Information
Lecturer: Dr. Florian Plötzky
Classification: Master (Informatik / Wirtschaftsinformatik / Data Science)
Credits: 5
Exam: oral / written (depends on the number of participants)
Material/Videos: Stud.IP Link
Regular Dates: Each Thursday 9:45-12:15 am in IZ 161 / starts at 23th October
Contents
In this lecture, we cover basic and advanced concepts of distributed data management. The lecture will be in English.
The lecture features three major topic areas:
- Distributed Databases and Distributed Transaction Systems, representing the "classic" foundations of distributed storage with full transactional support
- Data Fragmentation
- Distributed Query Processing
- Distributed Transaction Processing
- P2P Systems, featuring ad-hoc distributed data storage in networks with unreliable peers
- Unstructured P2P Networks
- Distributed Hash Tables
- Network Models
- Content Provisioning Networks
- Durable P2P
- Cloud Storage, aiming at a fusion of the previous two concepts and providing highly scalable and reliable distributed storage solutions
- Concepts of Cloud Storage
- Amazon Dynamo
- Google Bigtable
- Cassandra
- Hadoop, HDF, and HBase
- Cloud Computing
Note that some parts of this outline will be updated – more information in the first two lectures.
