Scalable Data Management Systems (SDMS)
This course introduces the fundamental concepts and computational paradigms of scalable data management systems. The focus of this course is on the systems-oriented aspects and internals of such systems for storing, updating, querying, and analyzing large datasets.
We will employ a hybrid teaching setup for this course in the winter term 2021. Lectures will be given partially on-site with the possibility to attend in-person, or some lectures will be online-only. In both cases, a recording of the lecture will be available. The schedule of when we have in-person lectures and when we have online-only lectures will be discussed in the intro-lecture and be available in Moodle (see below). The intro-lecture will be online-only. Please follow the links to Moodle.
Quick Links
Course materials & Forum (Moodle) – Registration & Detailed Info (TUCaN)
Organization
| Last offered | Winter Semester (21/22) |
| Lecturer | Prof. Dr. Carsten Binnig |
| Assistants | Lasse Thostrup, Nils Boeschen |
| Exam | Graded programming projects & 60min written exam |
| See TUCaN link above for additional information (e.g., rooms & appointments) | |
Content
- Database Architectures
- Parallel and Distributed Databases
- Data Warehousing
- MapReduce and Hadoop
- Spark and its Ecosystem
- Optional: NoSQL Databases, Stream Processing, Graph Databases, Scalable Machine Learning
Literature
Recommended literature include:
- Garcia-Molina et. al.: Data Systems Implementation
- Silberschatz et. al.: Database Systems Concepts
- Ramakrishnan et. al.: Database Management Systems
- T. Özsu et. al.: Principles of Distributed Database Systems