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The unprecedented volume, diversity and richness of aviation data that can beacquired, generated, stored, and managed provides unique capabilities for theaviation-related industries and pertains value that remains to be unlocked withthe adoption of the innovative Big Data Analytics technologies. Despite thelarge efforts and investments on research and innovation, the Big Datatechnologies introduce a number of challenges to its adopters. Besides theeffective storage and access to the underlying big data, efficient dataintegration and data interoperability should be considered, while at the sametime multiple data sources should be effectively combined by performing dataexchange and data sharing between the different stakeholders. However, thisreveals additional challenges for the crucial preservation of the informationsecurity of the collected data, the trusted and secure data exchange and datasharing, as well as the robust data access control. The current paper aims tointroduce the ICARUS big data-enabled platform that aims provide a multi-sidedplatform that offers a novel aviation data and intelligence marketplaceaccompanied by a trusted and secure analytics workspace. It holisticallyhandles the complete big data lifecycle from the data collection, data curationand data exploration to the data integration and data analysis of dataoriginating from heterogeneous data sources with different velocity, varietyand volume in a trusted and secure manner.

A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry