AWS AmazonS3 documentation change
Summary
Updated documentation links to include double slashes in URLs and removed duplicate entries about schema support in S3 Tables.
Security assessment
The changes are primarily URL formatting corrections and content deduplication. While the integration with Lake Formation mentions fine-grained access control for security, this was already present in the original text. No new security issues or vulnerabilities are addressed.
Diff
diff --git a/AmazonS3/latest/userguide/WhatsNew.md b/AmazonS3/latest/userguide/WhatsNew.md index ec62b9b5c..260d04c84 100644 --- a//AmazonS3/latest/userguide/WhatsNew.md +++ b//AmazonS3/latest/userguide/WhatsNew.md @@ -35,4 +35,4 @@ Access points for directory buckets are available in AWS Local Zones| Directory -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 Quick Suite. 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 -S3 Tables adds support for adding schemas when creating tables | You can now use the S3 Tables `CreateTable` API operation to create tables with schemas by adding an optional metadata flag. For more information, see [Creating tables](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables-create.html). | January 30, 2025 -S3 Tables adds support for adding schemas when creating tables | You can now use the S3 Tables `CreateTable` API operation to create tables with schemas by adding an optional metadata flag. For more information, see [ Creating tables](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables-create.html). | January 30, 2025 +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 Quick Suite. 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 +S3 Tables adds support for adding schemas when creating tables | You can now use the S3 Tables `CreateTable` API operation to create tables with schemas by adding an optional metadata flag. For more information, see [Creating tables](https://docs.aws.amazon.com//AmazonS3/latest/userguide/s3-tables-create.html). | January 30, 2025 +S3 Tables adds support for adding schemas when creating tables | You can now use the S3 Tables `CreateTable` API operation to create tables with schemas by adding an optional metadata flag. For more information, see [ Creating tables](https://docs.aws.amazon.com//AmazonS3/latest/userguide/s3-tables-create.html). | January 30, 2025