Data Warehouses and Data Processing
Course title: Data Warehouses and Data Processing
Code: FEIT07L029
Number of credits (ECTS): 6
Weekly number of classes: 2+2+1+0
Prerequisite for enrollment of the subject: Taken course: Database and Data Modeling
Course goals/Competences: Learning data warehouse techniques. Ability to recognize and select the right type of data mining algorithm, according to the considered field of work and used data type. Application of data mining algorithms and techniques.
Total available number of classes: 180
Curriculum: Introduction to the basic concepts of data warehousing. Data processing algorithms used in data warehouses. Fundamentals of data mining as a technique for discovering new database knowledge.
Literature:
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Literature |
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Compulsory literature |
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No. |
Author |
Title |
Publisher |
Year |
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1 |
R.Kimball, M.Ross |
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 2nd Edition |
John Wiley &Sons |
2002 |
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2 |
R.Kimball, M.Ross, W. Thornthwaite, J. Mundy |
The Kimball reader Group: Relentlessly Practical Tools for Data Warehousing and Business Intelligence |
Butterworth-Heinemann |
2005 |
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3 |
R. H. Nemati, C. Barko |
Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance |
Idea Group Inc |
2004 |
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Further literature |
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No. |
Author |
Title |
Publisher |
Year |
|
1 |
H.A. Abbass, et al. |
Data Mining: A Heuristic Approach |
Idea Group Inc |
2002 |
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2 |
N. F. F. Ebecken |
Data Mining |
WIT Press |
1998 |
