Synthetic Data Generation for Testing: Using Generative Models to Create Large Volumes of Realistic, Labelled Data for Testing Downstream Applications
Why Synthetic Data Is a Testing Accelerator Testing modern data products is hard because real datasets are often incomplete, sensitive, and poorly labelled. Synthetic data generation solves these problems by creating artificial records that resemble