AWS sagemaker-lakehouse-architecture documentation change
Summary
Fixed URL formatting in multiple links (access portal, project profiles, Athena, Redshift)
Security assessment
Changes are URL syntax fixes without security content modifications. No evidence of security vulnerabilities being addressed.
Diff
diff --git a/sagemaker-lakehouse-architecture/latest/userguide/lakehouse-get-started.md b/sagemaker-lakehouse-architecture/latest/userguide/lakehouse-get-started.md index b81b72c34..39e8a0d0b 100644 --- a//sagemaker-lakehouse-architecture/latest/userguide/lakehouse-get-started.md +++ b//sagemaker-lakehouse-architecture/latest/userguide/lakehouse-get-started.md @@ -32 +32 @@ This guide helps you accomplish common tasks like finding relevant datasets, run - * Your administrator must grant you access to the [lakehouse architecture](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/getting-started-access-the-portal.html). + * Your administrator must grant you access to the [lakehouse architecture](https://docs.aws.amazon.com//sagemaker-unified-studio/latest/userguide/getting-started-access-the-portal.html). @@ -45 +45 @@ If you don't have proper access to a project, contact your administrator. To vie -You can create a project from a project profile, which defines a template for projects in your domain. To use lakehouse architecture, your project must be created using either [Data analytics and AI-ML model development](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/data-analytics-ai-model-development.html) or [SQL analytics](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/project-profiles.html) project profile. For more information about creating a project, see [Create a project](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/getting-started-create-a-project.html) from lakehouse architecture User Guide. +You can create a project from a project profile, which defines a template for projects in your domain. To use lakehouse architecture, your project must be created using either [Data analytics and AI-ML model development](https://docs.aws.amazon.com//sagemaker-unified-studio/latest/adminguide/data-analytics-ai-model-development.html) or [SQL analytics](https://docs.aws.amazon.com//sagemaker-unified-studio/latest/adminguide/project-profiles.html) project profile. For more information about creating a project, see [Create a project](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/getting-started-create-a-project.html) from lakehouse architecture User Guide. @@ -97 +97 @@ You can query data using supported query editor. - 3. Choose **Query with Athena**. This opens the **Data explorer** page where you can run SQL queries. You might find information in [SQL reference for Athena](https://docs.aws.amazon.com/athena/latest/ug/ddl-sql-reference.html) helpful. + 3. Choose **Query with Athena**. This opens the **Data explorer** page where you can run SQL queries. You might find information in [SQL reference for Athena](https://docs.aws.amazon.com//athena/latest/ug/ddl-sql-reference.html) helpful. @@ -99 +99 @@ You can query data using supported query editor. - 4. Choose **Query with Amazon Redshift**. This opens the **Data explorer** page where you can run SQL queries. You might find information in [Querying a database using the query editor v2](https://docs.aws.amazon.com/redshift/latest/mgmt/query-editor-v2.html) helpful. + 4. Choose **Query with Amazon Redshift**. This opens the **Data explorer** page where you can run SQL queries. You might find information in [Querying a database using the query editor v2](https://docs.aws.amazon.com//redshift/latest/mgmt/query-editor-v2.html) helpful.