METHODOLOGIES AND INDICATORS FOR BIG DATA MEASUREMENT

  • Макруфа Шaриф кызы Гаджирагимова Institute of Information Technology of Azerbaijan National Academy of Sciences
  • Айбениз Салман Алиева Institute of Information Technology of Azerbaijan National Academy of Sciences

Abstract

The İnternet of Things, cloud computing and the development of social networking technologies caused rapid increase in the volume of data and the formation of Big Data paradigm. Increasing the volume, speed, diversity and value of Big Data began to play an important role in the creation of social relationships, competitive advantage and innovative fields. The application of human activity in different spheres required the quantitative and qualitative assessment of Big Data. In this article some approaches relate to the definition of Big Data have been reviewed. Methodological approaches and indicators for measuring Big Data have been researched. At the end, the indicators have been proposed for the measurement of factors that affected the growth and development of Big Data.

Author Biographies

Макруфа Шaриф кызы Гаджирагимова, Institute of Information Technology of Azerbaijan National Academy of Sciences

Candidate of Technical (Engineering) Sciences, associate professor, project chief engineer at the Institute; teaches at the Training Innovation Center of the Institute

Айбениз Салман Алиева, Institute of Information Technology of Azerbaijan National Academy of Sciences

researcher, senior researcher

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Published
2017-08-18
How to Cite
ГАДЖИРАГИМОВА, Макруфа Шaриф кызы; АЛИЕВА, Айбениз Салман. METHODOLOGIES AND INDICATORS FOR BIG DATA MEASUREMENT. Modern Information Technologies and IT-Education, [S.l.], v. 13, n. 2, p. 81-88, aug. 2017. ISSN 2411-1473. Available at: <http://sitito.cs.msu.ru/index.php/SITITO/article/view/239>. Date accessed: 29 aug. 2025. doi: https://doi.org/10.25559/SITITO.2017.2.239.