Real-Time Analytics for Streaming Data
Real-Time Analytics for Streaming Data Real-time analytics turn live events into insights as they arrive. This approach is faster than batch reports and helps teams watch trends, detect spikes, and respond quickly. With streaming, you can improve customer experiences, prevent outages, and optimize operations. A streaming pipeline usually has four parts: data sources emit events, a messaging layer carries them, a stream processor computes results, and the outputs appear in dashboards, alerts, or storage. ...