In-memory databases
Implement big data applications efficiently

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About the certificate course

Many companies are currently facing the challenge of having to process an ever-increasing volume of data. The right information should be available at the right time in the right form, quantity and quality for the respective users in the company - and in just a few seconds. Traditional relational database systems often reach their limits with these requirements. Modern database models do not store their data on conventional hard disk storage, but use the main memory directly for this purpose. This allows significantly higher access speeds to be realized and consequently shortens and efficiently supports operational decision-making processes.
This certificate course demonstrates the potential of big data applications based on in-memory technologies for a company and the open questions and hurdles that exist.
You will work on case studies with the SAP HANA in-memory database and can discuss individual questions from your own company with the university teacher / lecturer and experienced peers.

Register now for a fee
Course objectives

Upon successful completion of the course you will be able to:

  • Know the latest in-memory database technology.
  • Differentiate between traditional and modern database models.
  • Assess the implementation of various application scenarios when using in-memory databases.
  • Evaluate the opportunities and risks of in-memory databases.
  • Solve problems using various case studies with the help of an in-memory database system.
Advantages
  • You will learn about in-memory technologies to develop data-driven applications and improve operational decision-making processes.
  • Realistic application scenarios and practical examples are presented.
  • You will benefit from a direct practical transfer by working on an individual question on the use of an in-memory technology.
Target group

The certificate course is aimed at specialists and managers from all sectors in the fields of information management, organization and process management,...
...who are responsible for the strategic planning of information architectures in a company.
...who define information systems and processes in companies and coordinate their use.

Form of teaching and learning

The interactive seminar-style course offers the opportunity to address individual questions and problems posed by participants. Case studies
are offered for each knowledge block. The presentation of the results enables direct practical transfer. An online learning platform supports the learning success.

I Foundation course

Foundation courseon in-memory technology
- Initial situation and framework
- Overview and history
Overview of SAP HANA technologies
- System architecture and building blocks
- Differentiation from traditional business intelligence
Using SAP HANA as an analysis platform
- Overview of data modeling
- Overview of SAP Lumira
Data structures in SAP HANA
- Data modeling process
- Data provisioning process
Case studies
- Reporting
- Data modeling

- Self-Assessment

II Application areas of in-memory technology

Data Mining
- Overview
- Differentiation between descriptive, predictive and prescriptive analytics
- Big Data
- Analysis case study
SAP Predictive Analysis on HANA
- Overview
Further case studies
- Using the SAP HANA platform for geospatial applications
- Using the SAP HANA platform for text mining applications

- Implementation of in-memory technologies
- Investigation of the use of in-memory technologies
- Preparation of the presentation (exam achievement)

III Presentation and examination

Wrap Up
Questions and Answer Session
Presentation of the project assignments
on the topic "Use of in-memory technology in business practice

  • Three online attendance dates:
    Thurs., 27.06.2024 | Fri., 28.06.2024 | Fri., 30.08.2024 | 9 a.m. - 5 p.m.
    There are online-supported self-study phases between the attendance days.
  • Application deadline: 20.06.2024
  • Max. Number of participants: 12 persons
  • Location: Online format (Zoom meeting)
  • Course language: The certificate course is held in German.
  • Participation fee: €990 | alumni (5% discount) €940
  • Participation requirements: University degree with at least one year of professional experience or other professionally qualifying degree with at least three years of professional experience. Basic knowledge of data architectures should be available. You will need an internet-enabled PC or an internet-enabled notebook for Zoom as a video conferencing service and a headset if necessary.
  • Scope (workload): 75 h, of which attendance 24 h, 3 ECTS
  • Degree: University certificate / certificate of attendance
    Participants receive a certificate of attendance if at least 75% of the course is attended. A certificate from The Hochschule Niederrhein is awarded upon passing the examination.
Register now for a fee

Three questions for your university teacher / lecturer, Prof. Dr. Schmitz:

Why is continuing education in "in-memory databases" currently of interest to many professionals?
"A large amount of mass data is generated every day, both in the private and professional sphere. Processing and analyzing this data also requires changes in database structures in order to create the technical prerequisites for significant improvements in business processes and decision-making in all functional areas of a company."

What are you particularly looking forward to on this university certificate course?
"The contact with practitioners who are active in this context or are planning to invest in this area."

And what can participants look forward to?
"To learning about topics with a practical emphasis / orientation."

Your contact person:

Ulrike Schoppmeyer
Center for continuing education Marketing | Sales