040310 KU Modelling and Handling of Large Databases (MA) (2024S)

The course introduces central methods to understand modeling and daily usage (CRUD operations) of databases and the characteristics of computer-based information systems. This knowledge will be applied to aggregate information and to facilitate and accelerate decision-making processes. Particular attention will be paid to conceptual and logical databases design, data analysis using SQL, algorithms for selecting materialized views, databases systems technology (indexes, star query optimization, physical design, query rewrite methods to use materialized views), and tools for managing a large amount of data. The student will acquire knowledge of the fundamental concepts to design and use database models. Furthermore, the student will learn to generate reports, data cubes and evaluate the performance of the modeled key processes to improve them. Beyond the relational part, we will have a look at NoSQL databases, such as Graphdatabases, Textdatabases and Document oriented databases. If there is enough time, the students will use process mining based on event-logs to model business scenarios.

This course consists of lectures, homework, and exams.

Generic goals:
- Improvement of programming skills
- Understanding of interplay in Business Administration and databases.

Students of the Master Business Analytics program who have not yet passed the exam "Introduction to Programming with Python" can be admitted to the course on a daily basis after successfully passing the exam. Please contact the course management for this purpose.