EUBra-BIGSEA focused on the development of advanced QoS services for Big Data applications, demonstrated in the scope of the Massive Connected Societies. EUBra-BIGSEA developed a QoS architecture that predicts resource consumption of Big Data Analytics applications in order to pre-allocate and dynamically adjust virtualized infrastructures. EUBra-BIGSEA leveraged mixed horizontal and vertical elasticity on hybrid container and VM infrastructures to support a rich Data Analytic framework powered by OPHIDIA, COMPSs and Spark, which were enriched with these capabilities. EUBra-BIGSEA is an API-oriented project (that is, it is oriented to service and application developers). It eased the development of Data Analytics application and improved performance and better usage of resources, as well as a sound framework for implementing privacy policies. EUBra-BIGSEA was demonstrated on a data-intensive use case on traffic information prediction and recommendation from the municipality data of Curitiba, in Brazil. The final application targets general citizens, who can have a predictive information based on climate conditions and historic data. EUBra-BIGSEA was an international initiative, designed to create and reinforce international cooperation between Europe and Brazil, and contribute to technology and knowledge exchange between the two.