LogoLogo
SaaSBook a demo
  • Immuta Documentation - SaaS
  • Configuration
    • Connect Data Platforms
      • Data Platforms Overview
      • Amazon S3 Integration
      • AWS Lake Formation
        • Getting Started with AWS Lake Formation
        • Register an AWS Lake Formation Connection
        • Reference Guides
          • AWS Lake Formation
          • Security and Compliance
          • Protecting Data
          • Accessing Data
      • Azure Synapse Analytics
        • Getting Started with Azure Synapse Analytics
        • Configure Azure Synapse Analytics Integration
        • Reference Guides
          • Azure Synapse Analytics Overview
          • Azure Synapse Analytics Pre-Configuration Details
      • Databricks
        • Databricks Spark
          • Getting Started with Databricks Spark
          • How-to Guides
            • Configure a Databricks Spark Integration
            • Manually Update Your Databricks Cluster
            • Install a Trusted Library
            • Project UDFs Cache Settings
            • Run R and Scala spark-submit Jobs on Databricks
            • DBFS Access
            • Troubleshooting
          • Reference Guides
            • Databricks Spark Integration Configuration
              • Installation and Compliance
              • Customizing the Integration
              • Setting Up Users
              • Spark Environment Variables
              • Ephemeral Overrides
            • Security and Compliance
            • Registering and Protecting Data
            • Accessing Data
              • Delta Lake API
        • Databricks Unity Catalog
          • Getting Started with Databricks Unity Catalog
          • How-to Guides
            • Register a Databricks Unity Catalog Connection
            • Configure a Databricks Unity Catalog Integration
            • Migrating to Unity Catalog
          • Databricks Unity Catalog Integration Reference Guide
      • Google BigQuery Integration
      • Redshift
        • Getting Started with Redshift
        • How-to Guides
          • Configure Redshift Integration
          • Configure Redshift Spectrum
        • Reference Guides
          • Redshift Overview
          • Redshift Pre-Configuration Details
      • Snowflake
        • Getting Started with Snowflake
        • How-to Guides
          • Register a Snowflake Connection
          • Configure a Snowflake Integration
          • Edit or Remove Your Snowflake Integration
          • Integration Settings
            • Snowflake Table Grants Private Preview Migration
            • Enable Snowflake Table Grants
            • Using Snowflake Data Sharing with Immuta
            • Enable Snowflake Low Row Access Policy Mode
              • Upgrade Snowflake Low Row Access Policy Mode
            • Configure Snowflake Lineage Tag Propagation
        • Reference Guides
          • Snowflake Integration
          • Snowflake Table Grants
          • Snowflake Data Sharing with Immuta
          • Snowflake Low Row Access Policy Mode
          • Snowflake Lineage Tag Propagation
          • Warehouse Sizing Recommendations
        • Explanatory Guides
          • Phased Snowflake Onboarding
      • Starburst (Trino)
        • Getting Started with Starburst (Trino)
        • How-to Guides
          • Configure Starburst (Trino) Integration
          • Customize Read and Write Access Policies for Starburst (Trino)
        • Starburst (Trino) Integration Reference Guide
      • Queries Immuta Runs in Your Data Platform
      • Connect Your Data
        • Registering a Connection
          • How-to Guides
            • Run Object Sync
            • Manage Connection Settings
            • Use the Connection Upgrade Manager
              • Troubleshooting
          • Reference Guides
            • Connections
            • Upgrading to Connections
              • Before You Begin
              • API Changes
              • FAQ
        • Registering Metadata
          • Data Sources in Immuta
          • Register Data Sources
            • Amazon S3 Data Source
            • Azure Synapse Analytics Data Source
            • Databricks Data Source
            • Google BigQuery Data Source
            • Redshift Data Source
            • Snowflake Data Source
              • Bulk Create Snowflake Data Sources
            • Create a Starburst (Trino) Data Source
          • Data Source Settings
            • How-to Guides
              • Manage Data Source Settings
              • Manage Data Source Members
              • Manage Access Requests and Tasks
              • Manage Data Dictionary Descriptions
              • Disable Immuta from Sampling Raw Data
            • Data Source Health Checks Reference Guide
          • Schema Monitoring
            • How-to Guides
              • Manage Schema Monitoring
              • Run Schema Monitoring and Column Detection Jobs
            • Reference Guides
              • Schema Monitoring
              • Schema Projects
            • Why Use Schema Monitoring Concept Guide
    • Manage Data Metadata
      • Connect External Catalogs
        • Configure an External Catalog
        • Reference Guides
          • External Catalog Introduction
          • Custom REST Catalog Interface Introduction
          • Custom REST Catalog Interface Endpoints
      • Data Identification
        • Introduction
        • How-to Guides
          • Use Identification
          • Manage Identifiers
          • Run and Manage Identification
          • Manage Identification Frameworks
          • Use Sensitive Data Discovery (SDD)
        • Reference Guides
          • How Competitive Pattern Analysis Works
