Stream Processing Frameworks

Stream processing frameworks are tools designed to analyze and handle real-time data as it is generated, rather than waiting for all data to be collected. Imagine monitoring live stock prices or website activity instantaneously; these frameworks process data flows continuously, enabling quick insights and actions. They break down large streams of information into manageable parts, filter, analyze, and sometimes react instantly. Examples include systems like Apache Kafka or Apache Flink used in industries for tasks such as fraud detection, real-time analytics, and dynamic decision-making, ensuring businesses can respond swiftly to changing data and events.