The use of large data creates specific perspectives for optimizing urban transport – meaning mobility – where the number and diversity of available data is constantly increasing. The effective processing of this huge pale of data will enable the improvement of the efficiency of means of transport and the quality of services provided by operators, translating into reduction of carbon dioxide emissions, improvement of air quality and comfort of living in the city. As part of the project, we will develop a method and tool for migrating to the cloud and the serverless model, supporting companies and public entities..