BigQuery

Paradime BigQuery Connection: Integrate BigQuery with Paradime for dbt™ projects. Ensure efficient data querying and management.

Google BigQuery is a fully managed, serverless data warehouse that enables scalable analysis over petabytes of data. As a development environment in Paradime, BigQuery enables dbt™ development from Paradime's Code IDE.

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.

Suggested permissions:

The following permissions will enable users in Paradime to run dbt™ from Paradime in your BigQuery project:

• BigQuery Data Editor

• BigQuery User

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Initial Setup Instructions

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

2. Click "Connections" in the left sidebar

3. Click "Add New" next to Code IDE Environment

4. Select "BigQuery"

Next, choose your preferred authentification method to proceed:

1. Using BigQuery OAuth

2. Using BigQuery Service Account JSON

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Using BigQuery OAuth

Follow our BigQuery OAuth setup guide to configure OAuth authentication. Each user will need to approve the required scopes when connecting.

Fields Details

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

• 🏢 Workspace level fields are set by the the workspace Admin and not configurable for by user

• 👥 User level fields are set by each user (Admin/Developer) when setting the Development connection.

Field	Description	Example	Level
Profile Name	The profile name set in your dbt_project.yaml . See more here.	dbt-bigquery	🏢 Workspace level
Target	The target name used to identify the connection. See more here.	dev	🏢 Workspace level
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	🏢 Workspace level
Project ID	The unique identifier of your BigQuery project. See more here.	dbt-demo-project	🏢 Workspace level
Client ID	The Client ID generated when setting up the OAuth credentials.	xyz123.apps.googleusercontent.com	🏢 Workspace level
Client Secret	The Client Secret generated when setting up the OAuth credentials.	GOCSPX-hPfGJe7sd238772BLBA2Bi0ds	🏢 Workspace level
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	🏢 Workspace level
Dataset	The default dataset used to build dbt™️ objects at runtime.	dbt_john	👥 User level
Threads	The number of threads used in this connection. See more here.	8	👥 User level

Using BigQuery Service Account JSON

Uploading a service account JSON key file is the quickly and accurately way to configure a connection to BigQuery and authenticate each user's development credentials.

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

Field Details

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

• 🏢 Workspace level fields are set by the the workspace Admin and not configurable for by user

• 👥 User level fields are set by each user (Admin/Developer) when setting the Development connection.

Field	Description	Example	Level
Profile Name	The profile name set in your dbt_project.yaml . See more here.	dbt-bigquery	🏢 Workspace level
Target	The target name used to identify the connection. See more here.	dev	🏢 Workspace level
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	🏢 Workspace level
Service AccountService Account JSON	The service account JSON file created for this service user.	service_account_user.json	🏢 Workspace level
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	🏢 Workspace level
Dataset	The default dataset used to build dbt™️ objects at runtime.	dbt_john	👥 User level
Threads	The number of threads used in this connection. See more here.	8	👥 User level