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In-Memory und Cloud-Technologien

Winter

(in German: In-Memory und Cloud-Technologien )
Module-ID: FIN-INF-120506
Link: LSF
Responsibility: Hon. Prof. Dr. Alexander Zeier
Lecturer: Hon. Prof. Dr. Alexander Zeier
Classes:
  • Vorlesung In-Memory und Cloud-Technologien 1
  • Vorlesung In-Memory und Cloud-Technologien 2
 
Applicability in curriculum: - M.Sc. INF: Informatik
- M.Sc. INGINF: Informatik
- M.Sc. WIF: Informatik
- M.Sc. DKE: Data Processing for Data Science
- M.Sc. DE: Methoden der Informatik
- M.Sc. VC: Computer Science

Abbreviation

IMCloud

Credit Points

6

Semester

Winter

Term

ab 1.

Duration

2 Semester

Language

english

Level

Master

Intended learning outcomes:
The students ...

  • are able to assess and creatively develop methods in their subject.
  • can acquire new knowledge independently and make use of it.
  • can contribute their own ideas to unfamiliar tasks and make decisions.
  • can select, apply and then evaluate suitable solutions for new tasks
  • can work scientifically independently.
  • have an understanding of selected areas of specialization in economics, business informatics and computer science and their interrelationships
  • can adapt existing data science methods to new problems.
  • have in-depth, specialized knowledge of computer science and can apply this knowledge in engineering domains.
  • can contribute digitization solutions for complex engineering systems in interdisciplinary projects.

Content:
In-memory technology and applications with a focus on SAP HANA:

  • Explanation of in-memory technology with a focus on SAP HANA
  • Row versus column main memory databases
  • Compression, partitioning and indexing approaches
  • Google Cloud technology and services
  • Use of e.g. Anthos, Bigquery, and AutoML
  • Development of high-availability solutions and backup strategies
  • Expansion of the data layout without downtime
  • Migration approaches for projects in which in-memory databases are used

Workload:
Attendance time = 56 h:

  • 56 h lecture
  • Independent work = 64 h:
  • 60 h Preparation for the lecture and reading the recommended literature

Pre-examination requirements: Type of examination: Teaching method / lecture hours per week (SWS):

One oral examination at the end of the course (Summer Semester).

Lecture (4SWS)

Prerequisites according to examination regulations: Recommended prerequisites:

none

  • Datenbanken I
  • Datenbanken II
Media: Literature:

Plattner, H., Zeier, A.: In-Memory Data Management: Technology and Applications, Springer Verlag, 2. Auflage, Mai 2012, ISBN 978-3642295744 Whitepaper HANA on Intel: Three Steps to Reinvent Your Enterprise as a Digital Disrupter†von Prof. Dr. Alexander Zeier & Intel CTO Enterprise Ed Goldman, 2016. Cloud Computing, Blog (July 2020) zu Digital Decoupling. Title: Trapped by legacy systems, CIOs look for a way out https://www.accenture.com/us-en/blogs/cloud-computing/zeier-digitaldecoupling-sap-google-cloud

Comments:
Start in the Wintersemester.

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