Perspectives on Learning Apache Hadoop for Big Data Analysis in Universities
Analyzing Big Data processing technologies and providing practical guidance on installing and working with Apache Hadoop for its application in universities. Big Data technologies offer solutions in various economic sectors, making knowledge of Apache Hadoop essential for students. Launching the Hadoop ecosystem in educational settings brings benefits like improved information storage and enhanced employability.
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II INTERNATIONAL CONFERENCE II INTERNATIONAL CONFERENCE Krasnoyarsk, RUSSIA Krasnoyarsk, RUSSIA 8 8- -10 December 2022 10 December 2022 ASEDU ASEDU- -III 2022: Advances in Science, Engineering and III 2022: Advances in Science, Engineering and Digital Education Digital Education The Perspectives of Learning the Apache Hadoop The Perspectives of Learning the Apache Hadoop Big Data Analysis Ecosystem in Universities. Big Data Analysis Ecosystem in Universities. Developing Practical Guidance Developing Practical Guidance A Ostapenko, A Murina, I Umanets, N Barsukova, N Didukh A Ostapenko, A Murina, I Umanets, N Barsukova, N Didukh
02 Problem statement The purpose of this paper is to analyze Big Data processing technologies as well as to develop practical guidance to installing and working with the Apache Hadoop big data analysis ecosystem for its perspective application in universities. Specialists in the field of big data are in great demand, and with knowledge irreplaceable, since this system is fundamental and simpler analogues are based on it. This article can be used as the practical guidance to familiarize students with Apache Hadoop technology, as well as to provide theoretical material on Big Data technology. of Hadoop they are
03 Big Data refers to a set of methods for processing large volumes of diverse data that are too complex to be dealt with by traditional methods. But we successfully employed a specialist approach which includes interface methods, constructor methods, and implementation methods. Big Data are used for better solutions in all spheres of economic activity: Product decision making; Marketing; Healthcare; Customer experience; Machine learning Thus, the knowledge of Apache Hadoop big data analysis ecosystem has great perspectives for universities Solution methods application it in
03 The basic principles of working with "Big data" were formulated; The key definitions were given; The detailed instructions operating "Apache Hadoop" were developed. Results: for installing and
03 Launching the Hadoop big data analysis Results: ecosystem in educational process students and graduates will have: great amount of benefits for storing and finding any kind of information; bigger opportunities to meet the employer s requirement and be competitive at job hiring.
04 The aspects of Big Data information technology was considered. Conclusion: The basic principles of working with "Big data" were formulated The key definitions were given. In the research the basic principles of working with "Big data" were formulated as well as the key definitions were given. Moreover, the paper deals with the Apache Hadoop ecosystem. Due to a large number of different components and solutions, as well as the active support of the platform developers community, the system provides ample opportunities for analyzing and storing data of any size and type. Therefore the Apache Hadoop big data analysis ecosystem needs to be learned at universities as it has benefits to improve professionalqualification of graduates. The paper deals with the Apache Hadoop big data analysis ecosystem. The paper justifies the need for learning universities, as it provides ample opportunities for analyzing and storing data of any size and type. the system at big data analysis Hadoop has great perspectives for educational using as it is a fundamental big data processing technology. Detailed instructions for installing and operating "Apache Hadoop" were developed to raise the awareness of ordinary users regarding this ecosystem.
II INTERNATIONAL CONFERENCE II INTERNATIONAL CONFERENCE Krasnoyarsk, RUSSIA Krasnoyarsk, RUSSIA 8 8- -10 December 2022 10 December 2022 05 Contacts A. Ostapenko A. Ostapenko 1,6, A . Murina , A . Murina2, I . Umanets , I . Umanets3, N . Barsukova , N . Barsukova4, N . Didukh , N . Didukh5 1PhD (Social Sciences), Associate Professor, Pacific National University, 136 Tikhookeanskaya Street, Khabarovsk, 680035, Russia 2 Master s Student, Pacific National University, 136 Tikhookeanskaya Street, Khabarovsk, 680035, Russia 3 PhD (Social Sciences), Associate Professor, Head of the Department of Foreign Languages, Pacific National University, 136 Tikhookeanskaya Street, Khabarovsk, 680035, Russia 4 PhD (Pedagogical Sciences), Associate Professor, Pacific National University, 136 Tikhookeanskaya Street, Khabarovsk, 680035, Russia 5 PhD (Social Sciences), Associate Professor, Pacific National University, 136 Tikhookeanskaya Street, Khabarovsk, 680035, Russia 6 E-mail: 009098@pnu.edu.ru ASEDU ASEDU- -III 2022: II International Conference on III 2022: II International Conference on Advances in Science, Engineering and Digital Education Advances in Science, Engineering and Digital Education
