Reliable processes
One of the railway network operators needed a real-time, IoT-enabled solution to efficiently manage its complex infrastructure. Fractal developed individual components and a real-time response system on the Azure cloud platform using the Databricks framework.
Key challenges
Handling vast amounts of data across the network
The solution
Data and security
Built ingestion, storage, and analytics components
Secured networking on Azure
Enabled real-time data processing
Real-time insights
Live status reporting and analysis
Integrated drill-down analytics
Instant support for business systems
1
Data processing and integration
Streamlined data ingestion and access
Added real-time metadata for insights
Integrated IoT sources with Azure
2
Real-time monitoring
Enabled real-time tracking and alerts
Supported proactive responses
Automated issue detection
3
Scalability and reliability
Built for high-volume processing
Ensured resilience with failover
Optimized uptime and performance
Automation and efficiency
Fully automated on Azure
Lower manual workload
Streamlined workflows
Real-time reliability
Instant alerts and issue detection
Automated failure recovery
Reduced service interruptions
Scalability and resilience
Handled high-volume data
Ensured seamless performance
Improved system stability
Enhanced AI integration
Leverage AI for predictive maintenance
Expanded scalability
Optimize for larger data volumes and regions
Continuous improvement
Refine automation and real-time insights
