Software Engineering

Data Warehouses and Business Intelligence

  • Class 30
  • Practice 30
  • Independent work 120
Total 180

Course title

Data Warehouses and Business Intelligence

Lecture type




Lecturers and Associates

The course aims

Introducing students to metodologies and technologies used for implementation of analystical information systems based on data warehouses.


Introducing students to metodologies and technologies used for implementation of analytical information systems based on data warehouses. Students will acquire methodological knowledge necessary for implementing data warehouses, reporting systems and multi-dimensional analysis. Also, on implementing systems for planning and budgeting, predictive analysis and big data analysis. Through the practical part they will acquire skills of using Microsoft tools for developing analytical systems.


Course handbook prepared and printed by Algebra University College

Minimum learning outcomes

  • Understanding the purpose of analytical systems.
  • Understanding the data warehouse design.
  • Understanding the data quality concepts.
  • Understanding the data integration process.
  • Understanding the purpose of OLAP structures, reports and analysis.
  • Understanding new trends and the metodology of implementing analytical systems.

Preferred learning outcomes

  • Specify user requests for the analytical system.
  • Designing the data warehouse.
  • Analyzing operational data and identifying data quality issues.
  • Integrating data from different sources using the data integration platform..
  • Designing OLAP structures, building reports and making analysis.
  • Participating as a team member in the implementation of an analytical system.

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