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Scalable Data Migration and Modernization of Road User Charging Infrastructure
  1. case
  2. Scalable Data Migration and Modernization of Road User Charging Infrastructure

Scalable Data Migration and Modernization of Road User Charging Infrastructure

supercharge.io
Transport
Government

Challenges Faced by Urban Transportation Authorities in Data Modernization

The client manages extensive and complex transportation data systems with petabytes of structured and unstructured data across multiple legacy sources. They face difficulties in consolidating these data assets, ensuring data integrity, maintaining business continuity, and achieving seamless migration to a cloud environment for improved operational efficiency, scalability, and compliance.

About the Client

A large urban transportation authority seeking to modernize and migrate its legacy congestion management and road usage data systems to a cloud-based platform for enhanced efficiency and future scalability.

Goals for Modernizing and Migrating Road Usage Data Systems

  • Consolidate and migrate petabytes of diverse structured and unstructured transportation data to a scalable cloud platform.
  • Ensure seamless system transition with minimal downtime, maintaining data accuracy, integrity, and compliance.
  • Create a robust, flexible data architecture capable of supporting future system changes and growth.
  • Enhance data governance, security, and cost management through optimized infrastructure and tooling.
  • Support over 9 billion documents and 5 billion records transfer, including secure handling of 1 petabyte of unstructured data.

Core Functional Requirements for Cloud-Based Data Migration System

  • A metadata-driven, dynamic pipeline orchestration layer to manage complex, variable data workflows
  • Automated data profiling, cleansing, and validation processes to ensure data quality
  • Support for complex mapping and transformation logic with robust error handling and reconciliation reports
  • Integration with multiple source systems to map and consolidate data from various legacy platforms
  • Real-time dashboards to monitor migration progress, validation issues, and system performance
  • Flexible, cloud-independent architecture to allow future system updates and scaling

Recommended Technologies and Architectural Approaches

Cloud data platforms supporting scalable workloads
Metadata-driven orchestration tools
Massively scalable data processing environments

Necessary System Integrations

  • Legacy transportation data sources
  • Cloud storage solutions for large data assets
  • Data governance and security tools
  • Monitoring and dashboard interfaces

Critical Non-Functional System Requirements

  • Capacity to handle over 9 billion documents and 5 billion records with high throughput
  • Secure transfer and storage of 1 petabyte of unstructured data
  • High system availability with minimal downtime during migration
  • Scalable infrastructure to support future data growth
  • Compliance with data security and regulatory standards

Expected Business Benefits from Data Modernization

Successfully consolidating and migrating large-scale transportation data will streamline operations, improve data accuracy, and enhance system performance. The new architecture will provide a future-proof foundation, enabling rapid adaptation to evolving transportation policies and supporting ongoing digital transformation initiatives, with tangible improvements in operational efficiency and data management metrics.

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