Identify fields containing Names, Emails, IP addresses, or sensitive health/financial data.
While you can make a FoxPro application GDPR compliant through rigorous coding and third-party tools, many organizations view these regulations as the final nudge to migrate to or PostgreSQL . Using FoxPro as a front-end with a secure SQL backend offers the best of both worlds: the rapid development of VFP and the enterprise-grade security required by modern law.
Anonymize the main customer table UPDATE customers ; SET first_name = "[ANONYMIZED]", ; last_name = "[ANONYMIZED]", ; email = "deleted@" + SYS(2015) + ".example.com", ; phone = "0", ; address = "", ; birth_date = {^1900-01-01}, ; gdpr_anonymized = .T., ; gdpr_anonymized_date = DATETIME() ; WHERE customer_id = lcCustomerID
Remove from marketing lists DELETE FROM marketing_subscribers WHERE customer_id = lcCustomerID
Identify fields containing Names, Emails, IP addresses, or sensitive health/financial data.
While you can make a FoxPro application GDPR compliant through rigorous coding and third-party tools, many organizations view these regulations as the final nudge to migrate to or PostgreSQL . Using FoxPro as a front-end with a secure SQL backend offers the best of both worlds: the rapid development of VFP and the enterprise-grade security required by modern law. foxpro gdpr
Anonymize the main customer table UPDATE customers ; SET first_name = "[ANONYMIZED]", ; last_name = "[ANONYMIZED]", ; email = "deleted@" + SYS(2015) + ".example.com", ; phone = "0", ; address = "", ; birth_date = {^1900-01-01}, ; gdpr_anonymized = .T., ; gdpr_anonymized_date = DATETIME() ; WHERE customer_id = lcCustomerID Identify fields containing Names, Emails, IP addresses, or
Remove from marketing lists DELETE FROM marketing_subscribers WHERE customer_id = lcCustomerID Anonymize the main customer table UPDATE customers ;