Business Intelligence
Data is displayed for the academic year: 2024./2025.
Course Description
Dimensional Model, Data Warehouse Architecture, Reporting and Visualization Tools from Data Warehouse, Real-Time Data Warehouses, OLAP, ETL.
Prerequisites
Knowledge of the concepts of relational databases and the basic parts of the system for managing relational databases.
Creation of simpler models of relational databases.
Using the SQL query language.
Study Programmes
University graduate
[FER3-EN] Data Science - profile
Recommended elective courses
(2. semester)
Learning Outcomes
- define the basic concepts of Business Intelligence and Data Warehouses
- apply the princples of DW modelling
- employ the basic ETL procedures
- operate the basic OLAP technologies
- employ basic BI tools
- produce a BI tool prototype
Forms of Teaching
Lectures
Students are presented with theoretical foundations of selected topics intertwined with practical examples.
Partial e-learningStudents have access to one online tutorials which serves as a reminder and crash course for required previus knowledge in SQL.
Independent assignmentsStudents individually work on their project through six homework assignments
LaboratoryStudents discuss their own solutions to project tasks with subject teachers.
Grading Method
Continuous Assessment | Exam | |||||
---|---|---|---|---|---|---|
Type | Threshold | Percent of Grade | Threshold | Percent of Grade | ||
Seminar/Project | 30 % | 50 % | 30 % | 50 % | ||
Mid Term Exam: Written | 0 % | 25 % | 0 % | |||
Final Exam: Written | 30 % | 25 % | ||||
Exam: Written | 50 % | 50 % |
Week by Week Schedule
- Introduction, definitions, motivation
- Dimensional model
- Dimensional model, Data warehouse architecture, project
- Dimensional model, Data warehouse design, project
- Dimensional model, Data warehouse design, project
- Dimensional model, Data warehouse design, project
- Dimensional model, Data warehouse design
- Midterm exam
- Data visualization, project
- On-Line Analytical Processing, project
- ETL (Extract, transform and load)
- ETL (Extract, transform and load), project
- ETL (Extract, transform and load)
- Real-time Data Warehouses
- Final exam
Literature
(.), Ralph Kimball, Margy Ross: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling,
(.), Christopher Adamson: Star Schema The Complete Reference,
General
ID 223099
Summer semester
5 ECTS
L1 English Level
L1 e-Learning
30 Lectures
0 Seminar
0 Exercises
15 Laboratory exercises
0 Project laboratory
0 Physical education excercises
Grading System
87,5 Excellent
75 Very Good
62,5 Good
50 Sufficient