          • Built-in Identifier Reference
            • Built-in Identifier Changelog
          • Built-in Discovered Tags Reference
      • Data Classification
        • How-to Guides
          • Activate Classification Frameworks
          • Adjust Identification and Classification Framework Tags
          • How to Use a Classification Framework with Your Own Tags
        • Reference Guide
          • Classification Frameworks
      • Manage Tags
        • How-to Guides
          • Create and Manage Tags
          • Add Tags to Data Sources and Projects
        • Tags Reference Guide
    • Manage Users
      • Getting Started with Users
      • Identity Managers (IAMs)
        • How-to Guides
          • Okta LDAP Interface
          • OpenID Connect
            • OpenID Connect Protocol
            • Okta and OpenID Connect
            • OneLogin with OpenID Connect
          • SAML
            • SAML Protocol
            • Microsoft Entra ID
            • Okta SAML SCIM
        • Reference Guides
          • Identity Managers
          • SAML Protocol Configuration Options
          • SAML Single Logout
      • Immuta Users
        • How-to Guides
          • Managing Personas and Permissions
          • User Impersonation
          • Manage Attributes and Groups
          • External User ID Mapping
          • External User Info Endpoint
        • Reference Guides
          • Permissions and Personas
          • Attributes and Groups in Immuta
    • Organize Data into Domains
      • Getting Started with Domains
      • Domains Reference Guide
    • Application Settings
      • How-to Guides
        • App Settings
        • Private Networking Support
          • Data Connection Private Networking
            • AWS PrivateLink for Redshift
            • AWS PrivateLink for API Gateway
            • Databricks Private Connectivity
              • AWS PrivateLink for Databricks
              • Azure Private Link for Databricks
            • Snowflake Private Connectivity
              • AWS PrivateLink for Snowflake
              • Azure Private Link for Snowflake
            • Starburst (Trino) Private Connectivity
              • AWS PrivateLink for Starburst (Trino)
              • Azure Private Link for Starburst (Trino)
          • Immuta SaaS Private Networking
            • Immuta SaaS Private Networking Over AWS PrivateLink
        • BI Tools
          • BI Tool Configuration Recommendations
          • Power BI Configuration Example
          • Tableau Configuration Example
        • IP Filtering
        • System Status Bundle
      • Reference Guides
        • Deployment Options
        • Data Processing
        • Encryption and Masking Practices
  • Marketplace
    • Introduction
      • User Types
      • Walkthrough
    • Share Data Products
      • How-to Guides
        • Manage Data Products
        • Customize the Marketplace Branding
      • Reference Guides
        • Marketplace App Requirements
        • Data Products
        • Marketplace Permissions Matrix
        • Setting Up Domains for Marketplace
    • Review Access Requests
      • How-to Guides
        • View and Respond to Access Requests
        • Manage Request Forms
      • Reference Guides
        • Understanding Access Provisioning and Underlying Policies in Immuta
          • S3 Provisioning Best Practices
        • Integrating with Existing Catalogs
    • Access Data Products
      • How-to Guides
        • Logging into Marketplace
        • Requesting Access to a Data Product
      • Reference Guide
        • Data Source Access Status
    • Short-Term Limitations
  • Governance
    • Introduction
      • Automate Data Access Control Decisions
        • The Two Paths
        • Managing User Metadata
        • Managing Data Metadata
        • Author Policy
        • Test and Deploy Policy
      • Compliantly Open More Sensitive Data for ML and Analytics
        • Managing User Metadata
        • Managing Data Metadata
        • Author Policy
    • Author Policies for Data Access Control
      • Introduction
        • Scalability and Evolvability
        • Understandability
        • Distributed Stewardship
        • Consistency
        • Availability of Data
      • Policies
        • Authoring Policies at Scale
        • Data Engineering with Limited Policy Downtime
        • Subscription Policies
          • Overview
          • How-to Guides
            • Author a Subscription Policy
            • Author an ABAC Subscription Policy
            • Subscription Policies Advanced DSL Guide
            • Author a Restricted Subscription Policy
            • Clone, Activate, or Stage a Global Policy
          • Reference Guides
            • Subscription Policy Access Types
            • Advanced Use of Special Functions
        • Data Policies
          • Overview
          • How-to Guides
            • Author a Masking Data Policy
            • Author a Minimization Policy
            • Author a Purpose-Based Restriction Policy
            • Author a Restricted Data Policy
            • Author a Row-Level Policy
            • Author a Time-Based Restriction Policy
            • Policy Certifications and Diffs
          • Reference Guides
            • Data Policy Types
            • Masking Policies
            • Row-Level Policies
            • Custom WHERE Clause Functions
            • Data Policy Conflicts and Fallback
            • Custom Data Policy Certifications
            • Orchestrated Masking Policies
      • Projects and Purpose-Based Access Control
        • Projects and Purpose Controls
          • Getting Started
          • How-to Guides
