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Introduction Data Modelling
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Bridge the gap between business and IT by using data modeling! Our Introduction to Data Modeling course equips you with skills vital for diverse roles in leveraging data effectively.
Training codeCGADAMODCDSpoken LanguageDutchLanguage MaterialsEnglishDayparts2Price€800,00excl. 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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19-7-2024Utrecht
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21-8-2024Utrecht
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20-9-2024Utrecht
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Introduction Data Modelling
10
8.5
0
38 reviewsWhat is Introduction Data Modelling
Whether you're new to data modeling or seeking to refine your skills, our training covers the spectrum. Understand conceptual, logical, and physical data models, assess data models, and create effective logical/ERD diagrams. Delve into BI models, metadata importance, and DAMA principles for comprehensive data modeling expertise.
Bridge theory with practical application! Our trainers infuse real-world insights into theoretical concepts. Acquire skills applicable across various roles, enhancing your organization's data modeling proficiency. Boost your career by understanding the significance of standardized data modeling, essential for impactful decision-making.
Who should attend Introduction Data Modelling
This training is intended for:
- Business Analysts: Acquire modeling techniques for providing the right data structure.
- Information Analysts: Acquire modeling techniques for providing the right data structure.
- Data Visualisation Experts: Understand the structure of the input model for reporting and analysis.
- Data Architects: Refine conceptual, logical, and physical modeling proficiency.
- Database Administrators: Enhance data modeling skills beyond administrative functions.
- Project Managers: Ensure effective use of data models for project success.
- IT Professionals: Understand the core principles of BI models and metadata.
Prerequisites
No prior data modeling experience required. Basic familiarity with data concepts is beneficial.
Objectives
After completing this training, the participant has knowledge of:
- Differentiate between conceptual, logical, and physical data models.
- Grasp the reasons for utilizing data models.
- Assess data models, ensuring compliance with 3NF.
- Create logical/ERD diagrams through practical assignments.
- Emphasize the importance of data analysis in effective modeling.
- Understand metadata significance and the role of data dictionaries.
- Explore BI models, specifically the star diagram.
- Understand the position of data modeling within the framework of DAMA.
Bridge the gap between business and IT by using data modeling! Our Introduction to Data Modeling course equips you with skills vital for diverse roles in leveraging data effectively.
Training codeCGADAMODCDSpoken LanguageDutchLanguage 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
10
8.5
0
38 reviewsWhat is Introduction Data Modelling
Whether you're new to data modeling or seeking to refine your skills, our training covers the spectrum. Understand conceptual, logical, and physical data models, assess data models, and create effective logical/ERD diagrams. Delve into BI models, metadata importance, and DAMA principles for comprehensive data modeling expertise.
Bridge theory with practical application! Our trainers infuse real-world insights into theoretical concepts. Acquire skills applicable across various roles, enhancing your organization's data modeling proficiency. Boost your career by understanding the significance of standardized data modeling, essential for impactful decision-making.
Who should attend Introduction Data Modelling
This training is intended for:
- Business Analysts: Acquire modeling techniques for providing the right data structure.
- Information Analysts: Acquire modeling techniques for providing the right data structure.
- Data Visualisation Experts: Understand the structure of the input model for reporting and analysis.
- Data Architects: Refine conceptual, logical, and physical modeling proficiency.
- Database Administrators: Enhance data modeling skills beyond administrative functions.
- Project Managers: Ensure effective use of data models for project success.
- IT Professionals: Understand the core principles of BI models and metadata.
Prerequisites
No prior data modeling experience required. Basic familiarity with data concepts is beneficial.
Objectives
After completing this training, the participant has knowledge of:
- Differentiate between conceptual, logical, and physical data models.
- Grasp the reasons for utilizing data models.
- Assess data models, ensuring compliance with 3NF.
- Create logical/ERD diagrams through practical assignments.
- Emphasize the importance of data analysis in effective modeling.
- Understand metadata significance and the role of data dictionaries.
- Explore BI models, specifically the star diagram.
- Understand the position of data modeling 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 |