1. Data integration
  2. Anaplan Data Integration
  3. CloudWorks
  4. Set your Google BigQuery permissions

Set your Google BigQuery Service Account, project, and data table permissions to be able to connect to your Anaplan model.
Note: BigQuery Authorized Views, and Anaplan's Dynamic Cell Access are not supported.

To create a table in BigQuery, see the Google documentation:

BigQueary service accopunt with dialog and BigQuery Editor displayed.


To set permissions in the BigQuery console:

  1. Select SQL workspaces.
  2. Select Service Account
  3. Copy the e-mail of the service account to use as your ID (the account you used to generate the service account key).
  4. Select SHARE DATASET from the ribbon menu, to the right of your project name.

From the DATASET PERMISSIONS dialog:

    • Select your Service Account again.
    • Select BigQuery Data Editor. The enables an export from BigQuery.
    • Select Done.

This enables access to edit all the contents of datasets in the Service Account. 

Dataset permission dropdown in the BigQuery console with Dataset Editor selected.


At the dataset level, also select BigQuery Data Editor.

Dataset permission dropdown in the BigQuery console with Dataset Editor selected.


This enables access to this dataset. 

  • For Step #3 above, you can also copy the Service account key from the .json file from your account setup. You need the email to add members and assign them roles. 
  • The role BigQuery Data Viewer does not enable export. 
  • Consider your company's data access roles as you make these assignments.
  • At the project level you need the permissions bigquery.jobuser and bigquery.user
  • Optionally, you may want to create an error message table.
    Run this script in your BigQuery dataset:

    CREATE TABLE `<your project>.<your dataset>.cloudworks_errors`
    (                                                             
     integration_id STRING,                                      
     run_id STRING,                                              
     run_date TIMESTAMP,                                         
     error_code INT64,                                           
     error_message STRING,                                       
     failed_row STRING                                           
    )                                                             
    OPTIONS(                                                      
     description=""                                              
    );                                                            


Service Account JSON example, with account email:

A Google Service Account .json example with an associated email.