OPF:INMNADTS Data Warehouse - Course Information

INMNADTS Data Warehouse

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.
  

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 2014, recent)
  
• Permalink: https://is.slu.cz/course/opf/winter2014/INMNADTS