👉 RB (Rich Binary) computing is a data processing paradigm that leverages binary representations to efficiently handle large-scale data operations, particularly in distributed systems. It involves encoding data as binary numbers, which allows for compact storage and fast manipulation through bitwise operations. This approach is especially beneficial for tasks like machine learning, where data can be represented as vectors or matrices in binary form, enabling faster computations and reduced memory usage. By utilizing binary arithmetic, RB computing can significantly speed up tasks such as sorting, searching, and aggregation, making it a powerful tool for optimizing performance in big data analytics and AI applications.
