Course detail

Data Warehousing

FIT-DS_2Acad. year: 2023/2024

Basic terms: relational and multidimensional database model, operational database, data warehouse, data mart, building and running of a data warehouse, modelling a data warehouse - multidimensional model, data cube, OLAP analysis, data mining.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

Ing. Vladimír Bartík, Ph.D.

Department

Department of Intelligent Systems (UITS)

Entry knowledge

Database systems

Rules for evaluation and completion of the course

During the semester, students can obtain up to 40 points, including 20 points from the mid-term test consisting of questions and examples of the themes of the first half of the semester and 20 points from the projects to exercise (one to create a data warehouse and OLAP usage techniques and the other on data mining). On the credit you need to get 20 points. Final written exam for 60 points includes all topics covered in lectures and in seminars.
Design and presentation of projects in due dates. Students can work on the projects in their own free time.

Aims

Understanding the basic theory of data warehouses and acquirement of practical skills in their design and usage, understanding the basics of OLAP techniques and data mining.
Students understand the importance of data warehouses, OLAP techniques and data mining and are able to use it.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Humphries, M., Hawkins, M. W. a kol.: Data warehousing, Principy a praxe. Computer Press, 2002, 256 s. ISBN 8072265601. (EN)
Lacko, L.: Datové sklady, analýza OLAP a dolování dat. Computer Press, 2003, 488 s. ISBN 80-7226-969-0 (CS)
Ponniah, P.: Data Warehousing Fundamentals. John Wiley & Sons, Inc., 2001, 516 s. ISBN 0-471-41254-6 (EN)

Recommended reading

Not applicable.

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme BAK-MIn Bachelor's 3 year of study, winter semester, compulsory

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

Ing. Vladimír Bartík, Ph.D.

Syllabus

1. Basic terms of data warehousing. Relationship of data warehouses and operational databases.
2. Architecture of a data warehouse. Modelling of data warehouses.
3. ETL process during creating data warehouse.
4. OLAP tachnics and OLAP operations over a data cube.
5. A case study about using of data warehouses.
6. Introduction to the design of data warehouses.
7. Introduction to data mining in data warehouses.

Computer-assisted exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Vladimír Bartík, Ph.D.

Syllabus

1. Repetition of relational databases and SQL.
2. Data warehousing and OLAP usage analysis in Microsoft tools.
3. Use MS Excel for OLAP analysis.
4. Individual project to create a data warehouse.
5. Use of methods data mining tools in an environment of Microsoft.
6. Individual project on data mining.

Elearning

eLearning: currently opened course