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Study and Comparative Analysis of Programming Languages Used for Big Data

Shafagat Mahmudova

Shafagat Mahmudova 1


  1. SE Department, Institute of Information Technology of ANAS, Baku, Azerbaijan. 1

on Google Scholar
on PubMed

Pages: 1-9

DOI: 10.18488/journal.79.2021.81.1.9

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Article History:

Received: 18 September, 2020
Revised: 02 December, 2020
Accepted: 21 December, 2020
Published: 05 January, 2021


Abstract:

This article provides information about the industrial revolutions and analyzes the Fourth Industrial Revolution. The Fourth Industrial Revolution takes away the potential risks of unsustainable growth and world systems, and its coming is estimated as a challenge. The main technologies of the Fourth Industrial Revolution are identified. Big data technologies enable to handle different types of data at the same time. Big data is very important among technologies. The difference between big data and usual data is that the volume of Big Data starts at terabytes. The types technologies used for big data are explained. The programming languages used for big data are extensively analyzed. Their similarities and differences are compared. Big data will be among the most required information technologies. The article analyzes the literature in this area and data analysis methods for Big data. There are other criteria that emphasize the need for new methods to work with big data.
Contribution/ Originality
The study also contributes the exploration of the types of technologies used for big data.

Keywords:

Big data, IoT, 3D printing, Blockchain, Quantum calculations, Technology, Programming languages, MapReduce algorithm, Machine learning.

Reference:

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[2]          L. Stepan, "The end of the analog world: Industry 4.0, or what the fourth industrial revolution will bring. Retrieved from: https://theoryandpractice.ru/  [Accessed 21.09.2016]," 2016.

[3]          Chetvertaya Promyshlennaya Revolyutsiya, Tselevyye oriyentiry razvitiya promyshlennykh tekhnologiy i innovatsiy. Vsemirnyy ekonomic news forum: McKinsey & Company, 2019.

[4]          M. Sergey, "4-ya promyshlennaya revolyutsiya v Davose. Retrieved from: https://expert.ru/2016/01/21/chetvertaya-promyishlennaya-revolyutsiya/ (accessed 21 yanvar '2016)," 2016.

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[9]          S. Mahmudova, "Big data challenges in biometric technology," Education and Management Engineering, vol. 5, pp. 15-23, 2016.Available at: 10.5815/ijeme.2016.05.02.

[10]        P. Ian, "Which freaking big data programming language should I use?," InfoWorld, 2016.

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[12]        S. Bjarne, Programming: Principles and Practice of Use C++, ispravlennoye izdaniye = Programming: Principles and Practice Using, 248 ed. Moscow: Vilyams, 2011.

[13]        S. Bjarne, "The design and evolution of C++’," ed USA: Addison–Wesley, 2007, p. 445.

[14]        J. Kabugo, J. S. Jamsa, R. Schiemann, and C. Binder, "Industry 4.0 based process data analytics platform: A waste-to-energy plant case study," International Journal of Electrical Power & Energy System, vol. 115, pp. 1-18, 2019.Available at: 10.1016/j.ijepes.2019.105508.

[15]        K. Dehdouh, B. O., and B. F., "Big data warehouse: Building columnar NoSQL OLAP cubes," International Journal of Decision Support System Technology, vol. 12, pp. 1-24, 2020.Available at: 10.4018/IJDSST.2020010101.

[16]        M. Grzenda and J. Legierski, "Towards increased understanding of open data use for software development," Information Systems Frontiers, vol. 19, pp. 197–212, 2019.Available at: 10.1007/s10796-019-09954-6.

[17]        S. Gnatyuk, V. Kinzeryavyy, T. Sapozhnik, I. Sopilko, N. Seilova, and A. Hrytsak, "Modern method and software tool for guaranteed data deletion in advanced big data systems," in Proc Appeared in Proceedings of the 2nd International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE), Moscow, Russia, 2020, pp. 581-590.

[18]        G. Chai, "The research on core development technology of security big data application platform," Advances in Intelligent Systems and Computing, vol. 928, pp. 479-486, 2020.Available at: 10.1007/978-3-030-15235-2_70

[19]        A. Muruganantham, E. Phong Thanh Nguyen, L. Laxmi, K. Shankar, H. Wahidah, and M. Andino, "Big data analytics and intelligence: A perspective for health care," International Journal of Engineering and Advanced Technology, vol. 8, pp. 861-864, 2019.

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Statistics:

Google Scholor ideas Microsoft Academic Search bing Google Scholor

Funding:

This study received no specific financial support.

Competing Interests:

The author declares that there are no conflicts of interests regarding the publication of this paper.

Acknowledgement:


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