AWS sagemaker-lakehouse-architecture documentation change
Summary
Updated terminology from 'SageMaker lakehouse architecture' to 'The lakehouse architecture of Amazon SageMaker' and adjusted related links. No functional changes to capabilities.
Security assessment
Changes are branding/terminology updates without modifying security controls. References to access controls remain unchanged from previous documentation.
Diff
diff --git a/sagemaker-lakehouse-architecture/latest/userguide/what-is-smlh.md b/sagemaker-lakehouse-architecture/latest/userguide/what-is-smlh.md index 6a62c0fe4..6e8848fad 100644 --- a//sagemaker-lakehouse-architecture/latest/userguide/what-is-smlh.md +++ b//sagemaker-lakehouse-architecture/latest/userguide/what-is-smlh.md @@ -5 +5 @@ -# What is Amazon SageMaker lakehouse architecture? +# What is The lakehouse architecture of Amazon SageMaker? @@ -7 +7 @@ -SageMaker lakehouse architecture unifies your data across Amazon S3 data lakes and Amazon Redshift data warehouses, helping you build powerful analytics, machine learning (ML), and generative AI applications on a single copy of data. SageMaker lakehouse architecture provides integrated access controls and open-source [Apache Iceberg](https://iceberg.apache.org/) for data interoperability and collaboration. With SageMaker lakehouse architecture, you can build an open lakehouse on your existing data investments, without changing your data architecture. +The lakehouse architecture of Amazon SageMaker unifies your data across Amazon S3 data lakes and Amazon Redshift data warehouses, helping you build powerful analytics, machine learning (ML), and generative AI applications on a single copy of data. The lakehouse architecture provides integrated access controls and open-source [Apache Iceberg](https://iceberg.apache.org/) for data interoperability and collaboration. With The lakehouse architecture, you can build an open lakehouse on your existing data investments, without changing your data architecture. @@ -9 +9 @@ SageMaker lakehouse architecture unifies your data across Amazon S3 data lakes a -SageMaker lakehouse architecture provides the following key capabilities. +The lakehouse architecture provides the following key capabilities. @@ -11 +11 @@ SageMaker lakehouse architecture provides the following key capabilities. - * **Unified data access** \- With SageMaker lakehouse architecture, you can query and access data across Amazon S3 data lakes, Amazon Redshift data warehouses, and other sources using [Apache Iceberg](https://iceberg.apache.org/) compatible tools and engines. This includes AWS services such as Amazon Athena, Amazon Redshift, Amazon EMR, Amazon SageMaker AI, as well as third-party engines, all of which you can use to query your data in-place. + * **Unified data access** \- With The lakehouse architecture, you can query and access data across Amazon S3 data lakes, Amazon Redshift data warehouses, and other sources using [Apache Iceberg](https://iceberg.apache.org/) compatible tools and engines. This includes AWS services such as Amazon Athena, Amazon Redshift, Amazon EMR, Amazon SageMaker AI, as well as third-party engines, all of which you can use to query your data in-place. @@ -13 +13 @@ SageMaker lakehouse architecture provides the following key capabilities. - * **Integrated access control** \- SageMaker lakehouse architecture provides integrated fine-grained access control to your data. This means that you can define permissions and consistently apply them across all analytics and ML tools and engines, regardless of the underlying storage formats or query engines used. + * **Integrated access control** \- The lakehouse architecture provides integrated fine-grained access control to your data. This means that you can define permissions and consistently apply them across all analytics and ML tools and engines, regardless of the underlying storage formats or query engines used. @@ -15 +15 @@ SageMaker lakehouse architecture provides the following key capabilities. - * **Open source compatibility** \- SageMaker lakehouse architecture leverages open-source [Apache Iceberg](https://iceberg.apache.org/), enabling data interoperability across various Apache Iceberg compatible query engines and tools. This gives you the flexibility to choose your preferred tools and engines. + * **Open source compatibility** \- The lakehouse architecture leverages open-source [Apache Iceberg](https://iceberg.apache.org/), enabling data interoperability across various Apache Iceberg compatible query engines and tools. This gives you the flexibility to choose your preferred tools and engines. @@ -22 +22 @@ SageMaker lakehouse architecture provides the following key capabilities. - * [Amazon SageMaker lakehouse architecture key components](./lakehouse-components.html) + * [The lakehouse architecture of Amazon SageMaker key components](./lakehouse-components.html) @@ -24 +24 @@ SageMaker lakehouse architecture provides the following key capabilities. - * [How Amazon SageMaker lakehouse architecture works](./lakehouse-how.html) + * [How The lakehouse architecture of Amazon SageMaker works](./lakehouse-how.html) @@ -26 +26 @@ SageMaker lakehouse architecture provides the following key capabilities. - * [Data connections in Amazon SageMaker lakehouse architecture](./lakehouse-data-connection.html) + * [Data connections in The lakehouse architecture of Amazon SageMaker](./lakehouse-data-connection.html) @@ -28 +28 @@ SageMaker lakehouse architecture provides the following key capabilities. - * [Apache Iceberg support in Amazon SageMaker lakehouse architecture](./lakehouse-iceberg.html) + * [Apache Iceberg support in The lakehouse architecture of Amazon SageMaker](./lakehouse-iceberg.html)