Cloud Computing and Big Data (122 КН)

Тип: На вибір студента

Кафедра: системного проектування

Навчальний план

СеместрКредитиЗвітність
97Залік

Лекції

СеместрК-сть годинЛекторГрупа(и)
932доцент Павлишенко Б. М.ФеІм-12

Лабораторні

СеместрК-сть годинГрупаВикладач(і)
948ФеІм-12доцент Павлишенко Б. М., доцент Павлишенко Б. М.

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 the big data and cloud computing.
The secondary aims: to be able mastering 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/

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