AWS sagemaker documentation change
Summary
Updated all references from 'Amazon QuickSight' to 'QuickSight' for branding consistency
Security assessment
Changes are purely branding/naming convention updates without modifying security controls, permissions, or vulnerability-related content. No security mechanisms or configurations were altered.
Diff
diff --git a/sagemaker/latest/dg/canvas-send-predictions.md b/sagemaker/latest/dg/canvas-send-predictions.md index 709286742..c35522799 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 Amazon QuickSight +Before you beginSupported data formatsSend your batch predictions to QuickSight @@ -7 +7 @@ Before you beginSupported data formatsSend your batch predictions to Amazon Quic -# Send predictions to Amazon QuickSight +# Send predictions to QuickSight @@ -11 +11 @@ Before you beginSupported data formatsSend your batch predictions to Amazon Quic -You can send batch predictions to Amazon 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 QuickSight 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 Amazon QuickSight for numeric and categorical -Once you generate batch predictions with custom tabular models in SageMaker Canvas, you can send those predictions as CSV files to Amazon 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 QuickSight, 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 Amazon QuickSight to show the percentage of customers that are expected to churn. To learn more about Amazon QuickSight, see the [Amazon 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 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). @@ -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 Amazon QuickSight for analysis. +The following sections show you how to send your batch predictions to QuickSight for analysis. @@ -21 +21 @@ The following sections show you how to send your batch predictions to Amazon Qui -Your user must have the necessary AWS Identity and Access Management (IAM) permissions to send your predictions to Amazon QuickSight. Your administrator can set up the IAM permissions for your user. For more information, see [Grant Your Users Permissions to Send Predictions to Amazon QuickSight](./canvas-quicksight-permissions.html). +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). @@ -23 +23 @@ Your user must have the necessary AWS Identity and Access Management (IAM) permi -Your Amazon QuickSight account must contain the `default` namespace, which is set up when you first create your Amazon QuickSight account. Contact your administrator to help you get access to Amazon QuickSight. For more information, see [Setting up for Amazon QuickSight](https://docs.aws.amazon.com/quicksight/latest/user/setting-up.html) in the _Amazon QuickSight User Guide_. +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_. @@ -25 +25 @@ Your Amazon QuickSight account must contain the `default` namespace, which is se -Your Amazon QuickSight account must be created in the same Region as your Canvas application. If your Amazon 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 Amazon 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 Amazon QuickSight account. You can check your Amazon QuickSight home Region by doing the following (assuming you already have an Amazon QuickSight account): +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): @@ -27 +27 @@ Your Amazon QuickSight account must be created in the same Region as your Canvas - 1. Open your [Amazon QuickSight console](https://quicksight.aws.amazon.com/). + 1. Open your [QuickSight console](https://quicksight.aws.amazon.com/). @@ -29 +29 @@ Your Amazon QuickSight account must be created in the same Region as your Canvas - 2. When the page loads, your Amazon 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 QuickSight home Region is appended to the URL in the following format: `https://`<your-home-region>`.quicksight.aws.amazon.com/`. @@ -34 +34 @@ Your Amazon QuickSight account must be created in the same Region as your Canvas -You must know the usernames of the Amazon 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 Amazon QuickSight account and have the `Author` or `Admin` role in Amazon QuickSight. +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. @@ -36 +36 @@ You must know the usernames of the Amazon QuickSight users to whom you want to s -Additionally, Amazon 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 Amazon QuickSight account's home Region and your Canvas application’s Region. To learn how to give Amazon 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 _Amazon QuickSight User Guide_. +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_. @@ -40 +40 @@ Additionally, Amazon QuickSight must have access to the SageMaker AI default Ama -Before sending your predictions, check that the data format of your batch predictions is compatible with Amazon QuickSight. +Before sending your predictions, check that the data format of your batch predictions is compatible with QuickSight. @@ -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 _Amazon 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 _QuickSight 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 Amazon QuickSight, see [Unsupported values in data](https://docs.aws.amazon.com/quicksight/latest/user/unsupported-data-values.html) in the _Amazon QuickSight User Guide_. + * 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_. @@ -49 +49 @@ Before sending your predictions, check that the data format of your batch predic -Also note that Amazon 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 Amazon QuickSight. +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. @@ -51 +51 @@ Also note that Amazon QuickSight uses the character `"` as a text qualifier, so -## Send your batch predictions to Amazon QuickSight +## Send your batch predictions to QuickSight @@ -53 +53 @@ Also note that Amazon QuickSight uses the character `"` as a text qualifier, so -Use the following procedure to send your predictions to Amazon QuickSight: +Use the following procedure to send your predictions to QuickSight: @@ -65 +65 @@ Use the following procedure to send your predictions to Amazon QuickSight: - 6. After you select your dataset, choose **Send to Amazon QuickSight**. + 6. After you select your dataset, choose **Send to QuickSight**. @@ -69 +69 @@ Use the following procedure to send your predictions to Amazon QuickSight: -The **Send to Amazon QuickSight** button doesn’t activate unless you select one or more datasets. +The **Send to QuickSight** button doesn’t activate unless you select one or more datasets. @@ -71 +71 @@ The **Send to Amazon QuickSight** button doesn’t activate unless you select on -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 Amazon QuickSight**. The following screenshot shows you the **Send to Amazon 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 QuickSight**. The following screenshot shows you the **Send to QuickSight** 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 Amazon QuickSight** dialog box, do the following: + 7. In the **Send to QuickSight** 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 Amazon 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 Amazon QuickSight account, and the user must have the `Author` or `Admin` role in Amazon QuickSight. + 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. @@ -81 +81 @@ Alternatively, you can preview your predictions by choosing the **More options** -The following screenshot shows the **Send to Amazon QuickSight** dialog box: +The following screenshot shows the **Send to QuickSight** dialog box: @@ -83 +83 @@ The following screenshot shows the **Send to Amazon QuickSight** dialog box: - + @@ -88 +88 @@ The following screenshot shows the **Send to Amazon 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 Amazon QuickSight** to open your Amazon 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 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. @@ -90 +90 @@ After you send your batch predictions, the **QuickSight** field for the datasets -The Amazon QuickSight users that you’ve sent datasets to can open their Amazon 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 Amazon QuickSight data analysis](https://docs.aws.amazon.com/quicksight/latest/user/getting-started.html) in the _Amazon QuickSight User Guide_. +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_. @@ -92 +92 @@ The Amazon QuickSight users that you’ve sent datasets to can open their Amazon -By default, all of the users to whom you send predictions have owner permissions for the dataset in Amazon 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 Amazon 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 _Amazon QuickSight User Guide_. +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_.