AWS AmazonS3 documentation change
Summary
Fixed broken internal link syntax for 'Integrate your table buckets with AWS analytics services'
Security assessment
Change only corrects markdown link formatting with no security implications
Diff
diff --git a/AmazonS3/latest/userguide/s3-tables-integrating-glue-endpoint.md b/AmazonS3/latest/userguide/s3-tables-integrating-glue-endpoint.md index 6d5f9c5cf..97ad647a6 100644 --- a//AmazonS3/latest/userguide/s3-tables-integrating-glue-endpoint.md +++ b//AmazonS3/latest/userguide/s3-tables-integrating-glue-endpoint.md @@ -15 +15 @@ For an end to end walkthrough using PyIceberg, see [Access data in Amazon S3 Tab - * [Integrate your table buckets with AWS analytics services](./s3-tables-integrating-aws.html) + * [Integrate your table buckets with AWS analytics services](./.html#s3-tables-integrating-aws) @@ -127,45 +127 @@ Open the Lake Formation console at [https://console.aws.amazon.com/lakeformation -Next, grant Lake Formation permissions to the IAM role you created for your Iceberg-compatible client. These permissions will allow the role to create and manage tables in your namespace. You need to provide both database and table-level permissions: - -#### To grant database permissions - - 1. Open the AWS Lake Formation console at [https://console.aws.amazon.com/lakeformation/](https://console.aws.amazon.com/lakeformation/), and sign in as a data lake administrator. - - 2. In the navigation pane, choose **Data permissions** and then choose **Grant**. - - 3. On the **Grant Permissions** page, under **Principals** , choose **IAM users and roles** and select the IAM role you created for AWS Glue Iceberg REST endpoint access. - - 4. Under **LF-Tags or catalog resources** , choose **Named Data Catalog resources**. - - 5. For **Catalogs** , choose the AWS Glue data catalog that was created for your table bucket. For example, ``<accoundID>`:s3tablescatalog/`<table-bucket-name>``. - - 6. For **Databases** , choose `mynamespace`. - - 7. For **Table permissions** , choose **Create table** and **Describe**. - - 8. Choose **Grant**. - - - - -#### To grant table permissions - - 1. Open the AWS Lake Formation console at https://console.aws.amazon.com/lakeformation/, and sign in as a data lake administrator. - - 2. In the navigation pane, choose **Data permissions** and then choose **Grant**. - - 3. On the **Grant Permissions** page, under **Principals** , choose **IAM users and roles** and select the IAM role you created for AWS Glue Iceberg REST endpoint access. - - 4. Under **LF-Tags or catalog resources** , choose **Named Data Catalog resources**. - - 5. For **Catalogs** , choose the AWS Glue data catalog that was created for your table bucket. For example, ``<accoundID>`:s3tablescatalog/`<table-bucket-name>``. - - 6. For **Databases** , choose the S3 table bucket namespace that you created. - - 7. For **Tables** , choose **ALL_TABLES**. - - 8. For **Table permissions** , choose **Super**. - - 9. Choose **Grant**. - - - +Next, grant Lake Formation permissions to the IAM role you created for your Iceberg-compatible client. These permissions will allow the role to create and manage tables in your namespace. You need to provide both database and table-level permissions. For more information, see [Granting Lake Formation permission on a table or database](./grant-permissions-tables.html#grant-lf-table). @@ -214 +170 @@ To use the Amazon Web Services Documentation, Javascript must be enabled. Please -Using S3 Tables with AWS analytics services +S3 Tables integration overview