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DS-5295-pipelines-permissions-docs - documenting user permissions in … #257

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May 1, 2024
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DS-5295-pipelines-permissions-docs - documenting user permissions in … #257

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DS-5295-pipelines-permissions-docs - documenting user permissions in …
chtyler Apr 18, 2024
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DS-5295 - addressed peer review feedback
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DS-5295 addressed review feedback
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4 changes: 2 additions & 2 deletions modules/adding-users-to-specialized-data-science-user-groups.adoc
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Expand Up @@ -7,9 +7,9 @@ By default, all OpenShift users have access to {productname-long}.

Optionally, you can restrict user access to your {productname-short} instance by defining specialized user groups. You must grant users permission to access {productname-long} by adding user accounts to the {productname-long} user group, administrator group, or both. You can either use the default group name, or specify a group name that already exists in your identity provider.

The *user group* provides the user with access to developer functions in the {productname-long} dashboard, and associated services, such as Jupyter.
The *user group* provides the user with access to product components in the {productname-long} dashboard, such as data science pipelines, and associated services, such as Jupyter. By default, users in the *user group* have access to data science pipeline applications within data science projects that they created.

The *administrator group* provides the user with access to developer and administrator functions in the {productname-long} dashboard and associated services, such as Jupyter.
The *administrator group* provides the user with access to developer and administrator functions in the {productname-long} dashboard, such as data science pipelines, and associated services, such as Jupyter. Users in the *administrator group* can configure data science pipeline applications in the {productname-short} dashboard for any data science project.

If you restrict access by using specialized user groups, users that are not in the {productname-short} user group or administrator group cannot view the dashboard and use associated services, such as Jupyter. They are also unable to access the *Cluster settings* page.

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1 change: 0 additions & 1 deletion modules/defining-data-science-admin-and-user-groups.adoc
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Expand Up @@ -16,7 +16,6 @@ endif::[]

You can define additional administrator and user groups by using the {productname-short} dashboard.


.Prerequisites

ifdef::upstream[]
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5 changes: 3 additions & 2 deletions modules/overview-of-user-types-and-permissions.adoc
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Expand Up @@ -11,7 +11,7 @@ Table 1 describes the {productname-long} user types.
| User Type | Permissions

| Data scientists
| Data scientists can access and use individual components of {productname-long}, such as Jupyter.
| Data scientists can access and use individual components of {productname-long}, such as Jupyter and data science pipelines.
ifndef::upstream[]
See also link:{rhoaidocshome}{default-format-url}/installing_and_uninstalling_{url-productname-short}/accessing-the-dashboard_install[Accessing the {productname-short} dashboard].
endif::[]
Expand All @@ -21,7 +21,7 @@ a| In addition to the actions permitted to a data scientist, administrators can

* Configure {productname-long} settings.
* Access and manage notebook servers.

* Access and manage data science pipeline applications for any data science project.

ifdef::cloud-service[]
See also link:https://access.redhat.com/documentation/en-us/openshift_dedicated/{osd-latest-version}/html/cluster_administration/index[OpenShift Dedicated cluster administration] or link:https://access.redhat.com/documentation/en-us/red_hat_openshift_service_on_aws/{rosa-latest-version}/html/cluster_administration/index[Red Hat OpenShift Service on AWS (ROSA) cluster administration].
Expand Down Expand Up @@ -53,6 +53,7 @@ The user groups configured in OpenShift, `cluster-admins` and `dedicated-admins`
* Adding users to the {productname-short} user and administrator groups, if you are using specialized groups.
* Removing users from the {productname-short} user and administrator groups, if you are using specialized groups.
* Managing custom environment and storage configuration for users in OpenShift, such as Jupyter notebook resources, ConfigMaps, and persistent volume claims (PVCs).
* Managing data science pipeline servers and pipeline applications from the {productname-short} dashboard, or from the command-line interface (CLI), for any data science project.

//For RHODS-1954
[IMPORTANT]
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