BigQuery Access
Learn how to access your DataHawk data on Google BigQuery.
DataHawk-Hosted BigQuery
As we complete your setup, you will be able to access your DataHawk-powered BigQuery database on Google Cloud, on Google Sheets, on Looker Studio, and more.
Self-Hosted BigQuery
Note
This guide assumes that you are already familiar with Google Cloud Platform (GCP) and actively using BigQuery. Therefore, we will not delve into the details of creating an Organization, Project, or Billing account.
If you are unfamiliar with GCP, we recommend using our DataHawk-hosted option on either BigQuery or Snowflake to get started.
First Step
Before proceeding, please ensure that you have been in contact with a DataHawk representative who has provided you with a dedicated service principal name in the form of
<company>@<projectid>.iam.gserviceaccount.com
Create your Google Cloud Project
Go to https://console.cloud.google.com/ and sign in with a Google Account.
Once logged, click on the project/organization selector and create a "New Project".
Create your project with the name of your choice.
We encourage a naming like
<company>-datahawk-bigquery
Note that the Project ID may differ from your project name
Authorize DataHawk to your Project
Select the project and navigate to IAM & Admin / IAM
From this page, grant the following access to the service principal provided by your DataHawk representative (should be in the form <company>@<projectid>.iam.gserviceaccount.com
):
- BigQuery Data Editor
- BigQuery User
The configuration is complete.
You should now communicate the following information to your DataHawk representative :
- Project ID
- Your Google preferred location (by default, we will pick
europe-west4
for you) - The email addresses to grant access to
Updated 5 months ago