Towards a reference model for big data management
A research question in the area of big data is how to create value from it. This paper introduces a design for a management meta-model that can be used as a frame of reference for big data practitioners and researchers who aim at value creation from data. To this end, first, the state of the art in big data management is investigated. Then, because knowledge is central to value creation from data, an epistemological model is presented that is used as a blueprint to be instantiated in a business intelligence model. This model divides the data value creation process into five layers: Integration, Analytics, Interaction, Effectuation, and Intelligence. To close the link to information technology, each of these layers is subdivided into business and technological aspects, and specific examples are provided to concretize the reference model. The resulting Big Data Management Meta-Model BDMcube can be instantiated by concrete big data management models, either to classify and extend existing models, or to derive new big data management models for future big data projects.
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