Module Handbook

  • Dynamischer Default-Fachbereich geändert auf INF

Course INF-24-53-K-6

Distributed Data Management (2V+1U, 4.0 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
- K Lecture with exercise classes (V/U) 4.0 CP 78 h
2 V Lecture 28 h
1 U Exercise class (in small groups) 14 h
(2V+1U) 4.0 CP 42 h 78 h


CP, Effort 4.0 CP = 120 h
Position of the semester 1 Sem. irreg. SuSe
Level [6] Master (General)
Language [EN] English
Area of study [INF-INSY] Information Systems
Livecycle-State [NORM] Active

Possible Study achievement

  • Verification of study performance: proof of successful participation in the exercise classes (ungraded)


  • Distributed Query Processing
  • Fault Tolerance
  • Replication
  • Map Reduce (Hadoop) Fundamentals
  • Spark and SparkSQL
  • PIG and Hive
  • NoSQL: key value stores, graph databases, ...
  • Consensus algorithms (Paxos)
  • State machine replication
  • Lamport timestamps
  • CAP Theorem, BASE
  • Consistency Models
  • Vector clocks
  • Cloud Computing
  • Stream Processing (STREAM, Storm)
  • Probabilistic Counting and Data Synopses


Will be announced during the course.

Requirements for attendance (informal)


Requirements for attendance (formal)


References to Course [INF-24-53-K-6]

Module Name Context
[INF-24-53-M-6] Distributed Data Management P: Obligatory 2V+1U, 4.0 LP
Course-Pool Name
[INF-INSY_V-KPOOL-6] Lectures of the teaching area Information Systems