Data Modelling
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  • Data Modelling

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

    Book 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.

    • 30-11-2018
      Utrecht
      €645,00
      €645,00
    Training code
    CGAWPLDMAD
    Spoken Language
    Dutch
    Language Materials
    Dutch
    Price
    €1.495,00
    excl. VAT No extra costs.

    Individual booking

    Workplace Learning means that you learn exactly what you need. With the trainer you determine your specific objectives. Over a period of maximum 3 months and within your day-to-day work, you develop the competences you need through specific assignments and feedback. Check the Spoken Language on the left for language info.

    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.

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

    Book 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.

    • 30-11-2018
      Utrecht
      €645,00
      €645,00
  • What is Data Modelling

    You are aware that data modelling is a skill that not only a database administrator possesses. You think normalization is a term to denote the end of the cold war or you have never made a ERD that was understood by others!
     
    In all these cases, this course is suitable for you. The organization for which you work will benefit from the modelling skills and you learn the use of DAMA DMBOK (data modelling is one of its core areas). 
     
    At the end of this training, participants will have gained knowledge of:
     
    o    The differences between Conceptual - Logical - Physical models
    o    The reasons why you use data models
    o    Judging 3NF data models
    o    Making a (logical / ERD diagrams) data model (via assignments).
    o    The importance of data analysis for good (re) modelling.
    o    The importance of meta data and recording of metadata (data dictionary).
    o    BI models (star diagram).
    o    Modelling within DAMA.

    At the end of this training, participants will be able to:
    o    Read and interpret a Logical Data Model
    o    Create a normalised Data Model based on 3NF
    o    apply the correct model at the right time
    o    use different diagram techniques (ERD, UML)
    o    use all possible sources of data
    o    communicate with all parties involved
     

  • Who is Data Modelling for

    This training is designed for:
    o    Starters at the beginning of their career
    o    People who make a career switch to Business Intelligence
    o    People working in IT, in particular within Business Intelligence in the role of
        Software Engineer
        Business Analyst
        BI Consultant
        Functional Designer
        Report Builder.
    No prior education is required.
    The training is tailored to the needs of the participants, whether you join a group course, or if you join an individual course like Workplace Learning.
     

  • Related

    Fields of Expertise
    Data Analytics