In the era of Big Data, satellite remote sensing plays a major role in marine and coastal research, by contributing large and long archives of datasets to the scientific community for a wide range of marine and coastal applications. Dating from the 1970s, the generation of polar-orbiting satellite data that cover the entire globe can be as frequent as every 12 hours. The availability of such satellite datasets, some of which now hold an open access status, has made feasible the development of large-scale marine projects, with examples including the European Space Agency (ESA) Climate Change Initiative (CCI) Ocean Colour, Sea Surface Temperature, Sea Ice and Sea Level projects. However, until recently, scientists had to deal with the daunting task of mining large datasets for suitable data, and often downloading EO information from various different sources. In addition, as the datasets increased in volume, the processing has become slower and demanding of better computing facilities. The European Commission (EC) H2020 Co-ReSyF (Coastal Waters Research Synergy Framework) project aims to tackle these issues, by developing a platform for combined data access, processing, visualisation and output in one place. The platform is based on cloud computing to maximise processing effort and task orchestration. Co-ReSyF will address issues faced by inexperienced and new EO researchers, and also target EO experts and downstream users, with main focus on enabling EO data access and processing for coastal and marine applications. Such a platform will revolutionise accessibility to Big EO Data, and help create a new era of EO data processing and exploitation in the coastal and marine environment.