👉 Continuous computation, also known as streaming or online computing, is a paradigm where data flows in an unending stream and is processed incrementally, without the need to store all data in memory beforehand. In this model, computations are performed on data as it arrives, often in real-time or near real-time, allowing for immediate insights and responses. Unlike batch processing, where data is collected and processed all at once, continuous computing allows for the handling of large volumes of data with low latency, making it ideal for applications like sensor networks, financial market analysis, and real-time recommendation systems. This approach requires specialized algorithms and data structures that can handle the continuous flow of information efficiently, often leveraging techniques such as sliding windows, incremental updates, and event-driven processing to manage and analyze data streams effectively.
