BIG DATA AND ANALYTICS

Authors

  • Mirzakarimov Baxtiyor Abdusalomovich “University of economics and pedagogy”NOTM, “Iqtisodiyot” kafedrasi v/b professor

Keywords:

Big data, volume, variety, velocity, SQL, NOSQL, Mapreduce, Hadoop, SAP XANA.

Abstract

 This article examines the concepts of big data and analytics, their evolution, and their application in contemporary business and scientific domains. Big data refers to datasets whose volume, variety, and velocity make them difficult to process using traditional database management systems. The article also addresses analytics—methods and technologies that support informed decision-making by extracting meaningful insights from large-scale data. The knowledge obtained through big data analytics can be effectively utilized to enhance competitiveness in business, drive innovation in scientific research, and stimulate socio-economic transformation within society.

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References

Viktor Mayer-Schönberger, Kenneth Cukier. Big Data: A Revolution That Will Transform How We Live, Work, and Think. John Murray, 2013.

Tom White. Hadoop: The Definitive Guide. O'Reilly Media, 2015.

Cathy O'Neil. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Publishing Group, 2016.

George Washington University. Big Data Analytics: Opportunities and Challenges. Springer, 2020.

M. M. Ganaie, P. S. Bhat, N. P. G. Ghimire. "Big Data Analytics and Applications." Springer Nature, 2019.

S. S. V. Babu, D. M. S. S. N. Rao. Big Data Analytics with Machine Learning. Wiley, 2020.

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Published

2025-12-07

How to Cite

Mirzakarimov Baxtiyor Abdusalomovich. (2025). BIG DATA AND ANALYTICS. International Multidisciplinary Journal for Research & Development, 12(12), 222–227. Retrieved from https://www.ijmrd.in/index.php/imjrd/article/view/4225