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Big Data Technologies. Lecture Notes
(Igor Sikorsky Kyiv Polytechnic Institute, 2025) Oleshchenko, Liubov
The tutorial is developed for acquaint students with theoretical information of programming technologies for big data processing, big data architectural models, virtualization technologies, container technologies for executing program code on the server. The purpose of the lecture notes is to provide knowledge of theoretical and practical basics of big data processing using Python and R programming languages, and also distributed data processing technologies. The tutorial includes the introduction and 18 sections devoted to a certain lecture. There are a plan, theoretical information, questions for self-assessment and a list of recommended literature are given as well. The textbook is intended for students majoring in F2 "Software Engineering" within the educational program "Software Engineering of Multimedia and Information Retrieval Systems" at the Faculty of Applied Mathematics, Igor Sikorsky Kyiv Polytechnic Institute.