Cloud Computing and Big Data (122 КН)
Тип: На вибір студента
Кафедра: system design
Навчальний план
| Семестр | Кредити | Звітність |
| 9 | 7 | Залік |
Лекції
| Семестр | К-сть годин | Лектор | Група(и) |
| 9 | 32 | доцент Pavlyshenko B. M. | ФеІм-12 |
Лабораторні
| Семестр | К-сть годин | Група | Викладач(і) |
| 9 | 48 | ФеІм-12 | доцент Pavlyshenko B. M., доцент Pavlyshenko B. M. |
Опис навчальної дисципліни
The course is designed to provide participants with the knowledge to accumulate, process, and analyze Big Data.
The main aim: is to acquire knowledge of big data and cloud computing.
The secondary aim is to be able to master the modern technologies of big data and use them for processing in cloud environments.
Рекомендована література
Basic literature:
- 1. Apache Hadoop documentation [Electronic resource] // Apache Hadoop. – 2021. – Resource access mode: https://hadoop.apache.org/docs/stable/.
- 2. Apache Spark documentation [Electronic resource] // Apache Spark. – 2019. – Resource access mode: https://spark.apache.org/docs/latest/.
- 3. HBase documentation [Electronic resource] // HBase. – 2019. – Resource access mode: https://hbase.apache.org/book.html.
- 4. RabbitMq [Electronic resource] // RabbitMq. – 2020. – Resource access mode: https://www.rabbitmq.com/documentation.html.
- 5. Ifeyinwa A. A. Big Data and Business Analytics: Trends, Platforms, Success Factors and Applications / A. A. Ifeyinwa, H. N. Friday. – Nigeria: Abakaliki, 2019. – 30 p.
- 6. Cloud Computing for Science and Engineering. – [Access mode]: https://cloud4scieng.org/chapters/