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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.
How to generate synthetic data from an existing database by seeding net-new records from its schema and relationships, with referential integrity intact.
Learn how to measure synthetic data quality across fidelity, utility, and privacy — which metrics matter and how to evaluate your generated output.