            • Create a Project
            • Create and Manage Purposes
            • Project Management
              • Manage Projects and Project Settings
              • Manage Project Data Sources
              • Manage Project Members
          • Reference Guides
            • Projects and Purposes
          • Concept Guide
            • Why Use Purposes?
        • Equalized Access
          • Manage Project Equalization How-to Guide
          • Equalized Access Reference Guide
          • Why Use Project Equalization?
        • Masked Joins
          • Enable Masked Joins How-to Guide
          • Why Use Masked Joins?
        • Writing to Projects
          • How-to Guides
            • Create and Manage Snowflake Project Workspaces
            • Create and Manage Databricks Spark Project Workspaces
            • Write Data to the Workspace
          • Reference Guides
            • Writing to Projects
            • Project UDFs (Databricks)
      • Data Consumers
        • Subscribe to a Data Source
        • Query Data
          • Querying Snowflake Data
          • Querying Databricks Data
          • Querying Starburst (Trino) Data
          • Querying Databricks SQL Data
          • Querying Redshift Data
          • Querying Azure Synapse Analytics Data
        • Subscribe to Projects
    • Observe Access and Activity
      • Introduction
      • Audit
        • How-to Guides
          • Export Audit Logs to S3
          • Export Audit Logs to ADLS
          • Use Immuta Audit
          • Run Governance Reports
        • Reference Guides
          • Universal Audit Model (UAM)
            • UAM Schema Reference Guide
          • Query Audit Logs
            • Snowflake Query Audit Logs
            • Databricks Unity Catalog Query Audit Logs
            • Databricks Spark Query Audit Logs
            • Starburst (Trino) Query Audit Logs
          • Audit Export GraphQL Reference Guide
          • Unknown Users in Audit Logs
          • Governance Report Types
      • Dashboards
        • Use the Audit Dashboards How-To Guide
        • Audit Dashboards Reference Guide
      • Monitors
        • Manage Monitors and Observations
        • Monitors Reference Guide
  • Releases
    • Deployment Notes
      • 2024
      • 2023
      • 2022
    • Scheduled Maintenance Windows
    • Immuta Support Matrix Overview
    • Immuta CLI Release Notes
    • Preview Features
      • Features in Preview
    • Deprecations
  • Developer Guides
    • The Immuta CLI
      • Install and Configure the Immuta CLI
      • Manage Your Immuta Tenant
      • Manage Data Sources
      • Manage Sensitive Data Discovery
        • Manage Sensitive Data Discovery Rules
        • Manage Identification Frameworks
        • Run Sensitive Data Discovery on Data Sources
      • Manage Policies
      • Manage Projects
      • Manage Purposes
      • Manage Audit Export
    • The Immuta API
      • Authentication
      • Integrations API
        • Getting Started
        • How-to Guides
          • Configure an Amazon S3 Integration
          • Configure an Azure Synapse Analytics Integration
          • Configure a Databricks Unity Catalog Integration
          • Configure a Google BigQuery Integration
          • Configure a Redshift Integration
          • Configure a Snowflake Integration
          • Configure a Starburst (Trino) Integration
        • Reference Guides
          • Integrations API Endpoints
          • Integration Configuration Payload
          • Response Schema
          • HTTP Status Codes and Error Messages
      • Connections API
        • How-to Guides
          • Register a Connection
            • Register a Snowflake Connection
            • Register a Databricks Unity Catalog Connection
            • Register an AWS Lake Formation Connection
          • Manage a Connection
          • Deregister a Connection
        • Connection Registration Payloads Reference Guide
      • Marketplace API
        • Marketplace API Endpoints
        • Source Controlling Data Products
      • Immuta V2 API
        • Data Source Payload Attribute Details
          • Data Source Request Payload Examples
        • Create Policies API Examples
        • Create Projects API Examples
        • Create Purposes API Examples
      • Immuta V1 API
        • Configure Your Instance of Immuta
          • Get Job Status
          • Manage Frameworks
          • Manage IAMs
          • Manage Licenses
          • Manage Notifications
          • Manage Identification
            • API Changes - Identification Frameworks to Identifiers in Domains
            • Manage Sensitive Data Discovery (SDD)
          • Manage Tags
          • Manage Webhooks
          • Search Filters
        • Connect Your Data
          • Create and Manage an Amazon S3 Data Source
          • Create an Azure Synapse Analytics Data Source
          • Create a Databricks Data Source
          • Create a Redshift Data Source
          • Create a Snowflake Data Source
          • Create a Starburst (Trino) Data Source
          • Manage the Data Dictionary
        • Use Domains
        • Manage Data Access
          • Manage Access Requests
          • Manage Data and Subscription Policies
          • Manage Write Policies
            • Write Policies Payloads and Response Schema Reference Guide
          • Policy Handler Objects
          • Search Connection Strings
          • Search for Organizations
          • Search Schemas
        • Subscribe to and Manage Data Sources
        • Manage Projects and Purposes
          • Manage Projects
          • Manage Purposes
        • Generate Governance Reports
Powered by GitBook

