AWS prescriptive-guidance documentation change
Summary
Updated document date, added SageMaker lakehouse architecture integration details, and expanded Iceberg usage guidance with Trino/PyIceberg sections
Security assessment
Changes include routine date updates, architectural integration details about SageMaker's lakehouse compatibility with Iceberg, and expanded usage examples. No security vulnerabilities, configurations, or mitigations are mentioned. The REST API reference is mentioned without security implementation details.
Diff
diff --git a/prescriptive-guidance/latest/apache-iceberg-on-aws/introduction.md b/prescriptive-guidance/latest/apache-iceberg-on-aws/introduction.md index b6c8ec589..3615dea63 100644 --- a//prescriptive-guidance/latest/apache-iceberg-on-aws/introduction.md +++ b//prescriptive-guidance/latest/apache-iceberg-on-aws/introduction.md @@ -9 +9 @@ -_July 2025_ ([document history](./doc-history.html)) +_August 2025_ ([document history](./doc-history.html)) @@ -11 +11 @@ _July 2025_ ([document history](./doc-history.html)) -Apache Iceberg is an open-source table format that simplifies table management while improving performance. AWS analytics services such as Amazon EMR, AWS Glue, Amazon Athena, and Amazon Redshift include native support for Apache Iceberg, so you can easily build transactional data lakes on top of Amazon Simple Storage Service (Amazon S3) on AWS. +Apache Iceberg is an open-source table format that simplifies table management while improving performance. AWS analytics services such as Amazon EMR, AWS Glue, Amazon Athena, and Amazon Redshift include native support for Iceberg, so you can easily build transactional data lakes on top of Amazon Simple Storage Service (Amazon S3) on AWS. @@ -13 +13 @@ Apache Iceberg is an open-source table format that simplifies table management w -This technical guide provides guidance on getting started with Apache Iceberg on different AWS services, and includes best practices and recommendations for running Apache Iceberg on AWS at scale while optimizing cost and performance. +In addition, the next generation of Amazon SageMaker is built on an [open lakehouse architecture](https://aws.amazon.com/sagemaker/lakehouse/) that unifies data access across AWS data lakes, data warehouses, and third-party and federated sources. The lakehouse is fully compatible with Iceberg and gives you the flexibility to access and query data in place by using the Iceberg REST API. @@ -15 +15,3 @@ This technical guide provides guidance on getting started with Apache Iceberg on -This guide applies to anyone who is using Apache Iceberg on AWS, from novice users who want to swiftly get started with Apache Iceberg to advanced users who want to optimize and tune their existing Apache Iceberg workloads on AWS. +This technical guide provides guidance on getting started with Iceberg on different AWS services, and includes best practices and recommendations for running Iceberg on AWS at scale while optimizing cost and performance. + +Whether you're just starting out with Iceberg or you're an experienced user looking to optimize your existing Iceberg workloads on AWS, this guide offers valuable insights for every stage of your project @@ -28,0 +31,2 @@ In this guide: + * [Working with Iceberg tables by using Trino](./iceberg-trino.html) + @@ -32,0 +37,2 @@ In this guide: + * [Working with Iceberg tables by using PyIceberg](./iceberg-pyiceberg.html) +