| Sumario: | As the datasets often available in many disciplines and application areas exponentially grow thanks to the increasing availability of novel sensors and computational resources, there is nowadays still a need to develop novel approaches, methods and computational frameworks to deal with the high volumes and variety of the large data sources generated in many fields. The range of research challenges still opened are extremely large, from the representation, integration, storage, manipulation, data mining and visualization techniques to the development of secure computing architectures, cloud and distributed computing platforms to highly scalable storage systems. Clearly, big data challenges should require novel approaches and success stories should be shared, this favoring exchanges, cross-fertilization and finally advances as well as future research directions to consider.
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