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Advanced Data Modeling (NL)
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You regularly read data models and you have also made an ERD yourself or maybe even drawn up a model from scratch. The core is clear to you and you now ask yourself, what else is there?
Training codeCGADAMOACDSpoken LanguageDutchLanguage MaterialsEnglishDayparts4Price€1.500,00excl. VAT No extra costs.Book Advanced Data Modeling (NL) 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.
Advanced Data Modeling (NL)
10
9.0
0
1 reviewsWhat is Advanced Data Modeling
You regularly read data models and you have also made an ERD yourself or maybe even drawn up a model from scratch. The core is clear to you and you now ask yourself, is there no more? In this case, this training is suitable for you. The organization you work for benefits from the overview of what you can create for the required data and how you can use this overview during system implementation.
After this training you will have knowledge of:- Drawing up a conceptual model, clear definitions and the importance of purpose limitation.
- Drawing up a logical model in all its different manifestations
- Drawing up a technical data model with attention to performance and manageability towards implementation towards databases and/or interfaces
- You have multiple methods and techniques (3NF, OO, Dimensional, Anchor modeling and more)
- You learn that time is a difficult concept in reality and how you deal with this in the models
- You learn about Model Management and what else is needed after drawing up your model
- How software can support you in this process and the bottom-up approach can complement the goal limitation approach
Who should attend Advanced Data Modeling
The Advanced Data Modeling training is suitable for:
- People who want to go more in-depth after following the 'Data Modelling Introduction' training.
- Starting Data Modellers or people who have to model data in their role, for example in role like:
- Data Engineer
- Business Analyst
- Functional Designer
- Report builder
- Software Engineer
Prerequisites
Beginning modeling skills and general knowledge of data modeling. The 'Introduction Data Modelling' course addresses these topics and is ideally suited to follow as a pre-requisite course.
Objectives
After this training you will be able to:
- Create a conceptual, logical and technical data model
- You know what it takes to manage the models
- You can apply the right methods and techniques at the right time
- Communicate with all involved about the more complex challenges e.g. related to the different time aspects of data
- Indicate which supporting software can support your modeling work
You regularly read data models and you have also made an ERD yourself or maybe even drawn up a model from scratch. The core is clear to you and you now ask yourself, what else is there?
Training codeCGADAMOACDSpoken LanguageDutchLanguage MaterialsEnglishDayparts4Price€1.500,00excl. 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.Advanced Data Modeling (NL)
10
9.0
0
1 reviewsWhat is Advanced Data Modeling
You regularly read data models and you have also made an ERD yourself or maybe even drawn up a model from scratch. The core is clear to you and you now ask yourself, is there no more? In this case, this training is suitable for you. The organization you work for benefits from the overview of what you can create for the required data and how you can use this overview during system implementation.
After this training you will have knowledge of:- Drawing up a conceptual model, clear definitions and the importance of purpose limitation.
- Drawing up a logical model in all its different manifestations
- Drawing up a technical data model with attention to performance and manageability towards implementation towards databases and/or interfaces
- You have multiple methods and techniques (3NF, OO, Dimensional, Anchor modeling and more)
- You learn that time is a difficult concept in reality and how you deal with this in the models
- You learn about Model Management and what else is needed after drawing up your model
- How software can support you in this process and the bottom-up approach can complement the goal limitation approach
Who should attend Advanced Data Modeling
The Advanced Data Modeling training is suitable for:
- People who want to go more in-depth after following the 'Data Modelling Introduction' training.
- Starting Data Modellers or people who have to model data in their role, for example in role like:
- Data Engineer
- Business Analyst
- Functional Designer
- Report builder
- Software Engineer
Prerequisites
Beginning modeling skills and general knowledge of data modeling. The 'Introduction Data Modelling' course addresses these topics and is ideally suited to follow as a pre-requisite course.
Objectives
After this training you will be able to:
- Create a conceptual, logical and technical data model
- You know what it takes to manage the models
- You can apply the right methods and techniques at the right time
- Communicate with all involved about the more complex challenges e.g. related to the different time aspects of data
- Indicate which supporting software can support your modeling work
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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 |