Advanced Data Management Systems (ADMS)
This is an advanced course about the design of modern data management systems which has a heavy emphasis on system design and internals. Sample topics include modern hardware for data management, main memory optimisations, parallel and approximate query processing, etc.
The course expects the reading of research papers (SIGMOD, VLDB, etc.) for each class. Programming projects will implement concepts discussed in selected papers. The final grade will be based on the results of the programming projects. There will be no final exam
Due to the current COVID-19-situation, all teaching activities will be completely online: courses will be either given as live stream (with recordings) or as video lectures (offline recordings). The detailed setup for each course regarding the organization will be announced on the Moodle website of each course. Please follow the links to Moodle.
Quick Links
Course materials (Moodle) – Registration & Detailed Info (TUCaN)
Organization
| Last offered | Summer Semester 2021 |
| Lecturer | Prof. Dr. Carsten Binnig |
| Assistants | Lasse Beck Thostrup, Tobias Ziegler |
| Exam | Graded assignments & programming projects during the course of the lecture |
| See TuCAN link above for additional information (e.g., appointments) | |
Content
- Main Memory Storage
- Main Memory Indexes
- Parallel Execution
- Big Data Applications
Literature
Recommended literature include:
- Reading list will be published during the course