PROGRAMMING AND DIGITAL TECHNOLOGIES IN BIG DATA ANALYSIS
Keywords:
Big data, analysis, programming languages, python, java, scala, digital technologies, databases, machine learning, decision making, innovation, efficiency.Abstract
This paper examines the importance of programming and digital technologies in big data analysis. Big data plays an important role in the modern economy, and programming languages such as Python, R, Java, and Scala are used to analyze it. Digital technologies, including databases and machine learning algorithms, enable efficient data analysis. The article highlights the benefits of big data analytics, including supporting improved decision-making and innovation.
References
1.Alimov, A. (2020). Big Data: Challenges and Opportunities. Tashkent: Gafur Ghulam Literature Publishing House.
2.Atajonov, Sh. (2021). Fundamentals of Programming. Tashkent: Tashkent State University of Economics.
3.Mamajonov, B. (2019). Modern Methods in Data Analysis. Tashkent: Higher Education Publishing House.
4.Mirzajonova, Z. (2022). Digital Technologies and Their Role in Social Development. Tashkent: Information Technologies and Communications Agency of the Republic of Uzbekistan.
5.Sa’dullaev, N. (2018). Machine Learning Methods in Big Data Analysis. Tashkent: Center for Innovative Development.
6.Tursunov, A. (2020). Data Visualization Technologies. Tashkent: Ministry of Higher and Secondary Specialized Education.
7.Khamidov, I. (2023). Analytical Software and Its Economic Efficiency. Tashkent: National University of Uzbekistan.