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.
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