AWS sagemaker-unified-studio documentation change
Summary
Updated documentation to reference SageMaker Data Agent instead of Amazon Q chatbot, added IAM domain context and link to Query Editor guide
Security assessment
Change focuses on rebranding/renaming of the SQL tool and workflow improvements. Mention of IAM domains relates to access control configuration but does not introduce new security documentation.
Diff
diff --git a/sagemaker-unified-studio/latest/userguide/generative-sql.md b/sagemaker-unified-studio/latest/userguide/generative-sql.md index aa6d1c4c0..6ce0e67a5 100644 --- a//sagemaker-unified-studio/latest/userguide/generative-sql.md +++ b//sagemaker-unified-studio/latest/userguide/generative-sql.md @@ -7 +7 @@ -Amazon SageMaker Unified Studio allows you to create SQL queries by interacting with a chatbot powered by Amazon Q. The text-to-SQL interpreter understands the context of your data and generates SQL queries that you can use in your analysis. +Amazon SageMaker Unified Studio allows you to generate SQL queries using natural language through the SageMaker Data Agent. The agent understands the context of your data and generates SQL queries that you can use in your analysis. In IAM-based domains, the SageMaker Data Agent provides multi-turn conversational SQL development with step-by-step planning and error correction. For more information, see [Getting started with the SageMaker Data Agent for Query Editor](./data-agent-query-editor.html). @@ -11 +11 @@ You can find the Generative SQL tool in the Query Editor of a project. -.png) + @@ -13 +13 @@ You can find the Generative SQL tool in the Query Editor of a project. -The Generative SQL chat application understands the context of your data and will let you ask natural language questions like "What are the columns in the job success table?", in order to generate SQL. When you ask a question, an SQL query is generated based on the question you have provided. After creating a query with the tool you can add the generated SQL to your querybook with a single click. +The Generative SQL interface understands the context of your data and lets you ask natural language questions like "What are the columns in the job success table?", in order to generate SQL. When you ask a question, an SQL query is generated based on the question you have provided. After creating a query with the tool you can add the generated SQL to your querybook with a single click.