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Distributed data processing (pdf)

Distributed data processing (pdf)

Распределенная обработка данных (pdf)
ISBN: 978-5-19-011913-8 (e-book) publication date: 2023 format: Электронное издание сетевого распространения pages': 28
Abstract
Published by decision of the Editorial and Publishing Council of the Faculty of Computational Mathematics. The manual is devoted to processing large volumes of data stored distributedly on computer system nodes. The main approaches to data replication and partitioning are considered. Much attention is paid to methods for synchronizing components of distributed systems, the basics of blockchain technology are outlined, as well as the basic technology of distributed data processing MapReduce. This manual is intended for undergraduate students studying in the direction of 03/01/02. Applied Mathematics and Computer Science and can also be used as an introductory course for those planning to major in data analytics, data engineering, and related fields.
To cite this article
Nikolsky, I. M. Distributed data processing: educational manual. - Moscow: Moscow University Publishing House, 2023. - 28, [1] p. — Electronic publication of network distribution. — (Library of the Faculty of Computational Mathematics and Cybernettics of Moscow State University).
About the author
Nikolskiy Ilya M.

PhD in Physico-Mathematical Sciences,

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