Integration Issues of Big Data Analysis on Social Networks

Ivaschenko, Anton; Ilyasova, Nataly; Khorina, Anastasia; Isayko, Vladislav; Krupin, Daniil; Bolotsky, Viktor; Sitnikov, Pavel; Code”, Yarmarochnaya Str. Ipsi Sec “Open

doi:10.18287/1613-0073-2018-2212-248-254

Cited by 1 publication

(1 citation statement)

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“…The challenges are related to the requirement to use unified and integrated software services based on a reliable platform, instead of developing individual algorithms and software solutions. To cover this gap in this article, it is proposed to summarize existing experience in this area [1,2] and develop an architectural solution for a software development kit that can be used as a reliable platform for building industrial applications.…”

Section: Introductionmentioning

confidence: 99%

Industrial application of big data services in digital economy

Surnin¹,

Code”²,

Sitnikov

et al. 2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

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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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Section: Introductionmentioning

confidence: 99%