What is Streaming Analytics? Use Cases & Examples

Streaming analytics refers to collecting and processing real-time data streams from various applications. It allows businesses to gain instantaneous insights from their data, enabling them to take early actions for business development. This low-latency system helps organizations become efficient and keep up with the competition. Real-time data processing does pose some challenges, such as requiring a powerful, always-up system optimized for handling data streams. Some common applications of data streaming analytics include real-time system monitoring, sensor data monitoring for IoT devices, and machine learning processing.