AWS glue documentation change
Summary
Updated Zero-ETL documentation to reflect current supported sources (DynamoDB, Oracle Database@AWS, SaaS) and targets (Lakehouse architecture of Amazon SageMaker, Amazon S3 Tables, Redshift Managed Storage, Amazon Redshift Datawarehouse), removed self-managed database sources, and updated terminology from 'Amazon SageMaker Lakehouse' to 'Lakehouse architecture of Amazon SageMaker'.
Security assessment
The changes are routine documentation updates to reflect product capabilities and terminology changes. No security vulnerabilities, weaknesses, or incidents are mentioned. The update includes minor text corrections and restructuring of source/target lists without any security context.
Diff
diff --git a/glue/latest/dg/zero-etl-using.md b/glue/latest/dg/zero-etl-using.md index 407734e46..ae0c0cdfc 100644 --- a//glue/latest/dg/zero-etl-using.md +++ b//glue/latest/dg/zero-etl-using.md @@ -11 +11 @@ Zero-ETL capabilities in AWS Glue -[Zero-ETL](https://aws.amazon.com/what-is/zero-etl/) is a set of fully managed integrations by AWS that minimizes the need to build ETL data pipelines for common ingestion and replication use cases. It makes data available in Amazon SageMaker Lakehouse and Amazon Redshift from multiple operational, transactional, and application sources. With zero-ETL integration, you have fresher data for analytics, AI/ML, and reporting. You get more accurate and timely insights for use cases like business dashboards, optimized gaming experience, data quality monitoring, and customer behavior analysis. You can make data-driven predictions with more confidence, improve customer experiences, and promote data-driven insights across the business. +[Zero-ETL](https://aws.amazon.com/what-is/zero-etl/) is a set of fully managed integrations by AWS that minimizes the need to build ETL data pipelines for common ingestion and replication use cases. It makes data available in Lakehouse architecture of Amazon SageMaker and Amazon Redshift from multiple operational, transactional, and application sources. Currently AWS Glue Zero-ETL supports DynamoDB, Oracle Database@AWS and SaaS sources like Salesforce, SAP, Zendesk as sources. With zero-ETL integration, you have fresher data for analytics, AI/ML, and reporting. You get more accurate and timely insights for use cases like business dashboards, optimized gaming experience, data quality monitoring, and customer behavior analysis. You can make data-driven predictions with more confidence, improve customer experiences, and promote data-driven insights across the business. @@ -15 +15 @@ Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service -Amazon SageMaker Lakehouse unifies all your data across Amazon Simple Storage Service (S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines. With SageMaker Lakehouse, you also have the flexibility to access and query your data in-place with Apache Iceberg compatible tools and engines. Additionally, you can secure your data with integrated, fine-grained access controls, that are enforced across all your data in all analytic tools and engines. Define permissions once and confidently share data across your organization. +Lakehouse architecture of Amazon SageMaker unifies all your data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. Lakehouse architecture of Amazon SageMaker gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines. With SageMaker Lakehouse, you also have the flexibility to access and query your data in-place with Apache Iceberg compatible tools and engines. Additionally, you can secure your data with integrated, fine-grained access controls, that are enforced across all your data in all analytic tools and engines. Define permissions once and confidently share data across your organization. @@ -19 +19 @@ Amazon SageMaker Lakehouse unifies all your data across Amazon Simple Storage Se -Zero-ETL integrations in AWS Glue simplify data ingestion and replication from AWS data service, third-party applications, and self-managed databases to AWS destinations. +Zero-ETL integrations in AWS Glue simplify data ingestion and replication from AWS data services and third-party applications to AWS destinations. @@ -21 +21 @@ Zero-ETL integrations in AWS Glue simplify data ingestion and replication from A -AWS services supported as zero-ETL sources in AWS Glue include: +AWS services supported by Zero-ETL sources in AWS Glue include: @@ -24,0 +25 @@ AWS services supported as zero-ETL sources in AWS Glue include: + * Oracle at AWS, ODB @@ -28 +29,2 @@ AWS services supported as zero-ETL sources in AWS Glue include: -Third-party applications supported as zero-ETL sources in AWS Glue include: + +Third-party applications using AWS Glue connections include: @@ -49,16 +51 @@ Third-party applications supported as zero-ETL sources in AWS Glue include: -Self-managed databases supported as zero-ETL sources in AWS Glue include: - - * Oracle - - * SQL Server - - * MySQL - - * PostgreSQL - - - - -For more information about zero-ETL integrations from self-managed sources, see [AWS zero-ETL integration for self-managed database sources](https://docs.aws.amazon.com/dms/latest/userguide/zero-etl.html). - -AWS services supported as zero-ETL targets in AWS Glue include: +AWS services supported by Zero-ETL targets in AWS Glue include: @@ -66 +53 @@ AWS services supported as zero-ETL targets in AWS Glue include: - * Amazon Redshift + * General purpose Amazon S3 bucket via Lakehouse architecture of Amazon SageMaker @@ -68 +55 @@ AWS services supported as zero-ETL targets in AWS Glue include: - * Amazon SageMaker Lakehouse + * Amazon S3 Tables via Lakehouse architecture of Amazon SageMaker @@ -69,0 +57 @@ AWS services supported as zero-ETL targets in AWS Glue include: + * Redshift Managed Storage via Lakehouse architecture of Amazon SageMaker @@ -70,0 +59 @@ AWS services supported as zero-ETL targets in AWS Glue include: + * Amazon Redshift Datawarehouse @@ -73 +61,0 @@ AWS services supported as zero-ETL targets in AWS Glue include: -###### Note @@ -75 +62,0 @@ AWS services supported as zero-ETL targets in AWS Glue include: -When creating a zero-ETL integration with an Amazon DynamoDB source in AWS Glue, the target is supported by Amazon SageMaker Lakehouse. @@ -85 +72 @@ Using AWS Glue streaming metrics -Prerequisites +Configuring a source