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Nowadays Social Media becomes one of the major providers of Big Data for analysis of users' behaviour, focus, trends, and deviations. One user can be presented in several social networks by various avatars. Most users have different dynamics of data processing and generation. In order to provide a solution capable to deal with this, there was developed and implemented a software library for integration with a number of social networks. This paper describes the problem, solution architecture and technical details of its implementation supported by the results of simulation and real data analysis for a number of popular social networks.

Nowadays, the world is moving to automation. Appropriate programs for the implementation of industrial applications are developed by many companies. But is it so easy to implement systems capable of processing large amounts of information in production? Despite multiple positive results in research and development of Big Data technologies, their practical implementation and use remain challenging. At the same time most prominent trends of digital economy require Big Data analysis in various problem domains. We carried out the analysis of existing data processing works. Based on generalization of theoretical research and a number of real economy projects in this area there is proposed in this paper an architecture of a software development kit that can be used as a solid platform to build industrial applications. Was formed a basic algorithm for processing data from various sources (sensors, corporate systems, etc.). Examples are given for automobile industry with a reference of Industry 4.0 paradigm implementation in practice. The given examples are illustrated by trends graphs and by subject area ontology of the automotive industry. Data Science O L Surnin, P V Sitnikov , A A Khorina, A V Ivaschenko, A A Stolbova and N Yu Ilyasova V International Conference on "Information Technology and Nanotechnology" (ITNT-2019) 410 Data Science O L Surnin, P V Sitnikov , A A Khorina, A V Ivaschenko, A A Stolbova and N Yu Ilyasova

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