What is Stream Computing?
Stream Computing continuously integrates and analyzes data in motion to deliver real-time analytics. Stream Computing platforms consist of both a development environment and a high speed runtime architecture. Stream Computing enables organizations to detect insights (risks and opportunities) in high velocity data which can only be detected and acted on at a moment’s notice. High velocity flows of data from real-time sources such as market data, Internet of Things, mobile, sensors, clickstream, and even transactions, remain largely un-navigated.
Stream Computing enables organizations to:
- Analyze and act up upon rapidly changing data in real time
- Enhance existing models with new insights
- Capture, analyze and act on insight before opportunities are lost, forever
- Move from batching process to real-time analytics and decisions
The top use cases for Stream Computing are:
- Internet of Things (IoT) – Optimize availability, performance, capacity and resource utilization
- Enhanced security intelligence – Predict, prevent and act on security threats and real-time fraud detection. Increase situational awareness.
- Next best action – Act on up-to-the-second observations, while the event/transaction is still happening
- Real-time sentiment analysis of social media – Effectively respond to improve the client experience