Scalable Data Management (SDM)
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.
Quick Links
Course materials (Moodle) – Forum (Piazza) – Registration & Detailed Info (TUCaN)
Organization
| Last offered | Winter Semester 18/19 |
| Lecturer | Prof. Dr. Carsten Binnig |
| Assistants | Muhammad El-Hindi, Abdallah Salama |
| Exam | Written exam, 100min |
| 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