8/9/2022, 12:00:00 AM ~ 8/10/2022, 12:00:00 AM (UTC)

Recent Announcements

Amazon DocumentDB (with MongoDB compatibility) now supports the Decimal128 data type

Amazon DocumentDB (with MongoDB compatibility) is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability.

Amazon SageMaker Pipelines now supports sharing of pipeline entities across accounts

You can now use Amazon SageMaker Model Building Pipelines with AWS Resource Access Manager (AWS RAM) to securely share pipeline entities across AWS accounts and access shared pipelines through direct API calls. A multi-account strategy helps achieve data, project, and team isolation while supporting software development lifecycle steps. Cross-account pipeline sharing can support a multi-account strategy without the added hassle of logging in and out of multiple accounts. For example, cross-account pipeline sharing can improve machine learning testing and deployment workflows by sharing resources across staging and production accounts.

Amazon SageMaker Automatic Model Tuning now supports alternate SageMaker training instance types for more robust tuning

Amazon SageMaker Automatic Model Tuning now supports specifying multiple alternate SageMaker training instance types to make tuning jobs more robust when the preferred instance type is not available due to insufficient capacity.

Amazon SageMaker Canvas expands capabilities to better prepare and analyze data for machine learning

We’re excited to announce expanded capabilities for data preparation and analysis in Amazon SageMaker Canvas including replacing missing values, replacing outliers, and the flexibility to choose different sample sizes for your datasets. Amazon SageMaker Canvas is a visual point-and-click interface that enables business analysts to generate accurate ML predictions on their own — without requiring any machine learning (ML) experience or having to write a single line of code. SageMaker Canvas makes it easy to access and combine data from a variety of sources, automatically clean data, and build ML models to generate accurate predictions with a few clicks.

Amazon Aurora Serverless v1 now supports PostgreSQL 11 and In-Place upgrade from PostgreSQL 10

Amazon Aurora Serverless v1 now supports PostgreSQL major version 11. PostgreSQL 11 includes improvements to partitioning, parallelism, and performance enhancements such as faster column additions with a non-null default.

AWS Glue now supports Flex execution option

AWS Glue now supports a new execution option that allows customers to reduce the costs of their pre-production, test, and non-urgent data integration workloads by up to 34%. With Flex, Glue jobs run on spare capacity in AWS.

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