AWS clean-rooms documentation change
Summary
Removed references to 'jobs' throughout documentation, changed 'analysis logs' to 'query logs', and simplified compute cost descriptions to focus solely on queries
Security assessment
Changes appear to streamline documentation by removing deprecated job-related functionality rather than addressing security issues. No explicit security vulnerabilities or mitigations mentioned.
Diff
diff --git a/clean-rooms/latest/userguide/what-is.md b/clean-rooms/latest/userguide/what-is.md index 524ad97d0..5f8679845 100644 --- a/clean-rooms/latest/userguide/what-is.md +++ b/clean-rooms/latest/userguide/what-is.md @@ -11 +11 @@ AWS Clean Rooms helps you and your partners analyze and collaborate on your coll -With AWS Clean Rooms, you can collaborate with thousands of companies already using AWS. Collaboration doesn't require moving data out of AWS or loading it into another cloud services provider. When you run queries or jobs, AWS Clean Rooms reads data from that data's original location and applies built-in analysis rules to help you maintain control over that data. +With AWS Clean Rooms, you can collaborate with thousands of companies already using AWS. Collaboration doesn't require moving data out of AWS or loading it into another cloud services provider. When you run queries, AWS Clean Rooms reads data from that data's original location and applies built-in analysis rules to help you maintain control over that data. @@ -19 +19 @@ AWS Clean Rooms provides built-in data access controls and audit support control - * [Analysis logs](./query-logs.html) to review queries and jobs in AWS Clean Rooms and help support audits. + * [Query logs](./query-logs.html) to review queries in AWS Clean Rooms and help support audits. @@ -47 +47 @@ If you are a first-time user of AWS Clean Rooms, we recommend that you begin by -In AWS Clean Rooms, you create a collaboration and add the AWS accounts that you want to invite, or create a membership to join a collaboration that you've been invited to. You then link the data resources needed for your use case: configured tables for event data, configured models for ML modeling, or ID namespaces for entity resolution. You have the option to create or approve analysis templates to agree in advance on the exact queries and jobs that you want to allow in a collaboration. Finally, you analyze the joint data by running SQL queries or PySpark jobs on the configured tables, performing entity resolution in ID mapping tables, or using ML modeling to generate lookalike audience segments. +In AWS Clean Rooms, you create a collaboration and add the AWS accounts that you want to invite, or create a membership to join a collaboration that you've been invited to. You then link the data resources needed for your use case: configured tables for event data, configured models for ML modeling, or ID namespaces for entity resolution. You have the option to create or approve analysis templates to agree in advance on the exact queries that you want to allow in a collaboration. Finally, you analyze the joint data by running SQL queries on the configured tables, performing entity resolution in ID mapping tables, or using ML modeling to generate lookalike audience segments. @@ -164 +164 @@ For collaboration members who associated data that is stored in Snowflake, you w -AWS Clean Rooms gives the collaboration creator the ability to designate which member is paying for query or job compute costs in the collaboration. +AWS Clean Rooms gives the collaboration creator the ability to designate which member is paying for query compute costs in the collaboration.