VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
Parallel and Distributed Databases
Last Updated: 2026-02-05 14:57:22
Abstract
The course explores fundamental aspects in the design of distributed and parallel application with an emphasis on data management. This includes architectual design issues as well as the algorithms and techniques used for query processing, transaction management, disaster recovery, data replication, data integration, data management in peer-to-peer systems as well as data stream management.
Content
The course will explore fundamental aspects in the design of parallel and distributed applications with a special emphasis on data management. These aspects will be discussed from both a research perspective and a practical point of view. In particular, the algorithms and techniques used for data replication, commit protocols, disaster recovery, data collection and partitioning, failure resilience and load balancing will be studied in detail. The course will use research papers as the main reference and will show how the algorithms discussed in the lecture are being used in commercial products.
General Information
- Language
- English
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Parallel and Distributed Databases |
|
2 h weekly |
| exercise | Parallel and Distributed Databases |
|
1 h weekly |