155-0912/01 – Paradigm of Data Warehouse (PDS)

Gurantor departmentDepartment of Applied InformaticsCredits10
Subject guarantorprof. Ing. Dušan Marček, CSc.Subject version guarantorprof. Ing. Dušan Marček, CSc.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2017/2018Year of cancellation
Intended for the facultiesEKFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
HUD0118 doc. Dr. Ing. Miroslav Hudec
MAR0011 prof. Ing. Dušan Marček, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 28+0
Combined Examination 28+0

Subject aims expressed by acquired skills and competences

The aim of the course is to acquire knowledge for designing data warehouses for processing and utilization of large volumes of data with the aim of creating intensive queries for obtaining information from these data.

Teaching methods

Lectures
Individual consultations

Summary

The aim of the course is to acquire knowledge for designing data warehouses for processing and utilization of large volumes of data with the aim of creating intensive queries for obtaining information from these data.

Compulsory literature:

WATSON, H.J. Recent Development in Data Warehousing. Communications of the Association for Information Systems, vol. 8, 2001, ISBN: 9780137960798. KIMBALL, R., ROSS, M. Relentlessly Practical tools for Data Warehousing and Business Intelligence. Indianapolis, Wiley Publishing, 2010, ISBN 978-0-470-56310-6. KIMBALL, R., CASERTA, J. The Data Warehouse ETL Toolkit. Indianopolis, John Wiley & Sons, 2004, ISBN 0-764-56757-8.

Recommended literature:

ENGLISH, L.P. Improving Data Warehouse and Business Information Quality: Methods for reducing costs and increasing profits. NY, John Wiley & Sons, 2003, ISBN 0-471-25383-0. VAISMAN A., ZIMANYI,E. Data Warehouse Systems – Design and Implementation. Springer-Verlag, Berlin Heidelberg, 2014. SPOFFORD, G. MDX with Microsoft SQL Server, Analysis Services. New York, John Wiley, 2001, ISBN 0-471-40046-7.

Way of continuous check of knowledge in the course of semester

Zkouška: ústní otázky z daných okruhů

E-learning

Další požadavky na studenta

Elaborating a written work that has a close relation to the PhD thesis topic.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

The main topics of the course are: 1. information systems and operational databases, classification and description of information systems in terms of volume of processed data, technology OLTP, OLAP, data warehouse environment; 2. the data warehouse modeling phase and its description, data structures and models; 3. multidimensional data analysis, dimension, multidimensional databases, data models at internal level; 4. SQL expansion towards solving descriptive tasks, creation and realization of intensive queries, data visualization, possibilities of using data warehouses in the context of big data, queries on association rules; 5. internal data organization, use of B-trees, bitmap indexes and join indexes.

Conditions for subject completion

Full-time form (validity from: 2017/2018 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2019/2020 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2019/2020 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2018/2019 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2018/2019 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2017/2018 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2017/2018 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner