AWS sap documentation change
Summary
Minor editorial updates including product name corrections ('Q Business' to 'Amazon Q Business', 'Quick Sight' to 'QuickSight') and phrasing improvements.
Security assessment
Changes are purely editorial with no security-related content modifications or vulnerability references.
Diff
diff --git a/sap/latest/general/artificial-intelligence.md b/sap/latest/general/artificial-intelligence.md index 773bb98c2..64254874a 100644 --- a//sap/latest/general/artificial-intelligence.md +++ b//sap/latest/general/artificial-intelligence.md @@ -44 +44 @@ Customers who choose to break data silos by creating data warehouse or data lake -The diagram above illustrates a design framework for Q Business based search for RISE customers. It illustrates how SAP data can be extracted utilizing AWS services and using pre-built connectors from Q Business organizations can create a unified search experience. +The preceding diagram illustrates a design framework for Amazon Q Business search for RISE customers. It shows how you can extract SAP data with AWS services and use pre-built Q Business connectors to create a unified search experience. @@ -52 +52 @@ Solution Flow: - 3. Utilize pre-built connectors to various data sources and applications to connect with Q Business. Ingest the relevant content while inheriting the existing identities, roles and permissions. + 3. Use pre-built connectors to various data sources and applications to connect with Q Business. Ingest the relevant content while inheriting the existing identities, roles and permissions. @@ -67 +67 @@ This democratization of data analysis dramatically reduces report generation tim -The diagram illustrates a framework of Amazon Quick Sight with SAP Data. +The preceding diagram shows a framework for Amazon QuickSight with SAP data. @@ -75 +75 @@ Solution Flow: - 3. Create an Quick Sight dataset and topic based on the Athena query. + 3. Create a QuickSight dataset and topic based on the Athena query.