For versioning datasets and models, consider using tools like Oxen.ai, MLFlow, or WandB for robust handling of version control and metadata. Storing models and datasets in S3 with unique identifiers can work, but adding metadata and structured databases can further streamline management. Avoid embedding large data in Git and use S3 for scalable storage with appropriate documentation practices.