Data-Type Agnostic

Data-type agnostic is the property of a system, process, or algorithm that can handle and process different types of data without any bias towards any particular type of data. This means that the system, method, or algorithm can handle both structured and unstructured data, as well as data in various formats, such as text, images, audio, and video, without requiring any special treatment or changes.

Data-type agnostic systems are becoming increasingly crucial when organizations deal with large and diverse data sets containing a wide range of data types. Data-type agnostic systems are designed to be flexible and adaptable and to handle large and complex data sets with ease, making them well-suited for modern data-driven organizations.