Data Science & Intelligent Analytics PT
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Data Engineering for Data Science

level of course unit

Masterstudium

Learning outcomes of course unit

Students are familiar with various further data storage concepts (e.g. NoSQL data-bases, distributed databases, etc.) and are able to compare and assess these in regard to their suitability for specific problem areas. Furthermore, students understand the special requirements for data storage resulting from the usage of very large data volumes (big data).

prerequisites and co-requisites

Relational data modeling, implementation of relational databases, SQL

course contents

Expertise in the area of further data storage concepts (e.g. key-value stores, document stores, column-oriented data stores, etc.) and their application are conveyed to students within the context of the course. Students learn about the special challenges associated with large data volumes (big data) within this context and know how to deal with these challenges in a practical manner (CAP Theorem).

recommended or required reading

- Edlich, S; Friedland A.; Hampe, J.; Brauer, B.; Brückner, M. (2011) NoSQL: Einstieg in die Welt nichtrelationaler Web 2.0 Datenbanken. 2. Auflage, Hanser, Carl Gmbh + Co., München (ISBN: 978-3446427532).
- Freiknecht, J. (2014) Big Data in der Praxis: Lösungen mit Hadoop, HBase und Hive. Daten speichern, aufbereiten, visualisieren. 1. Auflage, Hanser, Carl Gmbh + Co., München (ISBN: 978-3446439597).
- Kleppmann, M. (2017) Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. 1. Auflage, O'Reilly Media, Farnham (ISBN: 978-1449373320).
- Carpenter, J.; Hewitt, E. (2016) Cassandra: The Definitive Guide: Distributed Data at Web Scale. 2. Auflage, O'Reilly Media, Farnham (ISBN: 978-1491933664).
- Celko, J. (2013) Joe Celko’s Complete Guide to NoSQL: What Every SQL Professional Needs to Know about Non-Relational Databases. 1. Auflage, Morgan Kaufmann, Waltham (ISBN: 978-0124071926).
- Edlich, S; Friedland A.; Hampe, J.; Brauer, B.; Brückner, M. (2011) NoSQL: Einstieg in die Welt nichtrelationaler Web 2.0 Datenbanken. 2. Auflage, Hanser, Carl Gmbh + Co., München (ISBN: 978-3446423558).

assessment methods and criteria

Final examination

language of instruction

German

number of ECTS credits allocated

3

course-hours-per-week (chw)

2

planned learning activities and teaching methods

Lecture with discussion

semester/trimester when the course unit is delivered

1

name of lecturer(s)

Prof. (FH) Dr. Kohlegger Michael

year of study

1

recommended optional program components

N.A.

course unit code

DPR.1

type of course unit

ILV

mode of delivery

in-class lecture

work placement(s)

N.A.

Kontaktpersonen

Mitarbeiterfoto Karsten Böhm
Prof. (FH) Dipl.-Informatiker Karsten Böhm
Director of Studies
+43 5372 71819 133
Karsten.Boehmfh-kufstein.ac.at
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Förderer

Mit Unterstützung von Bund, Land und Europäischer Union: