Статья 'Конвергентная платформа для анализа больших данных в процессе исследования инновационной системы региона ' - журнал 'Теоретическая и прикладная экономика' - NotaBene.ru
Journal Menu
> Issues > Rubrics > About journal > Authors > About the Journal > Requirements for publication > Editorial collegium > Peer-review process > Policy of publication. Aims & Scope. > Article retraction > Ethics > Online First Pre-Publication > Copyright & Licensing Policy > Digital archiving policy > Open Access Policy > Open access publishing costs > Article Identification Policy > Plagiarism check policy > Editorial Board
Journals in science databases
About the Journal

Публикация за 72 часа - теперь это реальность!
При необходимости издательство предоставляет авторам услугу сверхсрочной полноценной публикации. Уже через 72 часа статья появляется в числе опубликованных на сайте издательства с DOI и номерами страниц.
По первому требованию предоставляем все подтверждающие публикацию документы!
MAIN PAGE > Back to contents
Theoretical and Applied Economics

Convergent platform for big data analysis in the process of researching the innovative system of the region

Finogeev Aleksey Germanovich

Doctor of Technical Science

Professor of the Department of CAD at Penza State University

440028, Russia, Penzenskaya oblast', g. Penza, ul. Krasnaya, 40

Другие публикации этого автора

Gamidullaeva Leila Ayvarovna

Doctor of Economics

Professor, the department of Management and Economic Security, Penza State University

440039, Russia, Penzenskaya oblast', g. Penza, ul. Krasnaya, 40

Другие публикации этого автора

Vasin Sergey Mikhailovich

Doctor of Economics

professor of the Department of Economic Theory and International Relations at Penza State University

440039, Russia, Penza Region, Penza, str. Krasnaya, 40

Другие публикации этого автора

Shmid Alexander Viktorovich

Doctor of Technical Science

Professor, the department of Information and Analytical Systems, “EC-Leasing” CJSC

440039, Russia, Russia oblast', g. Moscow, ul. Tallinskaya, 34, of. 435




Review date:


Publish date:



Ubiquitous implementation of the modern technologies of digital economy allows eliminating a number of barriers that impede the growth of economic activity of economic actors, as well as decreasing high transaction expenses that hinder interaction between the participants of economic processes. The article examines the questions of creation of the information analytical platform for big data collection and processing for the purpose of researching the innovative development processes of the regional economic agents on the basis of convergent approach. The platform is intended for modular integration of instrumental means that resolve the tasks of searching, collection, processing and upload of data for intellectual analysis of the indicators of innovative activity of enterprises. The results of intellectual analysis are used for the assessment and forecast modelling of the dynamics of integral criteria of the regional innovative development, identification of innovative leaders, comparative benchmarking analysis between economic agents and leaders, synthesis of cybersocial strategies for managing the mechanisms of innovative development and formulation of recommendations on enhancing the efficiency of innovative activity of enterprises. The authors conduct the analysis of convergent and hyper-convergent systems, as well as substantiate the need for creation of the convergent platform for collection and analytical processing of big data regarding the innovations and innovative enterprises in the regions. The authors propose the principles of structuring the dataflow architecture of data integration system for solving the tasks of searching, parallel processing and upload of information onto cloud storage and distributed register. The key components of the convergent information analytical platform are being reviewed.

Keywords: Big Data, intellectual analysis, convergent platform, convergence, syber-social system, digitalization, innovation, innovation system, regional system, transaction costs
This article written in Russian. You can find full text of article in Russian here .

