Integrating Google Sheets and BigQuery for Advanced Data Visualization with Metabase

If you're looking to unlock advanced data visualization and analysis capabilities, integrating your Google Sheets with BigQuery through a service account is the perfect solution. This process enables seamless collaboration between these two powerful tools, allowing you to leverage their strengths and create a comprehensive data analysis platform.

To get started, ensure that you have a BigQuery dataset ready in the Google Cloud Console. Next, follow the steps to connect Metabase to BigQuery, which will enable advanced data visualization and analysis capabilities.

Once connected, create an external table in BigQuery that references your Google Sheet. This can be done by specifying the correct Drive URI within your dataset. If you don't already have a BigQuery dataset, you'll need to create one before proceeding.

Next, click on 'Create Key' in the BigQuery console and choose JSON as the key type. Download the resulting file and assign roles to it: BigQuery Data Viewer, BigQuery Metadata Viewer, and BigQuery Job User.

To create a service account, navigate to IAM & Admin > Service accounts in GCP and follow these steps:

1. Click on 'Create Service Account' and fill in the required details.

2. Assign the Viewer role to the service account and share it without notification.

3. In Google Sheets, click on 'Share' and enter the email address of the newly created service account.

Finally, locate the service account email from the Service Accounts page in GCP and you're ready to start integrating your Google Sheets with BigQuery through a service account.

By following these steps, you'll be able to unlock advanced data visualization and analysis capabilities using Metabase. This integration enables seamless collaboration between Google Sheets and BigQuery, allowing you to leverage their strengths and create a comprehensive data analysis platform.

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