streamprosessoinnilla
Streamprosessoinnilla, often translated as stream processing, refers to the practice of processing data in motion. Unlike traditional batch processing, where data is collected and processed in discrete chunks at a later time, stream processing handles data as it is generated and arrives continuously. This allows for near real-time analysis and response to events as they occur.
The core idea behind stream processing is to continuously ingest, transform, and analyze data streams. These
Key characteristics of stream processing include low latency, high throughput, and the ability to handle potentially
Technologies for stream processing vary, but common components include message queues for ingestion, stream processing engines