OPF:INMNADTS Data Warehouse - Course Information
INMNADTS Data Warehouse
School of Business Administration in KarvinaWinter 2016
- Extent and Intensity
- 2/1/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Mgr. Milena Janáková, Ph.D. (lecturer)
doc. RNDr. František Koliba, CSc. (lecturer)
Mgr. Milena Janáková, Ph.D. (seminar tutor)
doc. RNDr. František Koliba, CSc. (seminar tutor) - Guaranteed by
- doc. RNDr. František Koliba, CSc.
Department of Informatics and Mathematics – School of Business Administration in Karvina
Contact Person: doc. Mgr. Petr Suchánek, Ph.D. - Prerequisites
- None; Excluded courses - INF/PDTS
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Managerial Informatics (programme OPF, N_SYSINF)
- Course objectives
- The aim of the course is to provide an overview about advanced database technologies such as data warehouse, OLAP analysis and data mining. There is primarily described management, planning, design with implementation and management of a specific project database or data warehouse.
- Syllabus
- 1st Introduction to data warehousing.
2nd The transition from relational databases to multidimensional.
3rd Tools for working with the administration and analytical services.
4th Data warehouses.
5th Methods for building a data warehouse.
6th Preparing data - ETL phase.
7th OLAP analysis.
8th OLAP.
9th OLAP over data from Oracle DB.
10th Administration access to OLAP databases.
11th Data mining.
12th Model for process of data mining.
13th Selection of algorithm and model.
- 1st Introduction to data warehousing.
- Literature
- required literature
- KIMBAL, R., ROSS, M. The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling. Indianapolis, John Wiley & Sons, 2013. ISBN -13: 978-11185308. info
- INMON, W. H. Building the Data Warehouse. Indianapolis, Wiley Publishing, 2005. ISBN -13: 978-07645994. info
- recommended literature
- LIEBOWITZ, J. Big Data and Business Analytics. NW, CRC Press, 2013. ISBN -13: 978-14665657. info
- KRISHNAN, K. Big Data and Business Analytics. NW, CRC Press, 2013. ISBN 0124058914. info
- HUMPHRIES, M.,HAWKINS,M.W.,Dy M.C. Data warehousing, Návrh a implementace. Brno, Computer Presss, 2002. ISBN 80-72-2656-0. info
- Olivia Parr Rud. Data Mining. Computer Press, Praha, 2001. ISBN 80-7226-577-6. info
- Teaching methods
- Skills demonstration
Seminar classes - Assessment methods
- Grade
- Language of instruction
- English
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
- Teacher's information
- attendance in seminars 50%, seminar paper, ongoing test, final combined exam
Activity Difficulty [h] Ostatní studijní zátěž 39 Přednáška 26 Seminář 13 Zkouška 40 Summary 118
- Enrolment Statistics (Winter 2016, recent)
- Permalink: https://is.slu.cz/course/opf/winter2016/INMNADTS