Real-Time Data Analytics for Businesses
Real-Time Data Analytics for Businesses Real-time data analytics means capturing data as events happen and turning them into insights without delay. This speed lets teams react to problems, prevent downtime, and tailor experiences as customers interact with a service. It complements batch analytics, which still has a valuable role for longer-term trends. A simple pipeline has four parts: data sources, a streaming layer, processing logic, and a presentation layer. Data from websites, apps, sensors, or machines flows into an event stream. A processing engine computes metrics or scores in near‑instant time. Results are stored in a fast data store or a live warehouse and shown on dashboards for operators and decision makers. ...