AWS whitepapers documentation change
Summary
Updated service name references from 'Amazon S3 Glacier' to 'Amazon Glacier' in data lake documentation
Security assessment
The change is purely a naming convention update (S3 Glacier → Glacier) with no modifications to security practices, features, or incident-related content.
Diff
diff --git a/whitepapers/latest/building-data-lakes/building-data-lake-aws.md b/whitepapers/latest/building-data-lakes/building-data-lake-aws.md index e68b1987e..7f89e544b 100644 --- a//whitepapers/latest/building-data-lakes/building-data-lake-aws.md +++ b//whitepapers/latest/building-data-lakes/building-data-lake-aws.md @@ -13 +13 @@ Publication date: **November 16, 2021** ([Document history](./document-details.h -Amazon Simple Storage Service (Amazon S3) and Amazon Simple Storage Service Glacier (Amazon S3 Glacier) provide ideal storage solutions for data lakes. Data lakes, powered by Amazon S3, provide you with unmatched availability, agility, and flexibility required to combine different types of data and analytics approaches to gain deeper insights, in ways that traditional data silos and data warehouses cannot. In addition, data lakes built on Amazon S3 integrate with other analytical services for ingestion, inventory, transformation, and security of your data in the data lake. This guide explains each of these options and provides best practices for building, securing, managing, and scaling a data lake built on Amazon S3. +Amazon Simple Storage Service (Amazon S3) and Amazon Simple Storage Service Glacier (Amazon Glacier) provide ideal storage solutions for data lakes. Data lakes, powered by Amazon S3, provide you with unmatched availability, agility, and flexibility required to combine different types of data and analytics approaches to gain deeper insights, in ways that traditional data silos and data warehouses cannot. In addition, data lakes built on Amazon S3 integrate with other analytical services for ingestion, inventory, transformation, and security of your data in the data lake. This guide explains each of these options and provides best practices for building, securing, managing, and scaling a data lake built on Amazon S3.