Self-managed versions

  • 2025.1
  • 2024.3
  • 2024.2

Resources

  • Immuta Changelog

Copyright © 2014-2025 Immuta Inc. All rights reserved.

On this page
  • Requirements
  • Prerequisite
  • Create a Google Cloud service account for creating Google BigQuery data sources
  • Create a service account using the Google Cloud web console
  • Create a service account using gcloud
  • Register data sources in Immuta
  • Next steps

Was this helpful?

Export as PDF
  1. Configuration
  2. Connect Data Platforms
  3. Connect Your Data
  4. Registering Metadata
  5. Register Data Sources

Google BigQuery Data Source

PreviousDatabricks Data SourceNextRedshift Data Source

Last updated 2 months ago

Was this helpful?

Private preview: The Google BigQuery integration is available to select accounts. Contact your Immuta representative for details.

Requirements

  • CREATE_DATA_SOURCE Immuta permission

  • Google BigQuery roles:

    • roles/bigquery.metadataViewer on the source table (if managed at that level) or dataset

    • roles/bigquery.dataViewer (or higher) on the source table (if managed at that level) or dataset

    • roles/bigquery.jobUser on the project

Prerequisite

Create a Google Cloud service account for creating Google BigQuery data sources

Google BigQuery data sources in Immuta must be created using a Google Cloud service account rather than a Google Cloud user account. If you do not currently have a service account for the Google Cloud project separate from the Google Cloud service account you created when , you must create a Google Cloud service account with privileges to view and run queries against the tables you are protecting.

You have two options to create the required Google Cloud service account:

  • .

  • .

Create a service account using the Google Cloud web console

    • BigQuery User

    • BigQuery Data Viewer

Create a service account using gcloud

  1. Copy the script below and update the SERVICE_ACCOUNT, PROJECT_ID, and IMMUTA_GCP_KEY_FILE values.

    • SERVICE_ACCOUNT is the name for the new service account.

    • PROJECT_ID is the project ID for the Google Cloud Project that is integrated with Immuta.

    • IMMUTA_GCP_KEY_FILE is the path to a new output file for the private key.

  2. Use the script below in the gcloud command line. This script is a template; change values as necessary:

    # Fill these out
    # Please use .json extension for key
    export SERVICE_ACCOUNT=datasource-account
    export PROJECT_ID=project123
    export IMMUTA_GCP_KEY_FILE=~/GCP_${SERVICE_ACCOUNT}_key.json
    
    # Create service account for creating data sources
    gcloud iam service-accounts create ${SERVICE_ACCOUNT} --project ${PROJECT_ID}
    
    # Generate keyfile
    gcloud iam service-accounts keys create ${IMMUTA_GCP_KEY_FILE} --iam-account=${SERVICE_ACCOUNT}@${PROJECT_ID}.iam.gserviceaccount.com
    
    # Allow account to execute queries
    #gcloud projects add-iam-policy-binding ${PROJECT_ID} \
    #--member="serviceAccount:${SERVICE_ACCOUNT}@${PROJECT_ID}.iam.gserviceaccount.com" --role=projects/${PROJECT_ID}/roles/bigquery.user
    gcloud projects add-iam-policy-binding ${PROJECT_ID} \
    --member="serviceAccount:${SERVICE_ACCOUNT}@${PROJECT_ID}.iam.gserviceaccount.com" --role=roles/bigquery.user
    
