Аңдатпа
Immersive data visualisation using virtual and augmented reality technologies opens up new possibilities for analysing large and complex multidimensional data in a Metaverse by solving the problems of traditional visualisation methods, such as limited spatial sensitivity, lack of interactivity, and low level of ability to visualise complex 3D data structures. This article discusses the implementation of an architecture and algorithms that provide distributed and parallel data processing with rendering optimisation in a virtual environment. A client-server solution is proposed using enhanced preprocessing, caching, data distribution and balancing algorithms, providing scalability, high performance and visualisation quality. Results show the reduction of load on the hardware part of the solution, representing significant progress in the field of data analysis, and discovering directions for further research which expands the capabilities of existing fields of science: Data Science, Big Data, Data Analytics, Virtual Reality/Augmented Reality/Extended Reality.