Data Engineering

Master's degree program

The participants:

• can describe various advanced data storage concepts (e.g., NoSQL databases, distributed databases, etc.)
• can compare and select data storage concepts with regard to their suitability for projects
• can describe the specific data storage requirements that arise from the use of very large volumes of data (big data)

Students have prior knowledge in information technology equivalent to 6 ECTS and are therefore familiar with the concept of the relational database and can read simple SQL queries.

The following topics are covered in the course:

- Characteristics of high-performance data systems (scalability, maintainability, reliability)
- Established concepts of data storage (relational model)
- Historical concepts of data storage (hierarchical model, network model)
- Modern concepts of data storage (wide-column model, graph model, key-value model, document model, column-oriented model)
- Database systems matching the models covered
- Scaling of data systems (replication and partitioning)
- Writing to and reading from data systems (index structures, write strategies)

- Kleppmann, M. (2017): Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Ed. 1), O'Reilly Media, Farnham (ISBN: 978-1449373320)
- Daniel, K. (2026): NoSQL Handbook for Modern Developers: A Practical Guide to Build, Scale, and Secure Cloud-Native Applications, Independently published (ISBN: 979-8245616483)

Written exam

English

4

The following methods are used:

- Lecture with discussion
- Working on practice exercises
- Interactive workshop

1