Project Objectives

The main objectives of this project were

  1. Implementing a Data Mesh Architecture: Adopting a data mesh architecture for decentralised and secure data management.
  2. Integrate Data Sources: Integrate data from multiple sources to improve analytics.
  3. Transport Information Improvement: Ensure real-time updates of transport information, such as ETDs and ETAs.

Platform and technologies used

The project was carried out on a private cloud platform using Snowflake as the main data warehouse. The following services were essential to our solution:

Challenges and solutions

Conclusion

This project demonstrated the effectiveness of the data mesh architecture for secure, decentralised management of real-time data. Using Snowflake and its associated services, we were able to integrate data from different BUs, improve transport information and ensure robust data security. The implementation of this architecture has enabled the company to benefit from improved data quality, enhanced analytics and improved security, preparing the data infrastructure for future challenges.

In conclusion, this case study illustrates how a well-planned and executed data mesh architecture can transform a company’s data management, improving its ability to respond quickly and effectively to the changing needs of the modern technology environment.