👉 Delta computing is an optimization technique used in distributed systems, particularly in machine learning and big data processing, that focuses on computing only the changes (deltas) in data rather than the entire dataset. Instead of recalculating all the values from scratch, delta computing updates only the affected parts of the data, significantly reducing computational and storage requirements. This approach is especially beneficial in scenarios involving large datasets or real-time processing, as it minimizes resource usage and enhances efficiency by leveraging incremental updates. By concentrating on the differences, delta computing enables faster processing and more scalable solutions, making it a valuable strategy for handling the growing volume of data in modern applications.
