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Introduction Data Modelling (EN)
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Dive into the world of data modelling with our comprehensive training course.
Training codeCGADAMODCESpoken LanguageEnglishLanguage MaterialsEnglishDayparts2Price€800,00excl. VAT No extra costs.Book Introduction Data Modelling (EN) 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.
Introduction Data Modelling (EN)
10
9.3
0
3 reviewsWhat is Introduction Data Modelling
This training is designed for both beginners and those looking to refine their data modelling skills. It covers a broad spectrum of topics, including understanding conceptual, logical, and physical data models, assessing data models, and creating effective logical/ERD diagrams. The course also delves into BI models, the importance of metadata, and DAMA principles for comprehensive data modelling expertise.
In the modern world where data is king, mastering data modelling is an indispensable skill. Our seasoned trainers, with their wealth of expertise, bring theoretical concepts to life by infusing them with practical applications and sharing insights from their real-world experiences. This approach not only makes the training more interactive but also enhances its effectiveness.
Who should attend Introduction Data Modelling
- Data Analysts: Professionals who work with data and need to understand how to represent and structure it.
- Database Administrators: Those who manage and maintain database systems.
- Data Scientists: Professionals who need to understand data structures for effective analysis.
- Business Analysts: Individuals who need to understand data models to make informed business decisions.
- IT Professionals: Those who work with data in various capacities and need to understand data modelling.
Prerequisites
Basic understanding of databases and familiarity with SQL is beneficial.
Objectives
At the end of the training, you will be able to:
- Differentiate between conceptual, logical, and physical data models.
- Understand the reasons for utilizing data models.
- Assess data models, ensuring compliance with 3NF.
- Create straightforward logical/ERD diagrams through practical assignments.
- Emphasize the importance of data analysis in effective modelling.
- Understand the significance of metadata and the role of data dictionaries.
- Explore BI models, specifically the star diagram.
- Understand the position of data modelling within the framework of DAMA.
Dive into the world of data modelling with our comprehensive training course.
Training codeCGADAMODCESpoken LanguageEnglishLanguage MaterialsEnglishDayparts2Price€800,00excl. 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 (EN)
10
9.3
0
3 reviewsWhat is Introduction Data Modelling
This training is designed for both beginners and those looking to refine their data modelling skills. It covers a broad spectrum of topics, including understanding conceptual, logical, and physical data models, assessing data models, and creating effective logical/ERD diagrams. The course also delves into BI models, the importance of metadata, and DAMA principles for comprehensive data modelling expertise.
In the modern world where data is king, mastering data modelling is an indispensable skill. Our seasoned trainers, with their wealth of expertise, bring theoretical concepts to life by infusing them with practical applications and sharing insights from their real-world experiences. This approach not only makes the training more interactive but also enhances its effectiveness.
Who should attend Introduction Data Modelling
- Data Analysts: Professionals who work with data and need to understand how to represent and structure it.
- Database Administrators: Those who manage and maintain database systems.
- Data Scientists: Professionals who need to understand data structures for effective analysis.
- Business Analysts: Individuals who need to understand data models to make informed business decisions.
- IT Professionals: Those who work with data in various capacities and need to understand data modelling.
Prerequisites
Basic understanding of databases and familiarity with SQL is beneficial.
Objectives
At the end of the training, you will be able to:
- Differentiate between conceptual, logical, and physical data models.
- Understand the reasons for utilizing data models.
- Assess data models, ensuring compliance with 3NF.
- Create straightforward logical/ERD diagrams through practical assignments.
- Emphasize the importance of data analysis in effective modelling.
- Understand the significance of metadata and the role of data dictionaries.
- Explore BI models, specifically the star diagram.
- Understand the position of data modelling within the framework of DAMA.
-
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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 |