Data Residency for Snowflake
Redact and anonymize regulated data from Snowflake
Process worldwide data while maintaining local compliance
Isolate regulated data from Snowflake 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.
Snowflake with InCountry
InCountry operates seamlessly with Snowpipe data loading. Easy to use Python scripts call InCountry’s point-of-presence in a country to redact regulated fields and insert anonymized values in their place. Regulated data can optionally be securely managed in the InCountry point-of-presence to perform local analytics by combining local regulated data with global data.
- Integrates seamlessly with existing Snowpipe processes
- Dynamically redact regulated fields
- Anonymize regulated data with flexible tokenization, hashing, and masking algorithms
- Full audit log
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
InCountry Data Residency for Snowflake
Features
- Direct integration with Snowpipe
- No changes to pipelines or workflows
- Flexible tokenization, hashing, and masking algorithms
Benefits
- Compliance with cross-border data transfer regulations
- Descope ETL, Snowpipe and Snowflake 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 and Snowpipe
Perform local analytics by combining local regulated data with global data