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Application of big data in the design of expert systems

The relevance of the topic considered in the article lies in solving the problems of designing expert systems for industrial enterprises based on big data technology. The purpose of the study is to analyze the applied methodologies at the design stage of an enterprise information system, to develop algorithms for the operation of an expert system with big data. A brief statement of the problem consists in analyzing the technologies available on the market for working with big data and the possibility of using them for expert systems, identifying the main stages of working with big data for industrial enterprises. In the modern world, the problem of using Big Data has become extremely urgent. Companies, firms and corporations that are leaders in the field of information technology and business conduct are busy looking for optimal solutions for managing a huge amount of constantly incoming information and its in-depth analysis. They are looking for ways to profit from the data at their disposal, trying to get new data from the existing ones. Developing your own expert system is more cost effective. Methods used - methods of analysis and design IDEF0, DFD, IDEF1, IDEF3, methods of functional (structural) design, methods of object-oriented design. The results obtained - a method of using big data to create an expert system for an industrial enterprise has been developed. Implementation of such an expert system on your own is much cheaper than purchasing ready- made software systems.