In-Memory und Cloud-Technologien
Winter
(in German: In-Memory und Cloud-Technologien )
Module-ID: FIN-INF-120506 |
|
Abbreviation IMCloud |
Credit Points 6 |
Semester Winter |
Term starting at 1. |
Duration 2 Semester |
Language english |
Level Master |
| Link: | LSF |
| Limited accessability: | |
| Responsibility: | Hon. Prof. Dr. Alexander Zeier |
| Lecturer: | Hon. Prof. Dr. Alexander Zeier |
| Classes: |
|
| 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 |
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 |
|
| 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.