The Synthetic Data Vault

The Synthetic Data Vault (SDV) is a collection of tools designed to generate realistic artificial data that mimics real datasets. It uses advanced algorithms to learn patterns and relationships within original data and then creates new, synthetic data that maintains similar statistical properties. This allows organizations to share or analyze data securely without exposing sensitive information. SDV is useful for tasks like testing models, research, or collaboration, as it preserves data utility while protecting privacy and confidentiality.