• ETL - Extract, Transform, Load (NL)

  • Group Training

    Gain insights into the ETL process, which extracts your data, transforms it, and loads it into a new data environment in the exact way you want.

    Training code
    CGADSETLCD
    Spoken Language
    Dutch
    Language Materials
    English
    Dayparts
    2
    Price
    €800,00
    excl. VAT No extra costs.

    Book ETL - Extract, Transform, Load (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.

    This course currently isn't planned. Please fill in your contact details below and we'll get in touch with you within two working days.

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    What is ETL - Extract, Transform, Load

    ETL stands for Extract, Transform, and Load. This training will help you gain insights into these processes, which extract your data from one environment, transforms it in your desired way, such that it can be loaded into a new data environment. During this training, the participants will dive deeper in all the steps that need to be taken while extracting data. We will also cover the building blocks for transforming data and everything that plays a role in loading the data in your new data environment. Participants will also learn about management aspects of ETL, process flows for slowly changing dimensions, error handling and performance tuning.

    Our trainers, with their vast expertise, bring theoretical concepts to life by providing insights from the real world and sharing best practices. ETL is a cornerstone in the realm of data management. By mastering it, you can substantially elevate your skills in managing data. This training is an investment in enhancing your professional capabilities in the ever-evolving field of data handling.

     
     

    Who should attend ETL - Extract, Transform, Load


    • Data Engineers: Professionals who design and build data processing systems.
    • Data Analysts: Professionals who work with data and need to understand the ETL process.
    • Database Administrators: Those who manage and maintain database systems.
    • Business Intelligence Professionals: Those who use data to make business decisions.
    • IT Professionals: Those who need to understand data handling processes.

    Prerequisites

    There are no specific requirements to participate in this training.

    Objectives

    At the end of the training, you will be able to:

    • Understand how the ETL process works.
    • Identify tools and approaches for ETL.
    • Understand the added value of ETL.

    This training covers all the key aspects of ETL and is designed to provide a comprehensive understanding of the subject.

     
    Incompany

    Gain insights into the ETL process, which extracts your data, transforms it, and loads it into a new data environment in the exact way you want.

    Training code
    CGADSETLCD
    Spoken Language
    Dutch
    Language Materials
    English
    Dayparts
    2
    Price
    €800,00
    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.

     

    What is ETL - Extract, Transform, Load

    ETL stands for Extract, Transform, and Load. This training will help you gain insights into these processes, which extract your data from one environment, transforms it in your desired way, such that it can be loaded into a new data environment. During this training, the participants will dive deeper in all the steps that need to be taken while extracting data. We will also cover the building blocks for transforming data and everything that plays a role in loading the data in your new data environment. Participants will also learn about management aspects of ETL, process flows for slowly changing dimensions, error handling and performance tuning.

    Our trainers, with their vast expertise, bring theoretical concepts to life by providing insights from the real world and sharing best practices. ETL is a cornerstone in the realm of data management. By mastering it, you can substantially elevate your skills in managing data. This training is an investment in enhancing your professional capabilities in the ever-evolving field of data handling.

     
     

    Who should attend ETL - Extract, Transform, Load


    • Data Engineers: Professionals who design and build data processing systems.
    • Data Analysts: Professionals who work with data and need to understand the ETL process.
    • Database Administrators: Those who manage and maintain database systems.
    • Business Intelligence Professionals: Those who use data to make business decisions.
    • IT Professionals: Those who need to understand data handling processes.

    Prerequisites

    There are no specific requirements to participate in this training.

    Objectives

    At the end of the training, you will be able to:

    • Understand how the ETL process works.
    • Identify tools and approaches for ETL.
    • Understand the added value of ETL.

    This training covers all the key aspects of ETL and is designed to provide a comprehensive understanding of the subject.

     
  • Related

    Fields of Expertise
    Data
     
  • 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.2.Component Integration     
    D.10.Information and Knowledge Management