AWS prescriptive-guidance documentation change
Summary
Updated navigation link destination, modified AWS Glue URL parameters, and added AWS Data Pipeline as alternative ETL service
Security assessment
Changes expand service options and update links without security implications. No security features are added or vulnerabilities addressed; the security reference to 'architectural guardrails' remains unchanged.
Diff
diff --git a/prescriptive-guidance/latest/aws-caf-platform-perspective/data-eng.md b/prescriptive-guidance/latest/aws-caf-platform-perspective/data-eng.md index 83b2a4a18..4ecedbaa6 100644 --- a//prescriptive-guidance/latest/aws-caf-platform-perspective/data-eng.md +++ b//prescriptive-guidance/latest/aws-caf-platform-perspective/data-eng.md @@ -5 +5 @@ -[Documentation](/index.html)[AWS Prescriptive Guidance](https://aws.amazon.com/prescriptive-guidance/)[AWS Cloud Adoption Framework: Platform perspective](welcome.html) +[Documentation](/index.html)[AWS Prescriptive Guidance](https://aws.amazon.com/prescriptive-guidance/)[AWS Cloud Adoption Framework: Platform perspective](introduction.html) @@ -13 +13 @@ StartAdvanceExcel -Use metadata to automate [pipelines](https://aws.amazon.com/glue/) that process raw data and generate optimized outputs. Leverage existing architectural guardrails and security controls as defined across the AWS CAF platform architecture and platform engineering capabilities, as well as the Operations perspective. Work with the platform engineering enablement team to develop reusable [blueprints](https://aws.amazon.com/blogs/big-data/simplify-data-integration-pipeline-development-using-aws-glue-custom-blueprints/) for common patterns that simplify pipeline deployment. +Use metadata to automate [pipelines](https://aws.amazon.com/glue/?whats-new-cards.sort-by=item.additionalFields.postDateTime&whats-new-cards.sort-order=desc) that process raw data and generate optimized outputs. Leverage existing architectural guardrails and security controls as defined across the AWS CAF platform architecture and platform engineering capabilities, as well as the Operations perspective. Work with the platform engineering enablement team to develop reusable [blueprints](https://aws.amazon.com/blogs/big-data/simplify-data-integration-pipeline-development-using-aws-glue-custom-blueprints/) for common patterns that simplify pipeline deployment. @@ -51 +51 @@ Modern architecture design emphasizes taking advantage of managed services that -Data processing is a crucial step in making sense of the vast amounts of data collected by modern organizations. To get started with data processing, AWS offers managed services such as [AWS Glue](https://docs.aws.amazon.com/glue/latest/dg/what-is-glue.html), which provides powerful extract, transform, and load (ETL) capabilities. Organizations can use these services to start processing and transforming raw data, including cleaning, normalizing, and aggregating data to prepare it for analysis. +Data processing is a crucial step in making sense of the vast amounts of data collected by modern organizations. To get started with data processing, AWS offers managed services such as [AWS Glue](https://docs.aws.amazon.com/glue/latest/dg/what-is-glue.html) or [AWS Data Pipeline](https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/what-is-datapipeline.html), which provide powerful extract, transform, and load (ETL) capabilities. Organizations can use these services to start processing and transforming raw data, including cleaning, normalizing, and aggregating data to prepare it for analysis.