The technologies of the Big Data world have been developed to effectively address an array of issues for which the classic tools of Data Management, data analysis and model development, are not seemingly appropriate. These powerful and contemporary tools have been therefore developed to manage manifold data, both in the form of absolute quantity and in the accentuating the speed of the flow, as in the case of streaming analytics. This operating framework, for example, presents some difficulty, both from the point of view of storage, due to high costs and data ingestion, as it requires the use of ad hoc architectures, but above all it poses stimulating challenges in the development of efficacious and robust models that can be utilised on a host of non-static, but dynamic data.