Distributed Data Management

Course Organization

Lecturer:	Eike Schallehn
SWS:	2 V, 2 Ü
Target audience:	Master IF, WIF, IIF, CV, DKE
Time/place (Lecture):	G22A-203, Thu 9:15-10:45 (starting Oct 27)
Time/place (Exercise):	G10-111, Thu 11:15-12:45 (starting Oct 27)

Contents

Slides/handouts for the lecture will be made available here during the running lecture.

• PART I: Introduction (Motivation, Recap, Overview)
• PART II - IV: Distributed DBMS
• PART V: Parallel DBMS

Prerequisites

A Database introduction course (like Databases I or Data Management at the University in Magdeburg) are a necessary prerequisite.

Exercise

Exercise assignments will be published here throughout the course of the lecture.

1. Recapitulation
2. Multiprocessor DBMS
3. Foundations
4. DDBS: Fragmentation
5. DDBS: Optimal Fragmentation
6. DDBS: Optimal Allocation
7. DDBS: Query Processing I
8. DDBS: Query Processing II
9. DDBS: Cost-based Optimization
10. DDBS: Distributed Transactions
11. DDBS: Distributed Transactions II