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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


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.


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


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[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.

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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.


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