Big Data and Business Intelligence
- Faculty
Faculty of Engineering and Computer Science
- Version
Version 33.0 of 08/15/2019
- Code of Module
11M0486
- Modulename (german)
Big Data und Business Intelligence
- Study Programmes
Informatik - Verteilte und Mobile Anwendungen (M.Sc.)
- Level of Module
4
- Responsible of the Module
Tapken, Heiko
- Lecturer(s)
Tapken, Heiko
- Credits
5
- Concept of Study and Teaching
Workload Dozentengebunden Std. Workload Lehrtyp 15 Vorlesungen 15 Seminare 15 betreute Kleingruppen Workload Dozentenungebunden Std. Workload Lehrtyp 15 Veranstaltungsvor-/-nachbereitung 75 Kleingruppen 15 Literaturstudium
- Recommended Reading
H. Plattner: Lehrbuch In-Memory Data Management: Grundlagen der In-Memory-Technologie, Springer, 2013J. Freiknecht: Big Data in der Praxis: Lösungen mit Hadoop, HBase und Hive. Daten speichern, aufbereiten, visualisieren, Hanser, 2014N. Marz: Big Data: Principles and Best Practices of Scalable Realtime Data Systems, Manning Pubn, 2015
- Graded Exam
- Homework / Assignment
- Project Report, written
- Oral Presentation / Seminar Paper
- Duration
1 Term
- Module Frequency
Only Winter Term
- Language of Instruction
German