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How synthetic data is generated — the rule-based, statistical, and generative methods behind it, and how each shapes realism and privacy.
Synthetic data isn't automatically private.
How to generate synthetic data from an existing database by seeding net-new records from its schema and relationships, with referential integrity intact.
Learn what mock data and synthetic APIs are, how they work, and when to use them to build and test software faster.
Learn how to measure synthetic data quality across fidelity, utility, and privacy — which metrics matter and how to evaluate your generated output.