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Modernization of Road User Charging System Data Migration to Azure Cloud

supercharge.io

Government

Legacy Data Infrastructure Challenges in Road User Charging System Modernization

Transport for London (TfL) needed to modernize its Road User Charging system by consolidating and migrating petabytes of structured and unstructured historical data from legacy infrastructure to Azure Cloud. Challenges included ensuring data integrity, minimizing downtime, managing complex data mappings, and maintaining compliance during the transition to an in-house operated system.

About the Client

Public transport and road management authority overseeing congestion charging and mobility initiatives in London

Modernization Goals for Data Migration and System Consolidation

Consolidate and migrate petabytes of structured/unstructured data to Azure Cloud
Ensure seamless transition with parallel-run support and zero business disruption
Implement dynamic pipeline orchestration for complex data mappings
Achieve compliance with data governance and security standards
Build a scalable architecture for future system changes

Core Functionalities for Data Migration System

Metadata-driven dynamic pipeline orchestration
Automated data profiling, cleansing, and validation
Real-time dashboard for pipeline monitoring and reconciliation reports
Error-handling mechanisms for data transformation processes
Multi-source system integration with 7 legacy systems

Preferred Technologies for Cloud Migration

Databricks

Microsoft Fabric

Azure Data Lake

Python

SQL

Required System Integrations

Azure Cloud infrastructure
Legacy source systems
Data validation tools

Key Non-Functional Requirements

High scalability for petabyte-scale data processing
99.9% system uptime during migration
Data encryption and compliance with UK government standards
Performance optimization for 9.16 billion document processing
Cost-effective cloud resource management

Expected Business Impact of Successful Data Migration

The solution will enable TfL to process 9.16 billion documents and migrate 5.09 billion records with 1 petabyte of unstructured data securely to Azure. This creates a future-ready foundation for digital transformation, reduces operational complexity through centralized data management, and supports scalable infrastructure for evolving mobility initiatives while maintaining strict compliance and data governance.