Cloud Computing and Big Data (122 КН)
Type: For the student's choice
Department: system design
Curriculum
| Semester | Credits | Reporting |
| 9 | 7 | Setoff |
Lectures
| Semester | Amount of hours | Lecturer | Group(s) |
| 9 | 32 | Associate Professor Pavlyshenko B. M. | ФеІм-12 |
Laboratory works
| Semester | Amount of hours | Group | Teacher(s) |
| 9 | 48 | ФеІм-12 | Associate Professor Pavlyshenko B. M., Associate Professor 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.
Recommended Literature
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/