Case Study · Public Transport Operator × Linkroad
Public transport operator Azure Migration
Client anonymised at their request | Public Transportation
Linkroad modernized the client’s core technology infrastructure by migrating an outdated on-premises Enterprise Service Bus (ESB) to Microsoft Azure Cloud. The project meticulously reconstructed integration flows using Azure Data Factory for orchestration and leveraged Azure Data Lake Storage for centralized data capture and persistence.
A completely new data analytics infrastructure was implemented utilizing Azure Databricks, Azure Synapse Analytics, and Power BI, significantly enhancing the operator’s data processing and analysis capabilities.
Gallery
Solution
Off the legacy bus, onto Azure.
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Migration: Critical legacy ESB migrated to Microsoft Azure with minimal disruption to ongoing operations; integration flows fully reconstructed using Azure Data Factory for end-to-end orchestration.
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Data Centralization: Azure Data Lake Storage established as the centralized hub for data capture, aggregation, and persistence from diverse operational sources, ensuring data integrity and security throughout.
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Analytics Infrastructure: Comprehensive new platform built on Azure Databricks for high-performance processing, Azure Synapse Analytics for data warehousing, and Power BI for intuitive reporting and dashboards.
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Managed Services: Seamless integration and performance optimization within the new cloud environment, supported by a 24/7 managed services model.
About the client
A metropolitan public transport operator
The client operates a metropolitan public transportation network. Its integration layer and analytics platform now run on Microsoft Azure, supported by a 24/7 managed services model.
Public transportation · Europe
Impact
What the programme delivered
01
Modernized integration backbone
Modernized integration backbone with successful ESB migration to Azure, eliminating legacy on-premises infrastructure and significantly improving scalability and operational efficiency.
02
Centralized data capture
Centralized data capture and aggregation within Azure Data Lake Storage, transforming disparate information from multiple sources into unified, actionable assets.
03
Improved analytics capabilities
Vastly improved analytics capabilities delivering deeper operational insights and enabling better-informed decision-making for the operator’s public transportation network.
Technology
Azure end to end, from bus to dashboard.
Platform
Microsoft Azure — Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse Analytics.
Reporting
Power BI for operational dashboards and reporting.
Scope
ESB migration, integration flow reconstruction, centralized data persistence, full data analytics infrastructure implementation.
Other
Cloud modernization, scalability, data integrity, GDPR compliance, performance optimization, 24/7 managed services.
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