- Docente: Stefano Rizzi
- Credits: 6
- SSD: ING-INF/05
- Language: Italian
- Moduli: Stefano Rizzi (Modulo 1) Alessandra Lumini (Modulo 2)
- Teaching Mode: In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2)
- Campus: Cesena
- Corso: Second cycle degree programme (LM) in Computer Science and Engineering (cod. 8614)
Learning outcomes
After the course, the student is skilled in business intelligence architectures and functionalities. In particular, the student is capable of designing and administrating enterprise data warehouses.
Course contents
- Business intelligence:
- the role of BI in the corporate information system;
- data warehousing;
- data mining;
- what-if analysis;
- Business Performance Management.
- architectures;
- techniques for data analysis;
- lifecycle:
- data source analysis;
- requirement analysis;
- conceptual design;
- workload and data volume;
- logical design;
- design of loading procedures;
- physical design.
Readings/Bibliography
- Slides.
- M. Golfarelli, Stefano Rizzi. Data Warehouse Design: Modern principles and methodologies. McGraw-Hill, 2009.
- M. Berry, G. Linoff. Data mining techniques for marketing, sales, and customer support. John Wiley & Sons, 1997.
- B. Devlin. Data warehouse: from architecture to implementation. Addison-Wesley Longman, 1997.
- W.H. Inmon. Building the data warehouse. John Wiley & Sons, 1996.
- M. Jarke, M. Lenzerini, Y. Vassiliou, P. Vassiliadis. Fundamentals of data warehouse. Springer, 2000.
- R. Kimball, L. Reeves, M. Ross, W. Thornthwaite. The data warehouse lifecycle toolkit. John Wiley & Sons, 1998.
- I. Witten, E. Frank. Data mining. Morgan Kaufmann Publishers, 2000.
Teaching methods
- Lessons and exercises in the classroom
- Seminars from enterprise consultants
- Practice in the laboratory on widespread data warehousing tools
Assessment methods
The exam consists of a 90-minutes written test; no books or notes
can be accessed during the test. The test includes a design
section, that requires to solve a conceptual and logical data
warehouse design exercise, and a theoretical section based on a few
open questions on all the course contents. The maximum evaluation
score is 30/30. To attend the exam, each student must sign up via
web within a deadline. Those who cannot sign up must immediately
communicate the problem to the teaching secretariat. Deciding
whether to allow them to attend the exam or not is up to the
teacher. Once the test results have been published, each student
has to write an email to the teacher to explain whether (s)he wants
to accept the grade or not.
Teaching tools
Downloadable didactic material.
Office hours
See the website of Stefano Rizzi
See the website of Alessandra Lumini