Real-Time Data Processing with Stream Analytics
Real-Time Data Processing with Stream Analytics Real-time data processing helps teams react as events happen. Instead of waiting for nightly batches, you can analyze streams in seconds or milliseconds. This is crucial for live dashboards, alerts, and services that must adapt to new information quickly. With stream analytics, data from many sources is merged, analyzed, and stored almost immediately. Key ideas to know: Streams carry events, not static files, so you process continuously. Windowing groups events over short periods to produce timely results. Stateful processing remembers past events to detect trends or anomalies. How it works in practice ...