On April 28, 2021, Google changed the required permissions for attaching IAM roles to service accounts. If you are using IAM roles for your Google service accounts, please see Changes to User Management.
Contents:
In the Trifacta platform, Identity and Access Management (IAM) allows you to control user and group access to your project's resources. This section describes the IAM permissions relevant to Dataprep by Trifacta and the IAM roles that grant those permissions. To access the IAM console, see https://cloud.google.com/iam.
- A role is a set of one or more permissions. A role is assigned to users and groups.
- A permission grants access to a resource. Different permissions can grant different access levels to the same resource.
For more information on the service accounts used by Dataflow to manage security and permissions while running Dataprep by Trifacta jobs, see https://cloud.google.com/dataflow/docs/concepts/security-and-permissions#security_and_permissions_for_pipelines_on_google_cloud_platform.
Tools for manage IAM policies:
Required Roles and Their Permissions
To use Dataprep by Trifacta, the following roles are required. Below, you can review each required role, its purpose, and the permissions that are enabled by it.
| Role | Use | Permissions and roles |
|---|---|---|
roles/dataprep.user | Enables a user to run Dataprep by Trifacta in a project See below. | Permissions:
|
roles/dataprep.serviceAgent | Enables the platform to access and modify datasets and storage and to run and manage Dataflow jobs on behalf of the user within the project NOTE: When the product is enabled within a project, this role is granted by the project owner as part of the enablement process. For more information, see Enable or Disable Dataprep. | Permissions:
Roles:
|
roles/dataprep.user IAM Role
All users of any version of
Dataprep by Trifacta must be assigned the roles/dataprep.user IAM Role.
This role and its related permissions enable access to all data in a project. Other permissions do not apply.
Permissions for Dataprep Premium by Trifacta
Dataprep Premium by Trifacta provides additional capabilities for project users. The base set of permissions and some additional permissions are required. Below, you can review the required permissions for this product edition.
General
- resourcemanager.projects.get
BigQuery
Read and write to BigQuery, including views and custom SQL:
- bigquery.datasets.get
- bigquery.jobs.create
- bigquery.tables.create
- bigquery.tables.get
- bigquery.tables.getData
- bigquery.tables.list
Dataflow
Run Trifacta jobs on Dataflow:
- compute.machineTypes.get
- dataflow.jobs.create
- dataflow.jobs.get
- dataflow.messages.list
- dataflow.metrics.get
Google Cloud Storage
Read and write to Google Cloud Storage, the base storage for Dataprep by Trifacta:
- storage.buckets.get
- storage.buckets.list
- storage.objects.create
- storage.objects.delete
- storage.objects.get
- storage.objects.list
- storage.objects.update
Feature Permissions
Additional permissions may be required to use specific features. Individual users may be required to permit Dataprep by Trifacta access when the feature is first used.
Dataflow job cancellation
The following permission enables users to cancel their jobs in progress. It is not required for the product to work but may be helpful to add via IAM roles.
- dataflow.jobs.cancel
BigQuery publishing options
The following permission is not required to publish to BigQuery.
- bigquery.tables.delete
However, if the above permission is not granted to a user, that user can drop or truncate table data in BigQuery, only if one of the following permissions must be enabled in a user's account.
- The user is granted
editororownerrole on the project. - The user is granted bigquery.tables.permission for the project.
Google Sheets access
- Dataprep Standard by Trifacta®
- Dataprep Premium by Trifacta
- drive.readonly
For more information, see Import Google Sheets Data.
Additional Permissions for Cloud IAM
In addition to the IAM roles above, users must also be granted the following to enable data access based on their Cloud IAM:
- dataset level permissions in BigQuery: See https://cloud.google.com/bigquery/docs/dataset-access-controls.
- Cloud Storage object ACLs: See https://cloud.google.com/storage/docs/access-control.
These permissions ensure that users can access the appropriate data within Dataprep by Trifacta®.
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