AWS sagemaker-lakehouse-architecture documentation change
Summary
Updated component list to include AWS Glue Data Catalog and AWS Lake Formation, adjusted terminology for consistency, and revised navigation links
Security assessment
The changes focus on architectural component clarifications and documentation structure. While AWS Lake Formation is a security-related service, the update only mentions it as part of the architecture without adding security-specific guidance. There is no evidence of addressing vulnerabilities or explaining security controls.
Diff
diff --git a/sagemaker-lakehouse-architecture/latest/userguide/lakehouse-components.md b/sagemaker-lakehouse-architecture/latest/userguide/lakehouse-components.md index d76fde11e..1f4aa00f7 100644 --- a//sagemaker-lakehouse-architecture/latest/userguide/lakehouse-components.md +++ b//sagemaker-lakehouse-architecture/latest/userguide/lakehouse-components.md @@ -3 +3 @@ -[Documentation](/index.html)[Amazon SageMaker lakehouse architecture](/next-generation-sagemaker/index.html)[Amazon SageMaker lakehouse architecture User Guide](what-is-smlh.html) +[Documentation](/index.html)[Amazon SageMaker lakehouse architecture](/next-generation-sagemaker/index.html)[User Guide](what-is-smlh.html) @@ -7 +7 @@ -The lakehouse architecture has the following key components. +The lakehouse architecture has the following key components, in addition to the components of AWS Glue Data Catalog and AWS Lake Formation. @@ -17 +17 @@ You can read and write data into Amazon S3 or Redshift Managed Storage (RMS) bas -A catalog is a logical container that organizes objects from a data store, such as schemas, tables, views, or materialized views such as from Amazon Redshift. You can create nested catalogs to mirror the hierarchical structure of your data sources within SageMaker AI Lakehouse. +A catalog is a logical container that organizes objects from a data store, such as schemas, tables, views, or materialized views such as from Amazon Redshift. You can create nested catalogs to mirror the hierarchical structure of your data sources within the lakehouse architecture. @@ -19 +19 @@ A catalog is a logical container that organizes objects from a data store, such -There are two types of catalogs in Lakehouse: federated catalogs and managed catalogs. A federated catalog mounts existing data sources you add to Lakehouse. A federated catalog can bring existing data in data sources such as Amazon Redshift, Amazon DynamoDB, and Snowflake. A managed catalog refers to a new catalog you create using Lakehouse. A managed catalog manages data using RMS or S3, as shown in the following diagram. +There are two types of catalogs in Lakehouse: federated catalogs and managed catalogs. A federated catalog mounts existing data sources you add to the lakehouse. A federated catalog can bring existing data in data sources such as Amazon Redshift, Amazon DynamoDB, and Snowflake. A managed catalog refers to a new catalog you create using Lakehouse. A managed catalog manages data using RMS or S3, as shown in the following diagram.