Data Management (CPE)
Data Management (CPE)
Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
Master's degree programme in Entrepreneurship and Management
Master's degree programme in Finance
Master's degree programme in Innovative Finance
Master's degree programme in Entrepreneurship, Innovation and Leadership
Project Description
- Data Management covers the modern data-management cycle, from the collection of data from diverse sources to the preparation of data for data-driven applications. Students learn how to handle various data formats, how to assess and improve data quality, and how to store and process data using SQL, NoSQL, and Hadoop technologies. The course covers eight primary topics:Modern data-management requirementsDatabase system architectureDiagnosing and handling data quality problemsRelational databases (SQL)Hands-on labs with MySQLConcurrency control techniquesNoSQL databases (e.g., MongoDB)Apache Hadoop (HDFS, MapReduce)
Teaching Method
- The module involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.
Learning Results
After successful completion of the course, students will
Professional competence
Professional competence
- understand the basic concepts of modern data management
- have gained insights in advanced concepts of modern data management
- be able to apply the data management stack from conceptual database design to data query and manipulation
- be able to collect and prepare data for data-driven applications
- be able to organise learning materials and work in groups
- be able to divide problems into meaningfully tasks, work on them and help each other within the group
- be able to apply the learned theoretical content to real-world scenarios
- have an increased capability of structural thinking
- be familiar with SQL, in particular with MariaDB/MySQL
- be familiar with MongoDB
Assessment Methods
Written exam (60min)