AWS whitepapers documentation change
Summary
Updated all references from 'Quick Suite' to 'Quick' throughout the document
Security assessment
Purely cosmetic branding change (Quick Suite → Quick) across multiple sections. No security implications as functionality, access controls, or security features remain unchanged.
Diff
diff --git a/whitepapers/latest/aws-overview/analytics.md b/whitepapers/latest/aws-overview/analytics.md index 18721ae7d..36267e599 100644 --- a//whitepapers/latest/aws-overview/analytics.md +++ b//whitepapers/latest/aws-overview/analytics.md @@ -5 +5 @@ -Amazon AthenaAmazon CloudSearchAmazon DataZoneAmazon EMRAmazon FinSpaceAmazon KinesisAmazon Data FirehoseAmazon Managed Service for Apache FlinkAmazon Kinesis Data StreamsAmazon Kinesis Video StreamsAmazon OpenSearch ServiceAmazon OpenSearch ServerlessAmazon RedshiftAmazon Redshift ServerlessQuick SuiteAWS Clean RoomsAWS Data ExchangeAWS Data PipelineAWS Entity ResolutionAWS GlueAWS Lake FormationAmazon Managed Streaming for Apache Kafka (Amazon MSK) +Amazon AthenaAmazon CloudSearchAmazon DataZoneAmazon EMRAmazon FinSpaceAmazon KinesisAmazon Data FirehoseAmazon Managed Service for Apache FlinkAmazon Kinesis Data StreamsAmazon Kinesis Video StreamsAmazon OpenSearch ServiceAmazon OpenSearch ServerlessAmazon RedshiftAmazon Redshift ServerlessQuickAWS Clean RoomsAWS Data ExchangeAWS Data PipelineAWS Entity ResolutionAWS GlueAWS Lake FormationAmazon Managed Streaming for Apache Kafka (Amazon MSK) @@ -45 +45 @@ Each service is described after the diagram. To help you decide which service be - * Quick Suite + * Quick @@ -80 +80 @@ Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to -[Amazon DataZone](https://aws.amazon.com/datazone/) is a data management service that you can use to publish data and make it available to the business data catalog through your personalized web application. You can access your data more securely regardless of where it is stored—on AWS, on premises, or in SaaS applications such as Salesforce. Amazon DataZone simplifies your experience across AWS services such as Amazon Redshift, Amazon Athena, AWS Glue, AWS Lake Formation, and Quick Suite. +[Amazon DataZone](https://aws.amazon.com/datazone/) is a data management service that you can use to publish data and make it available to the business data catalog through your personalized web application. You can access your data more securely regardless of where it is stored—on AWS, on premises, or in SaaS applications such as Salesforce. Amazon DataZone simplifies your experience across AWS services such as Amazon Redshift, Amazon Athena, AWS Glue, AWS Lake Formation, and Quick. @@ -138 +138 @@ The [vector engine for Amazon OpenSearch Serverless](https://aws.amazon.com/open -## Quick Suite +## Quick @@ -140 +140 @@ The [vector engine for Amazon OpenSearch Serverless](https://aws.amazon.com/open -[Quick Suite](https://aws.amazon.com/quicksight/) is a fast, cloud-powered business intelligence (BI) service that makes it easy for you to deliver insights to everyone in your organization. QuickSight lets you create and publish interactive dashboards that can be accessed from browsers or mobile devices. You can embed dashboards into your applications, providing your customers with powerful self-service analytics. Quick Suite easily scales to tens of thousands of users without any software to install, servers to deploy, or infrastructure to manage. +[Quick](https://aws.amazon.com/quicksight/) is a fast, cloud-powered business intelligence (BI) service that makes it easy for you to deliver insights to everyone in your organization. QuickSight lets you create and publish interactive dashboards that can be accessed from browsers or mobile devices. You can embed dashboards into your applications, providing your customers with powerful self-service analytics. Quick easily scales to tens of thousands of users without any software to install, servers to deploy, or infrastructure to manage. @@ -178 +178 @@ However, setting up and managing data lakes today involves a lot of manual, comp -Creating a data lake with Lake Formation is as simple as defining where your data resides and what data access and security policies you want to apply. Lake Formation then collects and catalogs data from databases and object storage, moves the data into your new Amazon S3 data lake, cleans and classifies data using ML algorithms, and secures access to your sensitive data. Your users can then access a centralized catalog of data which describes available data sets and their appropriate usage. Your users then leverage these data sets with their choice of analytics and ML services, such as Amazon EMR for Apache Spark, Amazon Redshift, Amazon Athena, SageMaker AI, and Quick Suite. +Creating a data lake with Lake Formation is as simple as defining where your data resides and what data access and security policies you want to apply. Lake Formation then collects and catalogs data from databases and object storage, moves the data into your new Amazon S3 data lake, cleans and classifies data using ML algorithms, and secures access to your sensitive data. Your users can then access a centralized catalog of data which describes available data sets and their appropriate usage. Your users then leverage these data sets with their choice of analytics and ML services, such as Amazon EMR for Apache Spark, Amazon Redshift, Amazon Athena, SageMaker AI, and Quick.