Real-Time Analytics and Applications
Real-Time Analytics
Extracting immediate insights from streaming data:
Streaming Analytics Types:
- Aggregations and metrics
- Pattern detection
- Anomaly detection
- Time-series analysis
- Predictive analytics
- Complex event processing
- Geospatial analytics
Example Real-Time Dashboard Architecture:
┌───────────────┐ ┌───────────────┐ ┌───────────────┐
│ │ │ │ │ │
│ Event │────▶│ Stream │────▶│ Analytics │
│ Sources │ │ Processing │ │ Store │
│ │ │ │ │ │
└───────────────┘ └───────────────┘ └───────┬───────┘
│
│
▼
┌───────────────┐
│ │
│ Dashboard │
│ Server │
│ │
└───────┬───────┘
│
│
▼
┌───────────────┐
│ │
│ Web │
│ Dashboard │
│ │
└───────────────┘
Time-Series Analytics:
- Real-time metrics calculation
- Moving averages
- Trend detection
- Seasonality analysis
- Forecasting
- Downsampling
- Specialized time-series databases
Machine Learning in Streams:
- Online learning algorithms
- Model serving in streams
- Feature extraction
- Prediction serving
- Model updating
- A/B testing
- Concept drift detection
Real-Time Applications
Common use cases for real-time data processing:
Fraud Detection:
- Real-time transaction monitoring
- Pattern recognition
- Rule-based detection
- Machine learning models
- User behavior profiling
- Network analysis
- Alert generation
Real-Time Recommendations:
- User activity streaming
- Contextual recommendations
- Collaborative filtering
- Content-based filtering
- Real-time personalization
- A/B testing
- Feedback loops
IoT and Sensor Data Processing:
- Device telemetry processing
- Anomaly detection
- Predictive maintenance
- Digital twins
- Edge analytics
- Time-series forecasting
- Geospatial analysis
Real-Time Inventory and Supply Chain:
- Inventory level monitoring
- Demand forecasting
- Supply chain visibility
- Order tracking
- Logistics optimization
- Warehouse management
- Just-in-time inventory