Big data and analytics

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dc.contributor.authorOleshchenko, Liubov
dc.date.accessioned2026-06-22T11:51:49Z
dc.date.available2026-06-22T11:51:49Z
dc.date.issued2026
dc.description.abstractThe basics of big data analytics and its role in decision-making in business, science, and manufacturing are considered. Software methods for storing, processing, and analyzing big data are described, including Hadoop, Spark, Kafka, and Flink technologies. Examples of using the Python programming language for preprocessing and analytics of big data are given. The basic methods of visualization and statistical analysis of big data, machine learning algorithms, and artificial intelligence for big data analytics systems are considered. For students studying in specialty F2 "Software Engineering", the textbook provides theoretical knowledge and practical skills for solving professional and scientific problems that require processing and analytics of big data.
dc.format.extent317 p.
dc.identifier.citationOleshchenko, L. M. Big data and analytics [Electronic resource] : textbook for higher education students studying in the specialty F2 «Software Engineering» / L. M. Oleshchenko ; Igor Sikorsky Kyiv Polytechnic Institute. – Electronic text data (1 file: 9,65 MB). – Kyiv : Prosvita Ltd, 2026. – 317 p. – Title from the screen.
dc.identifier.isbn978-617-7010-42-4
dc.identifier.orcid0000-0001-9908-7422
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/81869
dc.language.isoen
dc.publisherIgor Sikorsky Kyiv Polytechnic Institute
dc.publisher.placeKyiv
dc.subject.udc004.65+004.89](075.8)
dc.titleBig data and analytics
dc.typeBook

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