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Introduction Data Modelling
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You are aware that data modeling is a skill that not only a database administrator possesses and want to improve your knowledge and skills in this area.
Training codeCGADAMODCDSpoken LanguageDutchLanguage MaterialsEnglishDayparts2Price€750,00excl. VAT No extra costs.Book Introduction Data Modelling now
In group training, we use several learning methods to help you obtain the knowledge, give you helpful insights and get you inspired. Check the Spoken language and Language materials on the left for language info.
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24-7-2023Utrecht
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23-8-2023Utrecht
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25-9-2023Online Virtual
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Introduction Data Modelling
10
8.3
0
28 reviewsWhat 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
After completing this training you will be able to:
- Read and interpret a logical data model
- Make a normalized data model in 3NF
- Apply the right model at the right time
- Use different schematic techniques (ERD, UML)
- Use all possible sources of data
- To communicate with all involved
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
You are aware that data modeling is a skill that not only a database administrator possesses and want to improve your knowledge and skills in this area.
Training codeCGADAMODCDSpoken LanguageDutchLanguage MaterialsEnglishDayparts2Price€750,00excl. VAT No extra costs.With an Incompany training you have several advantages:
- You choose the location
- You experience the training with your colleagues, so it is always in line with your practice
- The trainer can tailor explanations, examples and assignments to your organization
- In consultation exercises can be adapted to organization-specific questions
Request more information or a quote.Introduction Data Modelling
10
8.3
0
28 reviewsWhat 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
After completing this training you will be able to:
- Read and interpret a logical data model
- Make a normalized data model in 3NF
- Apply the right model at the right time
- Use different schematic techniques (ERD, UML)
- Use all possible sources of data
- To communicate with all involved
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
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e-CF competences with this course
At Capgemini Academy we believe in transparency and clarity in the training landscape. That is why, in the table below, we show you to which e-CF competence this training or certification contributes. For more information about how to use the e-Competence Framework read more here. If you want to know how you can apply the e-CF within your organization, read more on this page.
| e-Competence Level | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| B.1.Application Development | |||||
| D.10.Information and Knowledge Management |