introduces Amazon Rekognition support for video analysis. Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale. Public preview release of Amazon Translate and the Amazon Translate Developer Guide. For more information, see the Amazon Translate Developer Guide. Amazon DynamoDB now supports the following features: Global Table and On-Demand Backup. Global Table is a fully-managed, multi-region, multi-master database. DynamoDB customers can now write anywhere and read anywhere with single-digit millisecond latency by performing database operations closest to where end users reside. Global Table also enables customers to disaster-proof their applications, keeping them running and data accessible even in the face of natural disasters or region disruptions. Customers can set up Global Table with just a few clicks in the AWS Management Console-no application rewrites required. On-Demand Backup capability is to protect data from loss due to application errors, and meet customers' archival needs for compliance and regulatory reasons. Customers can backup and restore their DynamoDB table data anytime, with a single-click in the AWS management console or a single API call. Backup and restore actions execute with zero impact on table performance or availability. For more information, see the Amazon DynamoDB Developer Guide. This release includes support for Glacier Select, a new feature that allows you to filter and analyze your Glacier archives and store the results in a user-specified S3 location. This release includes support for Glacier Select, a new feature that allows you to filter and analyze your Glacier storage class objects and store the results in a user-specified S3 location. Amazon Comprehend is an AWS service for gaining insight into the content of text and documents . It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document. For more information, go to the Amazon Comprehend product page. To get started, see the Amazon Comprehend Developer Guide. Amazon Elastic Container Service (Amazon ECS) released a new launch type for running containers on a serverless infrastructure. The Fargate launch type allows you to run your containerized applications without the need to provision and manage the backend infrastructure. Just register your task definition and Fargate launches the container for you. Announcing Amazon Kinesis Video Streams, a fully managed video ingestion and storage service. Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for machine learning, analytics, and processing. You can also stream other time-encoded data like RADAR and LIDAR signals using Kinesis Video Streams. Announcing Amazon Kinesis Video Streams, a fully managed video ingestion and storage service. Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for machine learning, analytics, and processing. You can also stream other time-encoded data like RADAR and LIDAR signals using Kinesis Video Streams. This release adds support for a number of new IoT features, including AWS IoT Device Management (Jobs, Fleet Index and Thing Registration), Thing Groups, Policies on Thing Groups, Registry & Job Events, JSON Logs, Fine-Grained Logging Controls, Custom Authorization and AWS Service Authentication Using X.509 Certificates. Greengrass OTA feature allows updating Greengrass Core and Greengrass OTA Agent. Local Resource Access feature allows Greengrass Lambdas to access local resources such as peripheral devices and volumes. Announcing Amazon Kinesis Video Streams, a fully managed video ingestion and storage service. Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for machine learning, analytics, and processing. You can also stream other time-encoded data like RADAR and LIDAR signals using Kinesis Video Streams.
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‎aws-cpp-sdk-AWSMigrationHub/nuget/aws-cpp-sdk-AWSMigrationHub.autopkg‎

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title: AWS SDK for C++ (AWS Migration Hub);
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‎aws-cpp-sdk-access-management/nuget/aws-cpp-sdk-access-management.autopkg‎

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AWSSDKCPP-Core/1.3.12,
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‎aws-cpp-sdk-acm/nuget/aws-cpp-sdk-acm.autopkg‎

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‎aws-cpp-sdk-apigateway/nuget/aws-cpp-sdk-apigateway.autopkg‎

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‎aws-cpp-sdk-application-autoscaling/nuget/aws-cpp-sdk-application-autoscaling.autopkg‎

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‎aws-cpp-sdk-appstream/nuget/aws-cpp-sdk-appstream.autopkg‎

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‎aws-cpp-sdk-appsync/nuget/aws-cpp-sdk-appsync.autopkg‎

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‎aws-cpp-sdk-athena/nuget/aws-cpp-sdk-athena.autopkg‎

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‎aws-cpp-sdk-autoscaling/nuget/aws-cpp-sdk-autoscaling.autopkg‎

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‎aws-cpp-sdk-batch/nuget/aws-cpp-sdk-batch.autopkg‎

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