Real-Time Analytics and Streaming Data
Real-Time Analytics and Streaming Data Real-time analytics means processing data as soon as it’s produced, so insights arrive with minimal delay. It helps teams detect anomalies, guide decisions, and react to events while they are fresh. This approach contrasts with batch analytics, where data sits in a queue before processing. Streaming data refers to a continuous flow of events. Each event may include a timestamp, a type, and values. To turn streams into knowledge, you set up a pipeline that ingests, analyzes, and stores results quickly, often within seconds or minutes. ...