Stream analytics use cases
Stream analytics, also known as real-time analytics or real-time data processing, involves analyzing and deriving insights from data that is generated continuously and in real time. Here are some common use cases for stream analytics:
- Fraud detection: Stream analytics can be used to detect fraudulent activities in real time. By continuously analyzing incoming data from various sources, such as financial transactions or user behavior patterns, patterns indicative of fraud can be identified and appropriate actions can be taken immediately.
- IoT data processing: IoT generates vast amounts of data from connected devices. Stream analytics can process and analyze this data in real time, enabling real-time monitoring, anomaly detection, predictive maintenance, and operational optimization.
- Network monitoring and anomaly detection: Stream analytics can be used to monitor network traffic and detect anomalies or suspicious activities in real time. This...
