Data architecture (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 | професор Ohirko I. V. | ФеІм-12 |
Лабораторні
Семестр | К-сть годин | Група | Викладач(і) |
9 | 48 | ФеІм-12 | професор Ohirko I. V., професор Ohirko I. V. |
Опис навчальної дисципліни
The course is designed to provide participants with the necessary knowledge and practical skills to separate data in working with real data. Typical standards and data storage locations will be discussed in a clear combination with real data analytics tasks and typical examples. Consideration of models, policies, rules, or standards that define what data is collected and how it is stored, housed, integrated, and used for use in data systems and organizations.
data systems and organizations.
The purpose and objectives of teaching the discipline are to form a system of fundamental knowledge about the structure of data separation in modern processes, as well as approaches to data architectural planning.