In the world of data engineering, one challenge never seems to go away: getting the right data for testing. Production data is often sensitive, incomplete, or just plain unavailable. Copying it for testing? That’s a compliance nightmare waiting to happen. Enter synthetic data generation — a way to create realistic, safe, and fully controllable datasets... Continue Reading →