Strømmingsrammeverk
Strømmingsrammeverk, often translated as streaming frameworks, are software systems designed to process data in real-time or near real-time. Unlike traditional batch processing which analyzes data in discrete chunks, streaming frameworks handle continuous data flows as they are generated. This allows for immediate analysis, reaction, and decision-making based on the most current information.
Key characteristics of strømmingsrammeverk include their ability to ingest high volumes of data from various sources,
Popular examples of strømmingsrammeverk include Apache Kafka, Apache Flink, Apache Spark Streaming, and Amazon Kinesis. These