BigQuery
Last updated
Last updated
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.
To create a service account in BigQuery, follow the detailed steps in Google Cloud's Creating and managing service account keys.
This set of permissions will enable Paradime to read from and create tables and views when running production jobs in you BigQuery project.
To add the BigQuery Production connection, go to account settings > connections, select Scheduler Environment and enter the required fields.
Below are list of fields and example to create a connection.
Profile Name
dbt-bigquery
Target
prod
Dataset Location
The location of BigQuery datasets can be configured using the location configuration in a BigQuery profile.
US
Service AccountService Account JSON
The service account JSON file created for this service user.
service_account_user.json
Execution Project ID (Optional)
(Optional) analytics-global-project
Dataset
The default dataset used to build dbt™️ objects at runtime.
dbt_prod
Threads
8
The profile name set in your dbt_project.yaml
. See more .
The target name used to identify the connection. See more .
Location can be either a multi-regional location (e.g. EU
, US
), or a regional location (e.g. europe-west2
). See more .
You can specify an Execution Project ID to bill for query execution, instead of the project where you materialize your resources. See more .
The number of threads used in this connection. See more .