Gamidullaeva, L.A. Instituty v razvitii innovatsionnykh sistem. Journal of Economic Regulation. 2016. T. 7. № 1. S. 93-103.
Novye metody raboty s bol'shimi dannymi: pobednye strategii upravleniya v biznes-analitike: Nauchno-prakticheskii sbornik / A. V. Shmid i dr., M.: PAL''MIR, 2016. – 528s.
Bershadskii A.M., Berezin A.A., Finogeev A.G. Informatsionnoe obespechenie instrumental'nykh sredstv prinyatiya reshenii po upravleniyu konkurentosposobnost'yu // Russian journal of management M.: Izdatel'skii Tsentr RIOR.-2017.-t. 5.-№ 3. – s. 490-493.
Bainbridge, M.S., Roco, M.C. Managing Nano-Bio-Info-CognoInnovations : Converging Technologies in Society. NY: Springer, 2005. 390 p.
Finogeev A.G. Proactive Urban Computing: an Active Agent-Based Concept and Methods / D. Parygin, M. Shcherbakov, N. Sadovnikova, A. Kravets, A. Finogeev // SMART-2017 : Proceedings of the 6th International Conference on System Modeling & Advancement in Research Trends, Moradabad, India, 29–30 December 2017. – IEEE, 2017. – P. 219–226.
Roco M., Bainbridge W. Converging Technologies for Improving Human Performance: Nanotechnology, Biotechnology, Information Technology and Cognitive Science. Arlington, 2004. URL:http://www.wtec.org/ConvergingTechnologies/Report/NBIC_report.pdf
Lee Chul, Park Gunno ,KangJina The impact of convergence between science and technology on innovation, The Journal of Technology Transfer, 2016, p. 1 – 23
Finogeev A.G. Modelirovanie issledovaniya sistemno-sinergeticheskikh protsessov v informatsionnykh sredakh: Monografiya, Penza: Izd-vo PGU, 2004, 223 s.
Finogeev, A.G., Parygin, D.S. & Finogeev, A.A. (2017) The convergence computing model for big sensor data mining and knowledge discovery / Human-centric Computing and Information Sciences.-Vol. 7. – p. 11. doi:10.1186/s13673-017-0092-7. URL: http://link.springer.com/content/pdf/10.1186%2Fs13673-017-0092-7.pdf.
Finogeev A.G. Monitoring of social reactions to support decision making on issues of urban territory management /S. Ustugova, D. Parygin, N. Sadovnikova, A. Finogeev, A. Kizim// Procedia Computer Science: Proceedings of the 5th International Young Scientist Conference on Computational Science, YSC 2016, Krakow, Poland, 26-28 October 2016. – Elsevier, 2016. – Vol. 101. – P. 243-252.
Liu Z. et al. Cyber-physical-social systems for command and control //IEEE Intelligent Systems. – 2011. – T. 26. – №. 4. – S. 92-96.
Broderick, Katherine and Scaramella, Jed. (2010) "Considering All of IT: Converged Infrastructure Survey Findings," IDC, June 2010,
George J. Weiss (2015). "Plan Now for the Future of Converged Infrastructure". Gartner. Retrieved 8 February 2016
Patrick Hubbard. "Hyper-converged infrastructure forcing new thinking for networks". Techtarget. Retrieved 8 February 2016, Darryl K. Taft. "IBM Sees Flash, Hyper-convergence Among Top 2016 Storage Trends". Eweek. Retrieved 8 February 2016
Cait kompanii Forrester Research. [Elektronnyi resurs] www.forrester.com [Data obrashcheniya: 10.06.18]
Whiteley, Robert. Forrester Research."Your Next IT Budget: 6 Ways to Support Business Growth," CIO Magazine Archived 2011-07-21 at the Wayback Machine., July 21, 2010
John Rollason (5 June 2017). "Introducing NetApp Enterprise-Scale HCI: The Next Generation of Hyper Converged Infrastructure". NetApp. Archived from the original (url) on 2018-01-23. Retrieved 13 January 2018
Cait korporatsii Teradata. [Elektronnyi resurs] https://www.teradata.ru/ [Data obrashcheniya: 10.06.18]
Exadata, Exalogic, Exalytics) [Osborne, Kerry; Johnsn, Randy and Põder Tanel. Expert Oracle Exadata. — N. Y.: Apress, 2011. — 500 p.
Plunkett, Tom; Palazzolo, TJ; Joshi, Tejas. Oracle Exalogic Elastic Cloud Handbook. — N. Y.: McGraw-Hill, 2011. — 432 p.
White, Tom. Hadoop: The Definitive Guide. — 2-nd edition. — Sebastopol: O’Reilly Media, 2011. — 600 p.
Big Data Analytics. [Elektronnyi resurs] http://www.ibm.com/big-data/us/en/conversations/ [Data obrashcheniya: 10.06.18]
Blokchein platformy. [Elektronnyi resurs] http://smart-contracts.ru/platforms.html [Data obrashcheniya: 10.06.18]
Mkrttchian, V., Bershadsky, A., Finogeev, A., Berezin, A., Potapova, I. (2017). Digital Model of Bench-Marking for Development of Competitive Advantage (279-300pp.). In Pedro Isaias and Luisa Carvalho (Eds). User Innovation and the Entrepreneurship Phenomenon in the Digital Economy. Hershey, PA, USA: IGI Global.-Chapter 14. – P. 288-304. DOI: 10.4018/978-1-5225-2826-5. URL: https://www.igi-global.com/chapter/digital-model-of-bench-marking-for-development-of-competitive-advantage/189823
Kimball R. The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data / R. Kimball, J. Caserta. – Wiley Publishing Inc., 2004.
Goma Kh. UML. Proektirovanie sistem real'nogo vremeni, parallel'nykh i raspredelennykh prilozhenii: Per. s angl. – M.: DMK Press. – 704s.
Kreg Larman. Primenenie UML 2.0 i shablonov proektirovaniya = Applying UML and Patterns : An Introduction to Object-Oriented Analysis and Design and Iterative Development. — M.: «Vil'yams», 2006. — S. 736.
Lychagin K.A., Pozin B.A. // Ustoichivaya k izmeneniyam arkhitektura sistemy integratsii dannykh RBP-SUZ-2011: Materialy konferentsii / MESI – M, 2011, s.190-194
Finogeev A.G., Vasin S.M., Gamidullaeva L.A., Finogeev A.A. Tekhnologiya smart kontraktov na osnove blokchein dlya minimizatsii transaktsionnykh izderzhek v regional'nykh innovatsionnykh sistemakh // Voprosy bezopasnosti. — 2018.-№ 3.-S.34-55. DOI: 10.25136/2409-7543.2018.3.26619. URL: http://e-notabene.ru/nb/article_26619.html
Link to this article

You can simply select and copy link from below text field.

Other our sites:
Official Website of NOTA BENE / Aurora Group s.r.o.
"History Illustrated" Website