Migrating from DataFrame to Dataset in Apache Spark can significantly reduce runtime errors thanks to type safety, compile-time checks, and clearer schema awareness. This transition addresses common issues such as human errors and schema mismatches, ultimately leading to more robust and maintainable data processing systems. The article provides insights into the advantages of using Dataset over DataFrame for large-scale data processing, emphasizing correctness and maintainability.