AWS sagemaker documentation change
Summary
Updated all references from 'QuickSight' to 'Quick Suite' including product name, URLs, and documentation links
Security assessment
The changes appear to be a branding update from QuickSight to Quick Suite without modifying security controls, permissions, or vulnerability mitigations. All security-related content about IAM permissions and S3 access requirements remains unchanged except for the product name substitution.
Diff
diff --git a/sagemaker/latest/dg/canvas-send-predictions.md b/sagemaker/latest/dg/canvas-send-predictions.md index c35522799..fa14826ba 100644 --- a//sagemaker/latest/dg/canvas-send-predictions.md +++ b//sagemaker/latest/dg/canvas-send-predictions.md @@ -5 +5 @@ -Before you beginSupported data formatsSend your batch predictions to QuickSight +Before you beginSupported data formatsSend your batch predictions to Quick Suite @@ -7 +7 @@ Before you beginSupported data formatsSend your batch predictions to QuickSight -# Send predictions to QuickSight +# Send predictions to Quick Suite @@ -11 +11 @@ Before you beginSupported data formatsSend your batch predictions to QuickSight -You can send batch predictions to QuickSight for numeric and categorical prediction and time series forecasting models. Single-label image prediction and multi-category text prediction models are excluded. +You can send batch predictions to Quick Suite for numeric and categorical prediction and time series forecasting models. Single-label image prediction and multi-category text prediction models are excluded. @@ -13 +13 @@ You can send batch predictions to QuickSight for numeric and categorical predict -Once you generate batch predictions with custom tabular models in SageMaker Canvas, you can send those predictions as CSV files to QuickSight, which is a business intelligence (BI) service to build and publish predictive dashboards. +Once you generate batch predictions with custom tabular models in SageMaker Canvas, you can send those predictions as CSV files to Quick Suite, which is a business intelligence (BI) service to build and publish predictive dashboards. @@ -15 +15 @@ Once you generate batch predictions with custom tabular models in SageMaker Canv -For example, if you built a 2 category prediction model to determine whether a customer will churn, you can create a visual, predictive dashboard in QuickSight to show the percentage of customers that are expected to churn. To learn more about QuickSight, see the [QuickSight User Guide](https://docs.aws.amazon.com/quicksight/latest/user/welcome.html). +For example, if you built a 2 category prediction model to determine whether a customer will churn, you can create a visual, predictive dashboard in Quick Suite to show the percentage of customers that are expected to churn. To learn more about Quick Suite, see the [Quick Suite User Guide](https://docs.aws.amazon.com/quicksight/latest/user/welcome.html). @@ -17 +17 @@ For example, if you built a 2 category prediction model to determine whether a c -The following sections show you how to send your batch predictions to QuickSight for analysis. +The following sections show you how to send your batch predictions to Quick Suite for analysis. @@ -21 +21 @@ The following sections show you how to send your batch predictions to QuickSight -Your user must have the necessary AWS Identity and Access Management (IAM) permissions to send your predictions to QuickSight. Your administrator can set up the IAM permissions for your user. For more information, see [Grant Your Users Permissions to Send Predictions to QuickSight](./canvas-quicksight-permissions.html). +Your user must have the necessary AWS Identity and Access Management (IAM) permissions to send your predictions to Quick Suite. Your administrator can set up the IAM permissions for your user. For more information, see [Grant Your Users Permissions to Send Predictions to Quick Suite](./canvas-quicksight-permissions.html). @@ -23 +23 @@ Your user must have the necessary AWS Identity and Access Management (IAM) permi -Your QuickSight account must contain the `default` namespace, which is set up when you first create your QuickSight account. Contact your administrator to help you get access to QuickSight. For more information, see [Setting up for QuickSight](https://docs.aws.amazon.com/quicksight/latest/user/setting-up.html) in the _QuickSight User Guide_. +Your Quick Suite account must contain the `default` namespace, which is set up when you first create your Quick Suite account. Contact your administrator to help you get access to Quick Suite. For more information, see [Setting up for Quick Suite](https://docs.aws.amazon.com/quicksight/latest/user/setting-up.html) in the _Quick Suite User Guide_. @@ -25 +25 @@ Your QuickSight account must contain the `default` namespace, which is set up wh -Your QuickSight account must be created in the same Region as your Canvas application. If your QuickSight account’s home Region differs from your Canvas application’s Region, you must either [close](https://docs.aws.amazon.com/quicksight/latest/user/closing-account.html) and recreate your QuickSight account, or [set up a Canvas application](https://docs.aws.amazon.com/sagemaker/latest/dg/canvas-getting-started.html#canvas-prerequisites) in the same Region as your QuickSight account. You can check your QuickSight home Region by doing the following (assuming you already have an QuickSight account): +Your Quick Suite account must be created in the same Region as your Canvas application. If your Quick Suite account’s home Region differs from your Canvas application’s