Data Residency for Google BigQuery

Redact and anonymize regulated data from Google BigQuery

[LEARN MORE about Data Residency for Google BigQuery](/content/integrations/google-bigquery/#contact-us "LEARN MORE"/index.html)

Continue to consolidate worldwide data and maintain local compliance

Isolate regulated data from Google BigQuery with full redaction and anonymization before data loading. Continue to gain global insights and perform local analytics by combining local regulated data with global data.

Google BigQuery with InCountry

InCountry seamlessly integrates with ETL data loading processes, offering effortless incorporation into existing workflows. Python scripts simplify the process by connecting with InCountry’s local servers in each country to redact regulated fields and substitute them with anonymized values. Regulated data can be securely managed within InCountry’s infrastructure to enable local analytics, merging localized regulated data with global datasets.

• Dynamic redaction of regulated fields
• Flexible anonymization methods such as tokenization, hashing, and masking algorithms
• Comprehensive audit log for tracking data modifications

Support both local and global analytics and applications

• Global business intelligence and reporting tools continue to operate with regulated data fully masked
• Local users can create dashboards and reports using both local regulated data and data from global warehouses and data lakes
• Define granular access policies for groups of users and applications with query filters, field-level access controls, field masks, and CRUD controls

Learn more about InCountry for Analytics

InCountry Data Residency for Google BigQuery

Features

• Direct integration with ETL
• No changes to pipelines or workflows
• Flexible tokenization, hashing, and masking algorithms

Benefits

• Compliance with cross-border data transfer regulations
• Descope ETL and Google BigQuery from regulated data processing
• Fast setup and time-to-market

How it Works

Identify ETL files processes with regulated data that crosses borders

Use Python script in the country that calls the InCountry REST API to redact and anonymize regulated data

Continue to use ETL

Perform local analytics by combining local regulated data with global data

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