Challenge
- Out of the box plus custom data classifications such as Patient ID, User ID etc.
- Find ALL sensitive data across SQL Server and Files and masked data that is real-like and not hashed values.
- Complex data fields with data quality issues where the customer had no control over the incoming data.
- Referential integrity and consistency.
Our Solution
- Our Team was able to find various data classification like patient ID with no patterns.
- Optimized performance with minimal run time impact by creating masking methods using repositories.
Benefits
- Large volumes of data (48 TB in 1 production server) were handled successfully with optimized performance.
- Maintained data consistency across data sources, formats, and referential integrity as well.
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