Region, you must either [close](https://docs.aws.amazon.com/quicksight/latest/user/closing-account.html) and recreate your Quick Suite account, or [set up a Canvas application](https://docs.aws.amazon.com/sagemaker/latest/dg/canvas-getting-started.html#canvas-prerequisites) in the same Region as your Quick Suite account. You can check your Quick Suite home Region by doing the following (assuming you already have an Quick Suite account): @@ -27 +27 @@ Your QuickSight account must be created in the same Region as your Canvas applic - 1. Open your [QuickSight console](https://quicksight.aws.amazon.com/). + 1. Open your [Quick Suite console](https://quicksight.aws.amazon.com/). @@ -29 +29 @@ Your QuickSight account must be created in the same Region as your Canvas applic - 2. When the page loads, your QuickSight home Region is appended to the URL in the following format: `https://`<your-home-region>`.quicksight.aws.amazon.com/`. + 2. When the page loads, your Quick Suite home Region is appended to the URL in the following format: `https://`<your-home-region>`.quicksight.aws.amazon.com/`. @@ -34 +34 @@ Your QuickSight account must be created in the same Region as your Canvas applic -You must know the usernames of the QuickSight users to whom you want to send your predictions. You can send predictions to yourself or other users who have the right permissions. Any users to whom you send predictions must be in the `default` [namespace](https://docs.aws.amazon.com/quicksight/latest/user/namespaces.html) of your QuickSight account and have the `Author` or `Admin` role in QuickSight. +You must know the usernames of the Quick Suite users to whom you want to send your predictions. You can send predictions to yourself or other users who have the right permissions. Any users to whom you send predictions must be in the `default` [namespace](https://docs.aws.amazon.com/quicksight/latest/user/namespaces.html) of your Quick Suite account and have the `Author` or `Admin` role in Quick Suite. @@ -36 +36 @@ You must know the usernames of the QuickSight users to whom you want to send you -Additionally, QuickSight must have access to the SageMaker AI default Amazon S3 bucket for your domain, which is named with the following format: `sagemaker-`{REGION}`-`{ACCOUNT_ID}``. The Region should be the same as your QuickSight account's home Region and your Canvas application’s Region. To learn how to give QuickSight access to the batch predictions stored in your Amazon S3 bucket, see the topic [I can’t connect to Amazon S3](https://docs.aws.amazon.com/quicksight/latest/user/troubleshoot-connect-S3.html) in the _QuickSight User Guide_. +Additionally, Quick Suite must have access to the SageMaker AI default Amazon S3 bucket for your domain, which is named with the following format: `sagemaker-`{REGION}`-`{ACCOUNT_ID}``. The Region should be the same as your Quick Suite account's home Region and your Canvas application’s Region. To learn how to give Quick Suite access to the batch predictions stored in your Amazon S3 bucket, see the topic [I can’t connect to Amazon S3](https://docs.aws.amazon.com/quicksight/latest/user/troubleshoot-connect-S3.html) in the _Quick Suite User Guide_. @@ -40 +40 @@ Additionally, QuickSight must have access to the SageMaker AI default Amazon S3 -Before sending your predictions, check that the data format of your batch predictions is compatible with QuickSight. +Before sending your predictions, check that the data format of your batch predictions is compatible with Quick Suite. @@ -42 +42 @@ Before sending your predictions, check that the data format of your batch predic - * To learn more about the accepted data formats for timeseries data, see [Supported date formats](https://docs.aws.amazon.com/quicksight/latest/user/supported-date-formats.html) in the _QuickSight User Guide_. + * To learn more about the accepted data formats for timeseries data, see [Supported date formats](https://docs.aws.amazon.com/quicksight/latest/user/supported-date-formats.html) in the _Quick Suite User Guide_. @@ -44 +44 @@ Before sending your predictions, check that the data format of your batch predic - * To learn more about data values that might prevent you from sending to QuickSight, see [Unsupported values in data](https://docs.aws.amazon.com/quicksight/latest/user/unsupported-data-values.html) in the _QuickSight User Guide_. + * To learn more about data values that might prevent you from sending to Quick Suite, see [Unsupported values in data](https://docs.aws.amazon.com/quicksight/latest/user/unsupported-data-values.html) in the _Quick Suite User Guide_. @@ -49 +49 @@ Before sending your predictions, check that the data format of your batch predic -Also note that QuickSight uses the character `"` as a text qualifier, so if your Canvas data contains any `"` characters, make sure that you close all matching quotes. Any mismatching quotes can cause issues with sending your dataset to QuickSight. +Also note that Quick Suite uses the character `"` as a text qualifier, so if your Canvas data contains any `"` characters, make sure that you close all matching quotes. Any mismatching quotes can cause issues with sending your dataset to Quick Suite. @@ -51 +51 @@ Also note that QuickSight uses the character `"` as a text qualifier, so if your -## Send your batch predictions to QuickSight +## Send your batch predictions to Quick Suite @@ -53 +53 @@ Also note that QuickSight uses the character `"` as a text qualifier, so if your -Use the following procedure to send your predictions to QuickSight: +Use the following procedure to send your predictions