• Introduction Data Modelling training

  • Group Training

    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 code
    CGADAMODCD
    Spoken Language
    Dutch
    Language Materials
    English
    Dayparts
    2
    Price
    €645,00
    excl. VAT No extra costs.

    Book Introduction Data Modelling now

    This course will mostly take place in a group setting. We use several learning methods to help you obtain the knowledge, give you helpful insights and get you inspired. Check the Spoken Language on the left for language info.

    • 20-11-2020
      Utrecht
      €645,00
      €645,00
    • 25-2-2021
      Utrecht
      €645,00
      €645,00
    • 18-5-2021
      Utrecht
      €645,00
      €645,00
    • 16-8-2021
      Utrecht
      €645,00
      €645,00
    Introduction Data Modelling
    10
    8.2
    0
    12 reviews
     

    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

    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 the 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 education is required.
    The training is tailored to the needs of the participants, whether you do it as a group or individually as Workplace Learning.

    Prerequisites

    No specific prior education 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

     
    Incompany

    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 code
    CGADAMODCD
    Spoken Language
    Dutch
    Language Materials
    English
    Dayparts
    2
    Price
    €645,00
    excl. 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
    8.2
    0
    12 reviews
     

    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

    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 the 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 education is required.
    The training is tailored to the needs of the participants, whether you do it as a group or individually as Workplace Learning.

    Prerequisites

    No specific prior education 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

     
  • Related

    Fields of Expertise
    Data Analytics
     
  • 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 Level12345
    B.1.Application Development     
    D.10.Information and Knowledge Management