DB Technologies for Big Data
The course is not on the list Without time-table
| Code | Completion | Credits | Range |
|---|---|---|---|
| BI-BIG | KZ | 4 | 2P+2C |
- Garant předmětu:
- Lecturer:
- Tutor:
- Supervisor:
- Department of Software Engineering
- Synopsis:
-
This course is presented in Czech.
- Requirements:
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
- Study materials:
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Zikopoulos, Paul, and Chris Eaton. Understanding big data: Analytics for enterprise class hadoop and streaming data. McGraw-Hill Osborne Media, 2011.
- Note:
- Further information:
- https://courses.fit.cvut.cz/BI-BIG/
- No time-table has been prepared for this course
- The course is a part of the following study plans:
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- Bachelor program Informatics, unspecified branch, in Czech, 2015-2020 (VO)
- Bachelor branch Security and Information Technology, in Czech, 2015-2020 (elective course)
- Bachelor branch Computer Science, in Czech, 2015-2020 (elective course)
- Bachelor branch Computer Engineering, in Czech, 2015-2020 (elective course)
- Bachelor branch Information Systems and Management, in Czech, 2015-2020 (elective course)
- Bachelor branch Web and Software Engineering, spec. Software Engineering, in Czech, 2015-2020 (elective course)
- Bachelor branch Web and Software Engineering, spec. Web Engineering, in Czech, 2015-2020 (compulsory course of the branch)
- Bachelor branch Web and Software Engineering, spec. Computer Graphics, in Czech, 2015-2020 (elective course)
- Bachelor branch Knowledge Engineering, in Czech, 2018-2020 (compulsory course of the specialization)