COMPARATIVE ANALYSIS OF MODERN METHODS AND TOOLS FOR BIG DATA VISUALIZATION
Fakhriddin NuraliyevDoctor of Technical Sciences, Professor, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Department of "Television and Media Technologies", Tashkent, UzbekistanFarhod HotamovDoctoral Student, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Department of "Television and Media Technologies", Tashkent, UzbekistanZuxra MuxamedjonovaMaster's student, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Department of "Television and Media Technologies", Tashkent, Uzbekistan
Zenodo (CERN European Organization for Nuclear Research)repository2026
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This article examines modern technologies and software tools used in the process of Big Data visualization. A comparative analysis of Tableau, Microsoft Power BI, Python visualization libraries, Google Data Studio, Apache Spark and R language is conducted. The research findings indicate that the selection of a visualization tool is directly dependent on data volume, processing speed, real-time analysis capability and the degree of integration with other systems.
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