- 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.
Tools for manage IAM policies:
- Google Cloud Console
- gcloud CLI
For more information, see https://cloud.google.com/iam/docs/granting-changing-revoking-access.
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|
Enables a user to run Dataprep by Trifacta in a project See below.
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. For more information on this role, see https://console.cloud.google.com/iam-admin/roles/details/roles%3Cdataprep.serviceAgent.
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.
roles/dataprep.projects.user IAM Role
All users of any version of Dataprep by Trifacta must be assigned the
roles/dataprep.projects.user IAM Role.
This role and its related permissions enable access to all data in a project. Other permissions do not apply.
Trifacta Application Permissions
The following base set of IAM permissions and some additional permissions are required for accessing the product. Below, you can review the required permissions for this product edition.
NOTE: These permissions provide basic access to the Trifacta application. Additional features within the product or available through external integrations are considered optional.
Allow a user to use Dataprep by Trifacta
Get Dataprep by Trifacta project details
Access to data stored in the Google Cloud Platform from the Trifacta application when previewing or displaying sampled data is determined based on whether fine-grained access controls and access control lists (ACLs) are enabled in the Google Cloud Platform:
|Fine-grained access controls||Permissions|
The appropriate service account for the individual or project is used.
NOTE: The service account in use to access Trifacta application must have the same IAM role permissions that are required to execute jobs.
For more information, see Google Service Account Management.
Each user's credentials for Google Cloud Platform are used for requesting data from the platform.
NOTE: The IAM role permissions of each user's account must have appropriate access to preview and sample data.
For more information on fine-grained access controls, please see https://cloud.google.com/storage/docs/access-control.
Run Trifacta jobs on Dataflow:
List available machine types for Dataflow jobs
Create a Dataflow job
List Dataflow jobs
Get Dataflow job details
Get Dataflow job details
These permissions are required for connections that are common in Dataprep by Trifacta.
Read and write to Cloud Storage, the base storage for Dataprep by Trifacta:
List Cloud Storage buckets in project
|Required at project level|
|storage.buckets.get||Get bucket metadata||Required for staging bucket only|
|storage.objects.create||Create files||Required for staging bucket only|
|storage.objects.delete||Delete files||Required for staging bucket only|
|storage.objects.get||Read files||Required for staging bucket only|
|storage.objects.list||List files||Required for staging bucket only|
Read and write to BigQuery, including views and custom SQL:
For Custom SQL query support and launching Dataflow jobs with BigQuery data sources.
|Required at project level to use BigQuery|
|bigquery.datasets.get||List and get metadata about datasets in project||Can be applied at project level or at individual dataset level|
Execute custom queries
|Can be applied at project level or at individual dataset level|
|bigquery.tables.get||Create tables in dataset||Can be applied at project level or at individual dataset level|
|bigquery.tables.get||Get table metadata||Can be applied at project level or at individual dataset level|
|bigquery.tables.getData||get table contents||Can be applied at project level or at individual dataset level|
|bigquery.tables.list||List tables in dataset||Can be applied at project level or at individual dataset level|
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
This permission is required to cancel jobs on Dataflow from within the Trifacta application. It is not required for the product to work but may be helpful to add via IAM roles.
NOTE: The ability to cancel a job from within the Trifacta application is temporarily disabled. When it is re-enabled, this permission will be required. You should leave this permission enabled, if possible.
NOTE: A user may be able cancel a job from the Trifacta application, even though the user is not permitted to cancel the job in the running environment. The service account associated with the user's Trifacta account may have the appropriate permissions, but the user's personal account does not. For more information, see Google Service Account Management.
BigQuery publishing options
The following permissions are required to publish to BigQuery:
Create datasets in BigQuery
NOTE: In some environments, users may not be permitted the
|bigquery.datasets.update||Update datasets in BigQuery|
The following permission is not required to publish to BigQuery.
If this permission is not granted to a user, that user requires one of the following permissions to drop or truncate table data in BigQuery:
NOTE: If a user does not have this permission when publishing to a table, the user receives a warning that the target dataset is read-only.
BigQuery job execution
To enable execution of jobs in BigQuery, the following permission must be enabled. Additional configuration may be required. For more information on this feature, see BigQuery Running Environment.
|bigquery.jobs.create||This permission enables execution of jobs within BigQuery. It is also used for custom SQL queries, which is enabled by default. In most projects, this permission is enabled by default.|
BigQuery job execution on Cloud Storage files
If you have enabled execution of jobs in BigQuery, you can extend that capability to execute jobs for data sources hosted in Cloud Storage. GCS execution in BigQuery requires that external tables be enabled in BigQuery. The following permissions are required to create and use external tables.
Tip: In most projects, these permissions are enabled by default.
- For more information on these permissions, see https://cloud.google.com/bigquery/external-data-cloud-storage#permissions.
- Additional configuration may be required. For more information on this feature, see BigQuery Running Environment.
Enabled in the default Dataprep by Trifacta role.
Enabled in the default Dataprep by Trifacta role.
|bigquery.jobs.create||Required for job execution in BigQuery. See previous section.|
Google Sheets access
For more information, see Import Google Sheets Data.
Additional Permissions for Cloud IAM
NOTE: Any change in a user's permissions in Google Cloud Platform must be reflected in the service account assigned to the user.
Run Dataflow jobs
Every Dataprep by Trifacta job requires the use of a service account through which the job is submitted to Dataflow for execution. Each project user must have access to a service account. For more information, see Google Service Account Management.
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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