Scalable Data Migration Solution for Modernizing Road User Charging Systems

The client manages complex and extensive road user charging data, integrating multiple legacy systems containing petabytes of structured and unstructured data. Their current infrastructure impedes operational efficiency, hinders scalability, and risks data integrity during migration. Transitioning in-house requires a robust, secure, and high-performance data migration strategy capable of handling massive data volumes with minimal disruption.

A large metropolitan transportation agency seeking to modernize its congestion and road usage billing infrastructure by migrating extensive legacy data to the cloud.

• Consolidate and migrate petabytes of diverse structured and unstructured data to a cloud-based infrastructure with minimal downtime.
• Design a custom, scalable data migration system ensuring data integrity, system performance, and compliance standards.
• Implement dynamic, metadata-driven data pipelines capable of managing complex data mappings, transformations, and validation processes.
• Establish a secure, flexible, and future-proof cloud architecture supporting ongoing data operations and system enhancements.
• Achieve high efficiency in data transfer, supporting migration of billions of records and large unstructured data assets, while maintaining business continuity.

• Metadata-based dynamic pipeline orchestration for managing complex data workflows and tracking process metrics.
• Support for massive-scale data transfer, including structured records and unstructured data assets.
• Robust data profiling, cleansing, and validation modules to ensure data quality and integrity throughout migration.
• Error handling mechanisms with detailed logs and reconciliation reports hosted on a centralized dashboard.
• Flexible data mapping and transformation design to accommodate multiple source systems with divergent schemas and structures.
• Parallel processing capabilities to optimize transfer speeds and minimize operational downtime.

• Legacy transportation data sources for initial data extraction
• Cloud storage and data lake services for storing migrated data
• Data validation and reconciliation dashboards
• Monitoring tools for pipeline tracking and performance metrics

• High scalability to manage petabyte-scale data volumes
• Performance optimized to reduce total migration time and downtime
• Data security compliance, including secure transfer and storage of sensitive information
• System reliability with automated error detection and recovery mechanisms
• Auditability with detailed logs and reports for all migration activities

Successful consolidation and migration of large-scale transportation data assets will streamline operational efficiency, enable real-time data access, and future-proof the client’s billing infrastructure. The project aims to migrate over 5 billion records, transfer approximately 1 petabyte of unstructured data securely, and improve system performance and compliance, thus significantly reducing operational disruptions and increasing scalability for future growth.