👉 Gradually computing, also known as incremental or streaming computation, is a method where computations are performed on data as it arrives, rather than waiting for the entire dataset to be available. This approach is particularly useful for handling large or continuously flowing data streams, where traditional batch processing methods might be inefficient or impractical. In gradually computing, each new data point triggers partial computations that are updated incrementally, allowing for real-time analysis and decision-making. This technique reduces memory usage, as only the current state of computation is stored, and enables efficient processing of data that is too large to fit into memory all at once. Gradually computing finds applications in areas like real-time analytics, sensor data processing, and machine learning, where timely insights from streaming data are crucial.
