DB Technologies for Big Data

Code	Completion	Credits	Range
BI-BIG	KZ	4	2P+2C

Garant předmětu:

Monika Borkovcová

Lecturer:

Monika Borkovcová, Josef Gattermayer

Tutor:

Monika Borkovcová, Jan Matoušek

Supervisor:

Department of Software Engineering

Synopsis:

This course is presented in Czech.

Requirements:

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Study materials:

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/

Time-table for winter semester 2022/2023:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
Wed
Thu	roomTH:A-s135 Borkovcová M. 09:15–10:45 (lecture parallel1) Thákurova 7 (FSv-budova A) As135roomT9:345 Borkovcová M. Matoušek J. 11:00–12:30 (lecture parallel1 parallel nr.101) Dejvice NBFIT BOU ucebnaroomT9:345 Borkovcová M. Matoušek J. 12:45–14:15 (lecture parallel1 parallel nr.102) Dejvice NBFIT BOU ucebnaroomT9:345 Borkovcová M. Matoušek J. 14:30–16:00 (lecture parallel1 parallel nr.103) Dejvice NBFIT BOU ucebnaroomT9:345 Borkovcová M. Matoušek J. 16:15–17:45 (lecture parallel1 parallel nr.104) Dejvice NBFIT BOU ucebna
Fri

Time-table for summer semester 2022/2023:

Time-table is not available yet

The course is a part of the following study plans: