Introduction Data Modelling (NL)
What is Introduction Data Modelling
You are aware that data modeling is a skill that not only a database administrator possesses. You think that standardization is a term to signify the end of the cold war or you have never made an ERD that is understood by others!
In all these cases this training is suitable for you. The organization for which you work benefits from the modeling skills you learn and the use of DAMA-DMBOK in which data modeling is defined as one of the (core) task areas.
After completing this training you will have knowledge of:
- The differences between the conceptual, logical and physical data model
- The reasons for which you use data models
- Assessing data models (3NF)
- Making a (logical / ERD diagrams) data model (via assignments)
- The importance of data analysis for good (er) modeling
- The importance of meta data and recording of meta data (data dictionary)
- BI models (star diagram)
- Modeling within DAMA
Who should attend Introduction Data Modelling
This training is intended for:
- Starters at the start of their career
- People who make a career switch to the field of Business Intelligence
People working in IT, in particular in departments such as Business Intelligence in, for example, the function of:
- Software engineer
- Business analyst
- BI consultant
- Functional designer
- Report builder
No specific prior knowledge is required.
Objectives
After completing this training, the participant has knowledge of:
- Assessing data models (3NF) Conceptual – Logical – Physical models
- Making a (logical / ERD diagrams) data model (via assignments)
- The importance of meta data and recording of meta data (data dictionary) BI models (star diagram)
- The importance of data analysis for good (er) modeling Modeling within DAMA
- The concepts of data modeling
- The different models that are made during data modeling.
In addition, the participant has insight into the differences between the conceptual (business data), the logical (operational) and the physical (physical) data model. The participant is able to: apply the right model at the right time use different schematic techniques (ERD, UML) apply the principles of standardization use all possible sources of data to communicate with all involved
Classroom, online, blended and in-company
At Capgemini Academy you learn in the way that suits you. Do you prefer classroom training, online or a combination of the two (blended)? You can follow most training courses in-company: within your own organization. We use a variety of tools to make learning even more fun and effective. Consider videos, games, quizzes, webinars and case studies, for example. And you can always contact your trainer with any questions.
In-company training courses
With an in-company training you have several advantages:
- You choose the location.
- You train with your colleagues, ensuring it aligns with your practice.
- The trainer tailors explanations, examples and assignments to your organization.
- In consultation, exercises can be adapted to organization-specific questions.
Request more information or a quote.
