AWS clean-rooms documentation change
Summary
Added glossary entries for AWS Clean Rooms SQL and Spark analytics engines, including security-related data privacy features
Security assessment
The AWS Clean Rooms SQL engine documentation explicitly mentions data privacy features like differential privacy, which qualifies as security feature documentation. No security vulnerabilities are addressed.
Diff
diff --git a/clean-rooms/latest/userguide/glossary.md b/clean-rooms/latest/userguide/glossary.md index 004fda62e..b7131edc4 100644 --- a//clean-rooms/latest/userguide/glossary.md +++ b//clean-rooms/latest/userguide/glossary.md @@ -5 +5 @@ -Aggregation analysis ruleAnalysis rulesAnalysis templateC3R encryption clientCleartext columnCollaborationCollaboration creatorConfigured tableCustom analysis ruleDecryptionDifferential privacyEncryptionFingerprint columnID mapping workflow methodID mapping tableID mapping table analysis ruleID mapping workflowID namespaceID namespace associationJobList analysis ruleLookalike modelLookalike segmentMemberMember who can queryMember who can run queries and jobsMember who can receive resultsMember paying for query compute costsMember paying for query and job compute costsMembershipSealed columnSeed dataQuery +Aggregation analysis ruleAnalysis rulesAnalysis templateAWS Clean Rooms SQL analytics engineC3R encryption clientCleartext columnCollaborationCollaboration creatorConfigured tableCustom analysis ruleDecryptionDifferential privacyEncryptionFingerprint columnID mapping workflow methodID mapping tableID mapping table analysis ruleID mapping workflowID namespaceID namespace associationJobList analysis ruleLookalike modelLookalike segmentMemberMember who can queryMember who can run queries and jobsMember who can receive resultsMember paying for query compute costsMember paying for query and job compute costsMembershipSealed columnSeed dataSpark analytics engineQuery @@ -36,0 +37,6 @@ Analysis templates only work with the [custom analysis rule](./analysis-rules-cu +## AWS Clean Rooms SQL analytics engine + +A built-in query processing system within AWS Clean Rooms that allows users to query data stored in Amazon S3 using SQL functions supported by AWS Clean Rooms. It supports various data formats and provides capabilities for running SQL queries on collaborative datasets while maintaining data privacy and control, including features like differential privacy. This engine is tailored for AWS Clean Rooms use cases, offering a balance of SQL functionality, data privacy features, and integration with other AWS Clean Rooms capabilities, making it suitable for users who don't require the advanced capabilities or scale of the Spark SQL analytics engine. + +When you create a collaboration using the [CreateCollaboration API](https://docs.aws.amazon.com/clean-rooms/latest/apireference/API_CreateCollaboration.html), the value of the AWS Clean Rooms SQL analytics engine is `CLEAN_ROOMS_SQL`. + @@ -239,0 +246,6 @@ The seed data provider's data, which is used to create a lookalike segment. The +## Spark analytics engine + +An analytics option in AWS Clean Rooms that enables customers to run complex queries on large datasets stored in Amazon S3, Amazon Athena, or Snowflake using Apache Spark SQL functions. It serves as an alternative to the AWS Clean Rooms SQL analytics engine, and also supports PySpark analysis in AWS Clean Rooms. + +When you create a collaboration using the [CreateCollaboration API](https://docs.aws.amazon.com/clean-rooms/latest/apireference/API_CreateCollaboration.html), the value of the Spark analytics engine is `SPARK`. +