Amazon Redshift, a fully-managed cloud data warehouse, now adds native support for TIME and TIMETZ data types. TIME data type stores the time of day without timezone information, and TIMETZ stores the time of day including timezone information. This new data type builds on the existing support in Amazon Redshift for DATE, TIMESTAMP and TIMESTAMPTZ data types that can store date and date-and-time values.

We’ve updated the Amazon S3 console to make it even easier for you to manage your storage. In addition to a refreshed look and feel, the updated Amazon S3 console now simplifies common tasks by presenting contextual information about your storage resources and other S3 features throughout the console. Some key changes include streamlining the work to copy bucket settings when creating new buckets, indicating the bucket level settings you have permissions to change, improving the performance of uploads, and having a new page that gives more visibility into upload progress.  

Data subscribers that acquire data products on AWS Data Exchange using Private Offers can now configure those subscriptions to automatically renew, enabling seamless continuity of their data subscriptions without interruptions in their data feeds. Data providers that want to give their customers the option to auto-renew their subscription on the AWS Data Exchange platform can do so during the private offer creation process. Subscribers are able to view their auto-renew setting for each subscription in the Subscriptions section of the AWS Data Exchange console, where they can turn it on or off at any time.  

Subscribers and providers can now use AWS Data Exchange Private Products to exchange private or custom-made data products. Starting today, qualified data providers interested in offering their data to specific customers or partners can now use AWS Data Exchange Private Products to package, deliver, and bill for their products without having to build, operate, and maintain any data delivery infrastructure. Subscribers that need data products specifically made for them and not intended for the general public can use AWS Data Exchange Private Products to have that data delivered to them in the cloud. With the launch of Private Products, subscribers can use AWS Data Exchange as a single consistent way to acquire all externally sourced data, reducing their operational burden and allowing them to quickly onboard new data sources.

Data providers who use AWS data Exchange to license their data can now choose whether to enable auto-renewals when creating a public or private offer. When the auto-renewals option is enabled by the data provider, data subscribers can choose whether or not their subscription automatically renews when it expires. Before the launch of this feature, all public products supported auto-renewals. This new functionality gives providers the flexibility to choose when to enable auto-renewals, enabling them to list products that are not intended to be renewed (such as trial or static historical data products).  

AWS Database Migration Service (AWS DMS) has expanded functionality by adding support for Amazon DocumentDB 4.0 as a target. Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. Using DMS, you can now perform live migrations to Amazon DocumentDB 4.0 from MongoDB replica sets, sharded clusters, or any AWS DMS supported source including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, SAP ASE and Microsoft SQL Server databases with minimal downtime.

AWS App Mesh Controller for Kubernetes v1.2.0 is now available with support for outlier detection and configurable connections pools for circuit breaking. The AWS App Mesh Controller for Kubernetes provides a way to configure and manage AWS App Mesh using Kubernetes directly. AWS App Mesh is a service mesh that provides application-level networking to standardize how your services communicate, giving you end-to-end visibility and allowing high availability for your applications.

Today, we are excited to announce a Transformers-based algorithm in AWS DeepComposer. AWS DeepComposer gives developers a creative way to get hands-on using a musical keyboard and the latest generative AI techniques to expand their skills. Transformers are state-of-the-art models that work on sequential data such as text, stock values, music, and genome sequences. With the newly launched Transformers feature, developers can iteratively extend a melody in AWS DeepComposer to create new and longer compositions.  

Now you can export your Amazon DynamoDB table data to your data lake in Amazon S3, and use other AWS services such as Amazon Athena, Amazon SageMaker, and AWS Lake Formation to analyze your data and extract actionable insights. No code-writing is required. 

Today, we are excited to announce our next AWS DeepComposer Chartbusters challenge, Keep Calm and Model On. AWS DeepComposer gives developers a creative way to get hands-on using a musical keyboard and the latest generative AI techniques to expand their skills. Chartbusters is a global competition where developers use AWS DeepComposer to create original compositions and compete to showcase their machine learning and generative AI skills for a chance to win prizes. In this challenge, developers can experiment with our newly launched Transformers algorithm which allows developers to extend an input melody by up to 30 seconds. Entries are due by January 31, 2021. Learn more about how to compete on the AWS DeepComposer Chartbusters competition.