to Quick Suite: @@ -65 +65 @@ Use the following procedure to send your predictions to QuickSight: - 6. After you select your dataset, choose **Send to QuickSight**. + 6. After you select your dataset, choose **Send to Quick Suite**. @@ -69 +69 @@ Use the following procedure to send your predictions to QuickSight: -The **Send to QuickSight** button doesn’t activate unless you select one or more datasets. +The **Send to Quick Suite** button doesn’t activate unless you select one or more datasets. @@ -71 +71 @@ The **Send to QuickSight** button doesn’t activate unless you select one or mo -Alternatively, you can preview your predictions by choosing the **More options** icon (  ) and then **View prediction results**. From the dataset preview, you can choose **Send to QuickSight**. The following screenshot shows you the **Send to QuickSight** button in a dataset preview. +Alternatively, you can preview your predictions by choosing the **More options** icon (  ) and then **View prediction results**. From the dataset preview, you can choose **Send to Quick Suite**. The following screenshot shows you the **Send to Quick Suite** button in a dataset preview. @@ -73 +73 @@ Alternatively, you can preview your predictions by choosing the **More options** - + @@ -75 +75 @@ Alternatively, you can preview your predictions by choosing the **More options** - 7. In the **Send to QuickSight** dialog box, do the following: + 7. In the **Send to Quick Suite** dialog box, do the following: @@ -77 +77 @@ Alternatively, you can preview your predictions by choosing the **More options** - 1. For **QuickSight users** , enter the name of the QuickSight users to whom you want to send your predictions. If you want to send them to yourself, enter your own username. You can only send predictions to users in the `default` namespace of the QuickSight account, and the user must have the `Author` or `Admin` role in QuickSight. + 1. For **QuickSight users** , enter the name of the Quick Suite users to whom you want to send your predictions. If you want to send them to yourself, enter your own username. You can only send predictions to users in the `default` namespace of the Quick Suite account, and the user must have the `Author` or `Admin` role in Quick Suite. @@ -81 +81 @@ Alternatively, you can preview your predictions by choosing the **More options** -The following screenshot shows the **Send to QuickSight** dialog box: +The following screenshot shows the **Send to Quick Suite** dialog box: @@ -83 +83 @@ The following screenshot shows the **Send to QuickSight** dialog box: - + @@ -88 +88 @@ The following screenshot shows the **Send to QuickSight** dialog box: -After you send your batch predictions, the **QuickSight** field for the datasets you sent shows as `Sent`. In the confirmation box that confirms your predictions were sent, you can choose **Open QuickSight** to open your QuickSight application. If you’re done using Canvas, you should [log out](https://docs.aws.amazon.com/sagemaker/latest/dg/canvas-log-out.html) of the Canvas application. +After you send your batch predictions, the **QuickSight** field for the datasets you sent shows as `Sent`. In the confirmation box that confirms your predictions were sent, you can choose **Open Quick Suite** to open your Quick Suite application. If you’re done using Canvas, you should [log out](https://docs.aws.amazon.com/sagemaker/latest/dg/canvas-log-out.html) of the Canvas application. @@ -90 +90 @@ After you send your batch predictions, the **QuickSight** field for the datasets -The QuickSight users that you’ve sent datasets to can open their QuickSight application and view the Canvas datasets that have been shared with them. Then, they can create predictive dashboards with the data. For more information, see [Getting started with QuickSight data analysis](https://docs.aws.amazon.com/quicksight/latest/user/getting-started.html) in the _QuickSight User Guide_. +The Quick Suite users that you’ve sent datasets to can open their Quick Suite application and view the Canvas datasets that have been shared with them. Then, they can create predictive dashboards with the data. For more information, see [Getting started with Quick Suite data analysis](https://docs.aws.amazon.com/quicksight/latest/user/getting-started.html) in the _Quick Suite User Guide_. @@ -92 +92 @@ The QuickSight users that you’ve sent datasets to can open their QuickSight ap -By default, all of the users to whom you send predictions have owner permissions for the dataset in QuickSight. Owners are able to create analyses, refresh, edit, delete, and re-share datasets. The changes that owners make to a dataset change the dataset for all users with access. To change the permissions, go to the dataset in QuickSight and manage its permissions. For more information, see [Viewing and editing the permissions users that a dataset is shared with](https://docs.aws.amazon.com/quicksight/latest/user/sharing-data-sets.html#view-users-data-set) in the _QuickSight User Guide_. +By default, all of the users to whom you send predictions have owner permissions for the dataset in Quick Suite. Owners are able to create analyses, refresh, edit, delete, and re-share datasets. The changes that owners make to a dataset change the dataset for all users with access. To change the permissions, go to the dataset in Quick Suite and manage its permissions. For more information, see [Viewing and editing the permissions users that a dataset is shared with](https://docs.aws.amazon.com/quicksight/latest/user/sharing-data-sets.html#view-users-data-set) in the _Quick Suite User Guide_.