Big data and analytics
Вантажиться...
Дата
2026
Автори
Науковий керівник
Назва журналу
Номер ISSN
Назва тому
Видавець
Igor Sikorsky Kyiv Polytechnic Institute
Анотація
The 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.
Опис
Ключові слова
Бібліографічний опис
Oleshchenko, 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.