adatfolyamfeldolgozásra
Adatfolyamfeldolgozás, or stream processing, is a computational paradigm concerned with the processing of data that arrives in continuous streams. Unlike traditional batch processing, which handles data in discrete chunks, stream processing deals with data that is constantly being generated and needs to be processed in near real-time. This approach is essential for applications where timely insights and immediate responses are critical.
The core idea behind adatfolyamfeldolgozás is to analyze data as it flows, often without storing the entire
Key characteristics of stream processing include low latency, high throughput, and the ability to handle potentially