BIG DATA CONCEPTUAL MODEL
Big data conceptual model is proposed; it is abstract and generalized, but it allows us to understand the essences of the modeled object, and to serve as the basis for development of big data models for various subject areas. Purpose of the conceptual model is to conduct technical and economic research focused on improving the efficiency (monetization), and reducing the risks of implementing the big data technologies in the context of lack of information, undetermined and incorrect application of tasks. Big data processing problem is formulated. Features and difficulties of its formulation are shown. A set of parameters that make up the big data model, and criteria for its formation are proposed. Pilot and iterative nature of the developed model is noted.