    # Allow account to view data
    gcloud projects add-iam-policy-binding ${PROJECT_ID} \
    --member="serviceAccount:${SERVICE_ACCOUNT}@${PROJECT_ID}.iam.gserviceaccount.com" --role=roles/bigquery.dataViewer
    
    echo if something went wrong and you want to delete the service account, run:
    echo gcloud iam service-accounts delete ${SERVICE_ACCOUNT}@${PROJECT_ID}.iam.gserviceaccount.com --project ${PROJECT_ID}

Register data sources in Immuta

Required Google BigQuery roles

Ensure that the user creating the data source has these Google BigQuery roles:

  • roles/bigquery.metadataViewer on the source table (if managed at that level) or dataset

  • roles/bigquery.dataViewer (or higher) on the source table (if managed at that level) or dataset

  • roles/bigquery.jobUser on the project

  1. Navigate to the Data Sources list page.

  2. Click Register Data Source.

  3. Select the Google BigQuery tile in the Data Platform section.

  4. Complete these fields in the Connection Information box:

    • Project: Enter the name of the project that has been integrated with Immuta.

    • Dataset: Enter the name of the dataset with the tables you want Immuta to ingest.

  5. Upload a BigQuery Key File in the modal. Note that the account in the key file must match the account email address entered in the previous step.

  6. Click the Test Connection button. If the connection is successful, a check mark and successful connection notification will appear and you will be able to proceed. If an error occurs when attempting to connect, the error will be displayed in the UI. In order to proceed to the next step of data source creation, you must be able to connect to this data source using the connection information that you just entered.

  7. Decide how to virtually populate the data source by selecting one of the options:

    • Create sources for all tables in this database: This option will create data sources and keep them in sync for every table in the dataset. New tables will be automatically detected and new Immuta views will be created.

    • Schema / Table: This option will allow you to specify tables or datasets that you want Immuta to register.

  8. Provide basic information about your data source to make it discoverable to users.

    • Enter the SQL Schema Name Format to be the SQL name that the data source exists under in Immuta. For BigQuery the schema will be the BigQuery dataset. The format must include a schema macro but you may personalize it using lowercase letters, numbers, and underscores to personalize the format. It can have up to 255 characters.

    • Enter the Schema Project Name Format to be the name of the schema project in the Immuta UI. This is an Immuta project that will hold all of the metadata for the tables in a single dataset.

      • When selecting Create sources for all tables in this database and monitor for changes, you may personalize this field as you wish, but it must include a schema macro to represent the dataset name.

      • When selecting Schema/Table, this field is pre-populated with the recommended project name and you can edit freely.

    • Select the Data Source Name Format, which will be the format of the name of the data source in the Immuta UI.

      • <Tablename>: The Immuta data source will have the same name as the original table.

      • <Schema><Tablename>: The Immuta data source will have both the dataset and original table name.

      • Custom: This is a template you create to make the data source name. You may personalize this field as you wish, but it must include a tablename macro. The case of the macro will apply to the data source name (i.e., <Tablename> will result in "Data Source Name," <tablename> will result in "data source name," and <TABLENAME> will result in "DATA SOURCE NAME").

    • Enter the SQL Table Name Format, which will be the format of the name of the table in Immuta. It must include a table name macro, but you may personalize the format using lowercase letters, numbers, and underscores. It may have up to 255 characters.

  9. Optional Advanced Settings:

    • Data Source Tags: Adding tags to your data source allows users to search for the data source using the tags and governors to apply global policies to the data source. Note if schema detection is enabled, any tags added now will also be added to the tables that are detected.

      • Click the Edit button in the Data Source Tags section.

      • Begin typing in the Search by Tag Name box to select your tag, and then click Add.

  10. Click Create to save the data source(s).

Next steps

With data sources registered in Immuta, your organization can now start

Using the , create a service account with the following roles:

Using the , generate a service account key for the account you just created.

Account Email Address: Enter the email address of a user with access to the dataset and tables. This is the account .

When selecting the Schema/Table option, you can opt to enable by selecting the checkbox in this section. This step will only appear if all tables within a server have been selected for creation.

Column Detection: To enable, select the checkbox in this section. This setting monitors when remote tables' columns have been changed, updates the corresponding data sources in Immuta, and notifies data owners of these changes. See to learn more about column detection.

building and to govern data.

to collaborate.

Google Cloud documentation
Google Cloud documentation
schema monitoring
global subscription
data policies
creating projects
Configure the Google BigQuery integration
configuring the Google BigQuery integration
Create a service account by using Google Cloud Console
Create a service account by using gcloud
schema projects overview
created in the Google BigQuery configuration guide