Development and maintenance of an analytical platform that enables tasks like collection, storage, processing and analysis of large volumes of data associated with connected trains to be performed, helps in real-time decision making and allows for a move towards predictive maintenance.
The challenge of this project lies in predictive maintenance based on the condition thanks to an analytical platform that exploits the information collected by the fleet of trains.
We support the customer’s team in the development of the data collection, storage, analysis and visualisation processes on a Big Data platform through our knowledge of Big Data technologies, DevOps methodologies and hybrid infrastructure on-site and in the cloud.
The result of the project is to ensure technological solvency by the CAF team in the future maintenance of the platform and the processes and data that reside in it.
