Real Time Data Streaming
Live data processing with Kafka, Spark, and streaming platforms.
Overview
Real Time Data Streaming processes data as it arrives, enabling immediate insights and actions. Our streaming solutions handle high-volume, high-velocity data with low latency.
Key Features
Stream processing
Event sourcing
Real-time analytics
Message queuing
Fault tolerance
Scalable throughput
Use Cases
IoT data processing
Fraud detection
Real-time analytics
Event monitoring
Log processing
Sensor data
Benefits
- Enable real-time decisions
- Reduce latency
- Handle high volumes
- React to events