Real-time data processing is a research field and methodological approach focused on the immediate or near-immediate analysis, transformation, and utilization of data streams upon their generation or reception. This approach prioritizes processing data within strict time constraints to enable timely insights or actions. It investigates computational techniques, algorithms, and system architectures optimized for minimizing latency and ensuring continuous operation. Key characteristics include low latency, high throughput handling of continuous data streams, and responsiveness. Its significance lies in enabling rapid decision-making, automated control of dynamic systems, and facilitating applications requiring instantaneous responses to evolving conditions across various domains.