AWS AmazonS3 documentation change
Summary
Added entries for S3 table integration with SageMaker Lakehouse (GA) and console support for creating/querying tables via Athena
Security assessment
The integration with Lake Formation introduces documentation about fine-grained access control, which is a security feature. However, there is no evidence this addresses a specific security vulnerability.
Diff
diff --git a/AmazonS3/latest/userguide/WhatsNew.md b/AmazonS3/latest/userguide/WhatsNew.md index 3d00bc5e3..572339a03 100644 --- a/AmazonS3/latest/userguide/WhatsNew.md +++ b/AmazonS3/latest/userguide/WhatsNew.md @@ -17,0 +18,2 @@ Change| Description| Date +S3 table bucket integration with Amazon SageMaker Lakehouse is now generally available| You can integrate S3 table buckets with Amazon SageMaker Lakehouse to access tables from AWS analytics services, such as Amazon Athena, Amazon Redshift, and Amazon QuickSight. Amazon SageMaker Lakehouse unifies your data across Amazon S3 data lakes and Amazon Redshift data warehouses, so you can build analytics, machine learning (ML), and generative AI applications on a single copy of data. The integration populates the AWS Glue Data Catalog with your table resources, and federates access to these resources with AWS Lake Formation. The integration enables fine-grained access control through Lake Formation to provide additional security. For more information about integrating, see [Using Amazon S3 Tables with AWS analytics services](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables-integrating-aws.html). If you set up the integration with the preview release, you can continue to use your current integration. However, the updated integration process provides performance improvements, so we recommend migrating. To migrate to the updated integration, see [Migrating to the updated integration process](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables-integrating-aws.html#migrate-integrate-console).| March 13, 2025 +S3 Tables create table and query table support added to the Amazon S3 console| S3 Tables now support create table and query table operations directly from the Amazon S3 console by using Amazon Athena. With this new feature, you can now create a table, populate it with data, and query it with just a few steps in the Amazon S3 console. For more information, see [Creating an Amazon S3 table](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables-create.html) and [Querying Amazon S3 tables with Athena](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables-integrating-athena.html).| March 13, 2025 @@ -19 +21 @@ S3 Tables adds support for adding schemas when creating tables | You can now use -S3 Metadata| Amazon S3 Metadata is now generally available. S3 Metadata helps you easily discover and understand your S3 data with automated, queryable metadata that updates in near real-time. With S3 Metadata, you can curate, identify, and use your S3 data for business analytics, artificial intelligence and machine learning (AI/ML) model training, and more. S3 Metadata supports object metadata, which includes system-defined information like the size and the source of the object, and custom metadata, such as tags with information like product SKUs, transaction IDs, or content ratings. For more information, see [Accelerating data discovery with S3 Metadata](https://docs.aws.amazon.com/AmazonS3/latest/userguide/metadata-tables-overview.html). | January 27, 2025 +S3 Metadata is now generally available| Amazon S3 Metadata is now generally available. S3 Metadata helps you easily discover and understand your S3 data with automated, queryable metadata that updates in near real-time. With S3 Metadata, you can curate, identify, and use your S3 data for business analytics, artificial intelligence and machine learning (AI/ML) model training, and more. S3 Metadata supports object metadata, which includes system-defined information like the size and the source of the object, and custom metadata, such as tags with information like product SKUs, transaction IDs, or content ratings. For more information, see [Accelerating data discovery with S3 Metadata](https://docs.aws.amazon.com/AmazonS3/latest/userguide/metadata-tables-overview.html). | January 27, 2025 @@ -22 +24 @@ S3 Tables| Amazon S3 Tables provide S3 storage that’s optimized for analytics -S3 Metadata Preview| Amazon S3 Metadata helps you easily discover and understand your S3 data with automated, queryable metadata that updates in near real-time. With S3 Metadata, you can curate, identify, and use your S3 data for business analytics, artificial intelligence and machine learning (AI/ML) model training, and more. S3 Metadata supports object metadata, which includes system-defined information like the size and the source of the object, and custom metadata, such as tags with information like product SKUs, transaction IDs, or content ratings. For more information, see [Accelerating data discovery with S3 Metadata](https://docs.aws.amazon.com/AmazonS3/latest/userguide/metadata-tables-overview.html). | December 3, 2024 +S3 Metadata preview| Amazon S3 Metadata helps you easily discover and understand your S3 data with automated, queryable metadata that updates in near real-time. With S3 Metadata, you can curate, identify, and use your S3 data for business analytics, artificial intelligence and machine learning (AI/ML) model training, and more. S3 Metadata supports object metadata, which includes system-defined information like the size and the source of the object, and custom metadata, such as tags with information like product SKUs, transaction IDs, or content ratings. For more information, see [Accelerating data discovery with S3 Metadata](https://docs.aws.amazon.com/AmazonS3/latest/userguide/metadata-tables-overview.html). | December 3, 2024