Please use this identifier to cite or link to this item:
https://repository.hneu.edu.ua/handle/123456789/33950Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Minukhin S. V. | - |
| dc.date.accessioned | 2024-10-14T20:24:28Z | - |
| dc.date.available | 2024-10-14T20:24:28Z | - |
| dc.date.issued | 2024 | - |
| 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). | ru_RU |
| dc.identifier.uri | http://repository.hneu.edu.ua/handle/123456789/33950 | - |
| 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. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.subject | big data | ru_RU |
| dc.subject | processing | ru_RU |
| dc.subject | distributed system | ru_RU |
| dc.subject | performance | ru_RU |
| dc.subject | framework | ru_RU |
| dc.subject | Apache Hadoop | ru_RU |
| dc.subject | Apache Spark | ru_RU |
| dc.subject | MapReduce | ru_RU |
| dc.subject | HDFS | ru_RU |
| dc.subject | architecture | ru_RU |
| dc.subject | deployment mode | ru_RU |
| dc.subject | database | ru_RU |
| dc.subject | data warehouse | ru_RU |
| dc.subject | task scheduling | ru_RU |
| 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 | ru_RU |
| dc.type | Other | ru_RU |
| Appears in Collections: | Методичні матеріали (ІС) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| доп.план.поз.3_ОК6_Високопродуктивні_системи_обробки_та_аналізу_даних_122_АНГЛ.pdf | 1,54 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.