The article presents a comparative analysis of linear and nonlinear data structures using the Python and Java programming languages in the context of distributed systems. The impact of the choice of structure on performance, scalability, and data consistency when working with distributed databases and blockchain technologies is considered. The key characteristics of data structures and storages are compared, and their advantages and limitations in various information processing scenarios are assessed. The study allows us to determine the optimal approaches to building effective data storage and processing systems.
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