3. Click **New Project**.
4. Name your project and select the parent folder.
5. Click **Create**.
4. Click on **+Create credentials > OAuth client ID**.
5. Select **OAuth client ID**.
6. Select the **Application Type** as **Web application** from the drop down.
7. Enter the name for your application.
8. Click on
****+Add URI**** under ****Authorized redirect URIs****.
9. Add
**[https://oauth.domo.com/api/data/v1/oauth/providers/google-bigquery-enterprise/exchange](https://oauth.domo.com/api/data/v1/oauth/providers/google-bigquery-enterprise/exchange)** as the redirect URI.
10. Click
****Create****.
#### Enabling API and Services
1. Login to [https://console.developers.google.com/](https://console.developers.google.com/).
2. Go to
****APIs & Services > Dashboard****.
3. Click
****+ENABLE APIS AND SERVICES****.
4. Search for
**Google BigQuey API**.
5. Click the
**ENABLE** button to enable the BigQuery API.
## Connecting to Your Google BigQuery Enterprise Account
This section enumerates the options in the **Credentials** and **Details** panes in the Google BigQuery Enterprise Data Connector page. The components of the other panes in this page, **Scheduling** and **Name & Describe Your DataSet**, are universal across most connector types and are discussed in greater length in [Adding a DataSet Using a Data Connector](/s/article/360042926274 "Adding a DataSet Using a Data Connector").
### Credentials Pane
This pane contains fields for entering credentials to connect to your Google BigQuery Enterprise account. The following table describes what is needed for each field:
Field | Description |
|---|---|
| Client ID | Enter the Client ID associated with your Google Developers account. For more details, see Prerequisites . |
| Client Secret | Enter the Client Secret associated with your Google Developers account. For more details, see Prerequisites . |
Menu | Description | ||||||
|---|---|---|---|---|---|---|---|
Report | Select the Google BigQuery Enterprise report you want to run. The following reports are available:
| ||||||
| What Query Type would you like to use? | Select whether you would like to use a Legacy SQL Query or a Standard SQL Query. By default, LegacySQL is selected. | ||||||
| Query | Enter a fully qualified Google BigQuery query. | ||||||
| Query Parameter | Enter the query parameter value. It is the initial value for query parameter. The last run date is optional by default. The value for last run date is '02/01/1700' if it is not provided. Example: `!{lastvalue:_id}!=1,!{lastrundate:start_date}!=02/01/1944` | ||||||
| Project ID | Enter the ID for the project you want to retrieve data for. | ||||||
| Expect Large Results | Specify whether you would like to get large results. Queries with large results will create a temporary table and delete it when the job is finished. A dataset ID is required to create the temporary table. | ||||||
| Dataset ID | Enter the ID for the dataset you want to retrieve data for. | ||||||
| Projects | Select project from available list of projects. | ||||||
| Datasets | Select dataset from available list of datasets. | ||||||
| Tables | Select table from available list of tables. | ||||||
| Location | Enter location. Visit Dataset Locations to find more information about Location. | ||||||
| Selected Fields | Select fields. | ||||||
| Max Results | Max Results is the number of results returned per page of data. By default, it returns 10,000 results per page. If your dataset throws an out of memory error, decrease Max Results. |