AWS clean-rooms documentation change
Summary
Consolidated documentation structure by removing separate PySpark/SQL sections and updated terminology from 'analyze' to 'query'
Security assessment
Changes are structural/organizational with no security context mentioned. Focuses on query terminology rather than security features.
Diff
diff --git a/clean-rooms/latest/userguide/data-formats.md b/clean-rooms/latest/userguide/data-formats.md index ed7f25f0f..298c571af 100644 --- a/clean-rooms/latest/userguide/data-formats.md +++ b/clean-rooms/latest/userguide/data-formats.md @@ -5 +5 @@ -Supported data formats for PySpark jobsSupported data formats for SQL queriesSupported data typesFile compression types for AWS Clean RoomsServer-side encryption for AWS Clean Rooms +Supported data formatsSupported data typesFile compression types for AWS Clean RoomsServer-side encryption for AWS Clean Rooms @@ -9 +9 @@ Supported data formats for PySpark jobsSupported data formats for SQL queriesSup -To analyze data, the datasets must be in a format that AWS Clean Rooms supports. +To query data, the datasets must be in a format that AWS Clean Rooms supports. @@ -11 +11 @@ To analyze data, the datasets must be in a format that AWS Clean Rooms supports. -###### Topics +## Supported data formats @@ -13,29 +13 @@ To analyze data, the datasets must be in a format that AWS Clean Rooms supports. - * Supported data formats for PySpark jobs - - * Supported data formats for SQL queries - - * Supported data types - - * File compression types for AWS Clean Rooms - - * Server-side encryption for AWS Clean Rooms - - - - -## Supported data formats for PySpark jobs - -AWS Clean Rooms supports the following structured formats for running PySpark jobs. - - * Parquet - - * OpenCSV - - * JSON - - - - -## Supported data formats for SQL queries - -AWS Clean Rooms supports different structured formats for running SQL queries, depending on whether you choose the Spark SQL analytics engine or the AWS Clean Rooms SQL analytics engine. +AWS Clean Rooms supports different structured formats, depending on whether you choose the Spark SQL analytics engine or the AWS Clean Rooms SQL analytics engine.