Web Communication & Information Systems PT
Apply Icon
Apply
now

Data modelling and storage

level of course unit

2nd Study cycle, Master

Learning outcomes of course unit

The following learning outcomes are developed in the course:

- Students know the central concepts of data modelling.
- Students can independently develop data models for a given scenario.
- Students know different solutions for data storage.
- Students can compare different storage solutions with regard to their suitability for a given scenario.

prerequisites and co-requisites

none

course contents

The following content is discussed in the course:

- Data modelling for relational data structures
- Database interaction in SQL (DDL, DML, DQL)
- Non-relational data storage concepts (NoSQL databases)
- Implementing data structures
- Integrating data structures into applications

recommended or required reading

PRIMARY LITERATURE: - Kleppmann, M. (2017): Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scala-ble, and Maintainable Systems (Ed. 1), O'Reilly Media, Farnham (ISBN: 978-1449373320)

SECONDARY LITERATURE: - Celko, J. (2013): Joe Celko's Complete Guide to NoSQL: What Every SQL Professional Needs to Know about Non-Relational Databases (Ed. 1), Morgan Kaufmann, Waltham (ISBN: 978-0124071926)

assessment methods and criteria

Written exam

language of instruction

German

number of ECTS credits allocated

6

eLearning quota in percent

17

course-hours-per-week (chw)

3

planned learning activities and teaching methods

English version available soon

semester/trimester when the course unit is delivered

1

name of lecturer(s)

Prof. (FH) Dipl.-Informatiker Karsten Böhm

year of study

1

recommended optional program components

none

course unit code

DTS.1

type of course unit

integrated lecture

mode of delivery

Compulsory