Test Data Management

Test data management (TDM) involves creating, maintaining, and controlling the data used in testing. Good test data is essential for reliable, meaningful test results.

Test data approaches:

• Manual creation: Create specific data for each test — precise but slow
• Copy from production: Anonymize real data — realistic but privacy concerns
• Synthetic generation: Generate fake but realistic data — scalable
• Subset from production: Sample of real data, anonymized

Test data challenges:

• Keeping data in sync with schema changes
• Ensuring referential integrity across tables
• Privacy compliance (GDPR, HIPAA) when using production data
• Data freshness — stale data causes false results
• Test isolation — tests shouldn't interfere with each other's data

Best practices:

• Each test creates its own data and cleans up after
• Use factories/builders for test data creation
• Anonymize any production data copies
• Version control test data alongside code
• Use database transactions for automatic cleanup