Cloud Intelligence emerges from the migration of BI and analytics technologies to a cloud computing environment while exploiting the associated new opportunities. A multitude of different types of data exist in the cloud, including structured, relational data, multidimensional cube data, text data, semantic Web XML/RDF/OWL data, geo‐related data, and sensor data. To achieve true Cloud Intelligence, all these types of data/models must be integrated and analysed in a coherent fashion that also is capable of handling the Big Data amounts found in the cloud. The vision is to develop a platform that enables a "cloud warehouse" (CW) that can be offered as a "pay-as-you-go-service" by a third-party provider rather than being built in-house. Such a platform will be based on a novel data model developed in the project. The data model combines concepts from the advanced multidimensional models, flexibility from Semantic Web data models, and support for the wide range of data and functionality mentioned above. The project will further develop a powerful query language for the model, implement the functionality on a suitable cloud platform, and consider query processing and optimizations.

Main Advisor at Aalborg Universitet (AAU)
Co-advisor at Universitat Politècnica de Catalunya (UPC)