AWS AmazonS3 documentation change
Summary
Fixed broken documentation link for AWS service integration guide
Security assessment
The change corrects a markdown link syntax error but contains no security-related content changes. While the linked content might include security information, the change itself only fixes navigation without altering security documentation.
Diff
diff --git a/AmazonS3/latest/userguide/s3-tables-access.md b/AmazonS3/latest/userguide/s3-tables-access.md index c2fbe9ef1..d52189178 100644 --- a//AmazonS3/latest/userguide/s3-tables-access.md +++ b//AmazonS3/latest/userguide/s3-tables-access.md @@ -27 +27 @@ To access tables the IAM identity you use needs access to your table resources a -You can integrate S3 table buckets with Amazon SageMaker Lakehouse to access tables from AWS analytics services, such as Amazon Athena, Amazon Redshift, and 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. For more information on integrating, see [](./.html#s3-tables-integrating-aws). +You can integrate S3 table buckets with Amazon SageMaker Lakehouse to access tables from AWS analytics services, such as Amazon Athena, Amazon Redshift, and 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. For more information on integrating, see [Integrating Amazon S3 Tables with AWS analytics services](./s3-tables-integrating-aws.html).