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  3. Post-Graduation in Statistical Systems
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  5. Business Intelligence - Datawarehousing

Business Intelligence - Datawarehousing

Objectives

The main objective of this course is to take students to understand the capabilities of decision support processes enhanced by the use of Business Intelligence and Data Warehouse.

General characterization

Code

400004

Credits

6.0

Responsible teacher

Hours

Weekly - Available soon

Total - Available soon

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Prerequisites

Databases (SQL Server)

Bibliography

Turban E.; Sharda R.; Dursun D. and King D. (2011). Business Intelligence: a managerial approach. Second Edition. Prentice Hall, ISBN: 013610066X. ; Inmon, William H. (2005). Building the Data Warehouse (4th Ed edition). Hungry Minds Inc,U.S., ISBN-10: 0764599445.; Kimball, R. and Ross, M. (2002). The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling (Second Edition). Wiley, ISBN-10: 0471200247.; Davenport, Thomas H. and Harris, Jeanne G. (2007). Competing on Analytics: The New Science of Winning. Harvard Business School Press, ISBN-10: 1422103323.; 0

Teaching method

This course will include lectures and labs.
In the lectures will consist of theoretical concepts, case studies and presentations from leading BI vendors.
The applied component of the course will include several computer labs where students will apply the concepts and theories presented in lectures leveraging the Microsoft Business Intelligence Platform (SQL Server, SQL Business Intelligence Development Studio).
In this context the students will have to develop a project.
 

Evaluation method

The evalution of the course includes:
a) Project (50%)
b) Final Exam (50%) 

Subject matter

T.1 - Business Intelligence
T1.1 Business Intelligence Framework
T1.2 Architecture and Components of Business Intelligence ( BI )
T1.3 Creation and use of intelligence and governance of BI
T1.4 Key theories and features of Business Intelligence
T1.5 Competitive Intelligence
T1.6 Implementation of Business Intelligence
T1.7 The future of Business Intelligence
T.2 - Data Warehousing
T2.1 Definitions and concepts of Data Warehousing
T2.2 The process of Data Warehousing
T2.3 Data Warehousing Architectures
T2.4 Data Integration and ETL processes - Extraction , Transformation and Loading
T2.5 Development of Data Warehouses
T2.6 Data Warehousing in real time
T2.7 Administration and Security of Data Warehouses
laboratories
L.1 SQL Server Management Studio
         Introduction to Relational Databases
         Implementation of a Relational Database
L.2 SQL Business Intelligence Development Studio
         Introduction to Data Warehouse Systems .
         OLTP vs OLAP
         metadata
         Microsoft Data Warehousing Tools - Getting Started
L.3 SQL Server Integration Services
         Process ETL Process - Basic Mode
         Microsoft SQL Server Integration Services - Basic Mode
L.4 SQL Server Integration Services
         Process ETL Process - Advanced Mode
         Microsoft SQL Server Integration Services - Advanced Mode
L.5 SQL Server Management Studio
         Multidimensional models
         Fact Tables and Dimensions
         Design and Implementation of Dimensional Schemes - Data Warehousing