| Issue |
BIO Web Conf.
Volume 186, 2025
The 2nd International Seminar on Tropical Bioresources Advancement and Technology (ISOTOBAT 2025)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 7 | |
| Section | Socio-economics and Business Transformation in Tropical Bioresources | |
| DOI | https://doi.org/10.1051/bioconf/202518602009 | |
| Published online | 22 August 2025 | |
Big Data as the oil of the digital economy
1 Economics Department, 150100 Fergana Technical University, Uzbekistan
2 Economics Department, 170100 Andijan State Technical Institute, Uzbekistan
3 Civil Engineering Department, 170100 Andijan State Technical Institute, Uzbekistan
* Corresponding author: asqar.xasanboy7413@gmail.com
The rapid advancement of the information revolution has profoundly transformed global business and everyday life, placing data at the core of economic growth and innovation. Big Data, defined by its volume, velocity, variety, veracity, variability, and value, has emerged as a key resource of the digital economy, enabling organizations to identify trends, improve decision‑making, and develop new services. This paper explores the essence and structure of Big Data, highlighting technologies such as MapReduce, Hadoop, and cloud services, as well as analytical methods including data mining, text mining, call mining, and web mining. The study reviews the role of infrastructure providers, system integrators, data managers, and service developers in creating comprehensive Big Data ecosystems. Furthermore, it examines the development prospects of Big Data in Uzbekistan under the “Digital Uzbekistan – 2030” strategy, which aims to expand digital infrastructure, enhance e‑government, and integrate advanced technologies like artificial intelligence and blockchain to drive national economic growth. Effective implementation of Big Data is expected to increase GDP, improve operational efficiency across sectors, and strengthen Uzbekistan’s position in the global digital economy.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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