On April 28, 2021, Google is changing 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 Cloud Dataprep by TRIFACTA INC. 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 Cloud Dataflow to manage security and permissions while running Cloud Dataprep by TRIFACTA INC. 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 Cloud Dataprep by TRIFACTA INC., 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 |
---|---|---|
dataprep.user | Enables a user to run Cloud Dataprep by TRIFACTA INC. in a project | Permissions:
|
dataprep.serviceAgent | Enables the platform to access and modify datasets and storage and to run and manage Cloud 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:
|
dataprep.user IAM Role
All users of any version of
Cloud Dataprep by TRIFACTA INC. must be assigned the dataprep.user
IAM Role.
Permissions for Cloud Dataprep Premium by TRIFACTA INC.
Cloud Dataprep Premium by TRIFACTA INC. 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
Cloud Dataflow
Run Trifacta jobs on Cloud 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 Cloud Dataprep by TRIFACTA INC.:
- 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 Cloud Dataprep by TRIFACTA INC. access when the feature is first used.
Cloud 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
editor
orowner
role on the project. - The user is granted bigquery.tables.permission for the project.
Google Sheets access
- Cloud Dataprep Standard by TRIFACTA® INC.
- Cloud Dataprep Premium by TRIFACTA INC.
- 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 Cloud Dataprep by TRIFACTA® INC..
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