Main content

CS 536 — NoSQL Database Systems
(dt. NoSQL Datenbanksysteme)

Level, degree of commitment Advanced module, compulsory elective module
Forms of teaching and learning,
workload		 Lecture (2 SWS), recitation class (2 SWS),
180 hours (60 h attendance, 120 h private study)
Credit points,
formal requirements		 6 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
Examination type: Written or oral examination (individual examination)
Language,
Grading		 English,
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Computer Science.
Duration,
frequency		 One semester,
Alle 3-4 Semester
Person in charge of the module's outline Prof. Dr. Bernhard Seeger

Contents

NoSQL database systems have proven themselves in a variety of applications where non-SQL-based systems are required for the

management of large and rapidly growing databases are no longer adequate. In this context, NoSQL systems offer advantages

in distributed and scalable management, as well as a more application-oriented data model. The lecture covers the following topics

menus:

1) Introduction to distributed computing such as Apache Spark.

2) Overview of different types of NoSQL systems (such as Cassandra, MongoDB, ElasticSearch).


Qualification Goals

Students will

  • know distributed data management techniques and can apply them,
  • know basic knowledge and for dealing with NoSQL systems ,
  • can use these systems in an application context,
  • are able to recognize differences between various NoSQL systems and relational systems,
  • are able to speak freely about scientific content, both in front of an audience and in a discussion.

Prerequisites

None. The competences taught in the following module are recommended: Database Systems.


Applicability

Module imported from B.Sc. Computer Science.

It can be attended at FB12 in study program(s)

  • B.Sc. Data Science
  • B.Sc. Computer Science
  • B.Sc. Business Informatics
  • M.Sc. Data Science
  • M.Sc. Computer Science
  • M.Sc. Business Informatics

When studying M.Sc. Data Science, this module can be attended in the study area Free Compulsory Elective Modules.

The module is assigned to Computer Science. Further information on eligibility can be found in the description of the study area.


Recommended Reading

  • Dan Sullivan: NoSQL for Mere Mortals, Addison-Wesley Professional, 2015



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2023/24. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

  • Winter 2016/17 (no corresponding element)
  • Summer 2018 (no corresponding element)
  • Winter 2018/19 (no corresponding element)
  • Winter 2019/20 (no corresponding element)
  • Winter 2020/21 (no corresponding element)
  • Summer 2021 (no corresponding element)
  • Winter 2021/22 (no corresponding element)
  • Winter 2022/23 (no corresponding element)
  • Winter 2023/24

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.