AWS wellarchitected documentation change
Summary
Updated product references from 'Amazon QuickSight' to 'QuickSight' in multiple sections for consistency
Security assessment
Changes are branding/naming convention updates rather than security-related content modifications. The security-related section about logging/monitoring retains its security context but only changes product naming.
Diff
diff --git a/wellarchitected/latest/analytics-lens/characteristics-5.md b/wellarchitected/latest/analytics-lens/characteristics-5.md index 5602f3836..ccc2ead81 100644 --- a//wellarchitected/latest/analytics-lens/characteristics-5.md +++ b//wellarchitected/latest/analytics-lens/characteristics-5.md @@ -7 +7 @@ -**Scalability:** Ensure that the underlying BI infrastructure is able to scale up vertically and horizontally both in terms of concurrent users as well as data volume. For example, Amazon QuickSight SPICE, and web applications automatically scale up server capacity to accommodate a large number of concurrent users without any manual intervention in terms of provisioning additional capacity for data, load balancing, and other services. +**Scalability:** Ensure that the underlying BI infrastructure is able to scale up vertically and horizontally both in terms of concurrent users as well as data volume. For example, QuickSight SPICE, and web applications automatically scale up server capacity to accommodate a large number of concurrent users without any manual intervention in terms of provisioning additional capacity for data, load balancing, and other services. @@ -13 +13 @@ -**Sharing and collaboration:** BI applications must support data democratization. They must have features that allow sharing of the dashboards with other users in the company as well as for multiple report authors to collaborate with one another by sharing access to the underlying dataset. Not all BI tools have this capability. Amazon QuickSight allows the sharing of assets, such as data sources, data sets, analyses, dashboards, themes, and templates. +**Sharing and collaboration:** BI applications must support data democratization. They must have features that allow sharing of the dashboards with other users in the company as well as for multiple report authors to collaborate with one another by sharing access to the underlying dataset. Not all BI tools have this capability. QuickSight allows the sharing of assets, such as data sources, data sets, analyses, dashboards, themes, and templates. @@ -15 +15 @@ -**Logging, monitoring, and auditing:** BI applications must provide adequate mechanisms to monitor and audit the usage of the application for security (to prevent unwanted access to data assets and other resources) and troubleshooting. Amazon QuickSight can be used with Amazon CloudWatch, AWS CloudTrail, and IAM to track record of actions taken by a user, user role, or an AWS service. This provides the who, what, when, and where of every user action in QuickSight. +**Logging, monitoring, and auditing:** BI applications must provide adequate mechanisms to monitor and audit the usage of the application for security (to prevent unwanted access to data assets and other resources) and troubleshooting. QuickSight can be used with Amazon CloudWatch, AWS CloudTrail, and IAM to track record of actions taken by a user, user role, or an AWS service. This provides the who, what, when, and where of every user action in QuickSight. @@ -21 +21 @@ Modern BI applications must be able to discover hidden insights from your data, -Amazon QuickSight ML Insights provide features that make it easy to discover hidden trends and outliers, identify key business drivers, and perform powerful what-if analysis and forecasting with no technical or ML experience. +QuickSight ML Insights provide features that make it easy to discover hidden trends and outliers, identify key business drivers, and perform powerful what-if analysis and forecasting with no technical or ML experience. @@ -27 +27 @@ The common challenges of BI tools are how to make data more accessible to more p -Amazon QuickSight Q allows user to ask business questions in natural language and receive answers with relevant visualizations that help them gain insights from the data. QuickSight Q uses machine learning to interpret the intent of a question and analyze the correct data to provide accurate answers to business questions quickly +QuickSight Q allows user to ask business questions in natural language and receive answers with relevant visualizations that help them gain insights from the data. QuickSight Q uses machine learning to interpret the intent of a question and analyze the correct data to provide accurate answers to business questions quickly