Atlas › 15 SQL & Database Testing › Data Masking and Anonymization☰ Read as one page
Data Masking and Anonymization
8.1OverviewTest environments need realistic data without exposing real customer information. Data masking transforms production data into safe test…8.2Why Data Masking Matters8.3Masking Techniques8.4Masking RequirementsMasked data must look like the original data type. Emails must look like emails. Phone numbers must be valid phone number format.8.5Statistical PreservationFor analytics and reporting tests, masked data should preserve statistical properties:8.6Compliance Requirements8.7Masking Tools8.8Practical Exercise1. Write a masking script that transforms emails and phone numbers while preserving format 2. Write tests that verify masked data: format…8.9Key Takeaways- Data masking is a legal requirement (GDPR, HIPAA, PCI DSS), not just a best practice - Masked data must preserve format, relationships…