SylabUZ
Course name | System integration |
Course ID | 11.3-WE-BizElP-SystInteg-Er |
Faculty | Faculty of Computer Science, Electrical Engineering and Automatics |
Field of study | E-business |
Education profile | practical |
Level of studies | First-cycle Erasmus programme |
Beginning semester | winter term 2022/2023 |
Semester | 6 |
ECTS credits to win | 5 |
Course type | obligatory |
Teaching language | english |
Author of syllabus |
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The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
Lecture | 30 | 2 | - | - | Exam |
Laboratory | 30 | 2 | - | - | Credit with grade |
Presentation of the software used for data integration. Education skills in programming ETL packages (Extract, Transform, Load). Presentation of knowledge in the methods and components used for system integration. Examples of the use of ETL systems.
Databases, Data warehouses and reporting services
Introduction to system integration using the ETL approach (Extract, Transform, Load). The architecture of ETL systems. Developing the ETL packages. Analysis of data sources and data destinations. Data modeling. Combine data from heterogeneous sources. Data transformation and integration methods. Profiling and cleaning of data. System integration for data warehouses and Business Intelligence systems.
Lecture - conventional lecture using a video projector.
Laboratory - practical exercises in the computer laboratory.
Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture - the passing criteria is to obtain positive grades from tests carried out at least once in a semester.
Laboratory - the passing criterion is to obtain positive marks for laboratory exercises and tests.
Final mark components = lecture: 50% + teaching laboratory: 50%
Modified by dr hab. inż. Marek Kowal, prof. UZ (last modification: 28-04-2022 11:34)