BigQuery

IP RESTRICTIONS

Make sure to allow traffic from one of the Paradime IPs in your firewall depending on the data location selected.

👉 See also: Paradime IP addresses.

We advise creating a new BigQuery Service Account and grant the suggested access required to create tables and views your Production BigQuery project.

Create a service account

To create a service account in BigQuery, follow the detailed steps in Google Cloud's Creating and managing service account keys.

Required permissions

This set of permissions will enable Paradime to read from and create tables and views when running production jobs in you BigQuery project.

BigQuery Data Editor
BigQuery User

Add Scheduler Connection

To add the BigQuery Production connection, follow these instructions:

1. Click Settings in the top menu bar of the Paradime interface to access Account Settings

2. In the left sidebar, click "Connections"

3. Click "Add New" next to the Bolt Schedules section

4. Select "Bigquery"

Fields Details

Below are list of fields and example to create a connection.

Field	Description	Example
Profile Name	The profile name set in your dbt_project.yaml . See more here.	dbt-bigquery
Target	The target name used to identify the connection. See more here.	prod
Dataset Location	The location of BigQuery datasets can be configured using the location configuration in a BigQuery profile. Location can be either a multi-regional location (e.g. EU, US), or a regional location (e.g. europe-west2 ). See more here.	US
Service AccountService Account JSON	The service account JSON file created for this service user.	service_account_user.json
Execution Project ID (Optional)	You can specify an Execution Project ID to bill for query execution, instead of the project where you materialize your resources. See more here.	(Optional) analytics-global-project
Dataset	The default dataset used to build dbt™️ objects at runtime.	dbt_prod
Threads	The number of threads used in this connection. See more here.	8