Airline data warehouse modernization

Industry: Aviation

Delivered for: Air Canada

Focus: Data warehouse migration and modernization

Impact: Lower operating costs and faster data access

Project scope

  • 1

    Target architecture and migration plan

    Scope included target-state architecture design and a phased migration plan from a legacy on-premises warehouse to a modern cloud data platform.

  • 2

    Stakeholder coordination and migration sequencing

    Scope included coordination across internal teams, vendors, and application providers to support phased execution.

  • 3

    Application and API modernization

    Scope included modernization and migration of multiple on-premises applications and containerization of a large set of APIs to support the target platform.

Project context

The initiative focused on moving a legacy warehouse environment to a more elastic cloud architecture while improving performance, transparency, and operating efficiency.

Problem

Legacy warehouse infrastructure was creating performance, cost, and transparency constraints, while dependent applications and interfaces increased migration complexity.

Solution

The engagement defined a target-state architecture, established a phased migration plan, and modernized dependent applications and APIs to support the future-state platform.

Outcome

The modernization improved access to data, reduced operating overhead, strengthened auditability, and created a more scalable foundation for future analytics initiatives.

Selected outcomes

  • Improved performance for data retrieval and reporting workloads
  • Reduced platform maintenance and operational overhead
  • Strengthened transparency and auditability across key datasets
  • Created a stronger foundation for future analytics and AI use cases

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