Estado del arte de las estrategias de migración y gestión de datos en la nube para aplicaciones telemáticas

Abstract

This study examines the current state of cloud data management techniques for telematics applications. Important trends and persistent issues in the field were discovered through a comprehensive literature review and qualitative meta-analysis. The results show a strong trend towards the adoption of cloud-native architectures (78%) and the use of cloud data lakes (85%). With 92% deployment of cloud-based identity and access management (IAM) systems, security remains a priority. The landscape of telematics applications is changing due to emerging technologies such as Federated Artificial Intelligence (65% adoption) and the integration of edge computing with cloud solutions (75%). However, 80% of organizations say they face significant challenges, particularly in managing costs in multi-cloud environments. 70% of the population adopts microservices and container architectures, reflecting a trend towards more modular and agile systems. However, it also introduces new operational complexities.