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Machine Learning Engineer
The interaction between the various IT systems and services is only made possible by data. This data is omnipresent, either because it is often stored redundantly in a wide variety of systems or because it is exchanged via countless interfaces. Maintaining an overview and control is essential for the sustainable operation of IT and is also a prerequisite for turning data into useful information for the company.
- Introduction: Data, information and knowledge
- Databases and data warehouses
- Data quality and its importance
- Identification of information needs
- Information analysis and data structures
- Data models (ERD and UML)
- Data partitioning and ownership
- Current trends (analytics, big data, AI, etc.)
- Creating simple information and data models
- Evaluating information and data models
- Use of information and data models as a basis for application partitioning
This course consists of training training and is led by a trainer who supervises the participants live. Theory and practice are taught with live demonstrations and practical exercises. The video conferencing software Zoom is used.
This course is aimed at people who need to acquire basic knowledge of information and data modeling and/or want to use this as a basis for application partitioning.
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