High Performance Systems of Processing and Analysis of Big Data : program of the course for students of specialty 122 “Computer Science” of the study programme “Computer Science” of the second (master's) study cycle
| dc.contributor.author | Minukhin S. V. |
| dc.description.abstract | The abstract, main tasks, purpose and subject of the discipline are presented. The competencies and learning outcomes for the acquisition of skills are presented. The content of the discipline by content modules and relevant topics is presented. The procedure and criteria for assessing learning outcomes based on current and final control are presented. A list of recommended reading is included. Recommended for students of specialty 122 “Computer Science” of the study programme “Computer Science” of the second (master's) study cycle. |
| dc.identifier.citation | High Performance Systems of Processing and Analysis of Big Data : program of the course for students of specialty 122 “Computer Science” of the study programme “Computer Science” of the second (master's) study cycle: [Electronic edition] / compiled by S.V. Minukhin. - Kharkiv: Simon Kuznets Kharkiv National University of Economics, 2024. - 15 p. (In English). |
| dc.identifier.uri | http://repository.hneu.edu.ua/handle/123456789/33950 |
| dc.language.iso | en |
| dc.subject | big data |
| dc.subject | processing |
| dc.subject | distributed system |
| dc.subject | performance |
| dc.subject | framework |
| dc.subject | Apache Hadoop |
| dc.subject | Apache Spark |
| dc.subject | MapReduce |
| dc.subject | HDFS |
| dc.subject | architecture |
| dc.subject | deployment mode |
| dc.subject | database |
| dc.subject | data warehouse |
| dc.subject | task scheduling |
| dc.title | High Performance Systems of Processing and Analysis of Big Data : program of the course for students of specialty 122 “Computer Science” of the study programme “Computer Science” of the second (master's) study cycle |
| dc.type | Other |
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