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Volume, Velocity, Variety, Veracity. Also known as the 4 V's when it comes to Big Data. But what makes this Big Data? And what can you do with this?

Spoken language
Dutch
Language material
English
Half-days
1
Data

Introduction Big Data (NL)

Fri 07 February 2025 09:00 - 16:30 Location: Utrecht
This training is conducted by: Gert-Jan Kooren
€800,- Enrol
Fri 29 August 2025 09:00 - 16:30 Location: Utrecht
This training is conducted by: Gert-Jan Kooren
€800,- Enrol

What is Introduction Big Data

In this ‘Introduction Big Data’ training, you will explore the vast world of Big Data, a collection of data that is so large and complex that traditional databases cannot efficiently store or process it. You will learn the basic concepts and techniques of Big Data and how it fits within the data architecture. The training will also cover various trends and developments in the field of Big Data.

Our trainers, who are seasoned professionals in the field, bring theoretical concepts to life by adding a practical perspective, offering insights drawn from their real-world experiences and sharing industry best practices. This comprehensive training is designed to empower you with the necessary knowledge and skills to adeptly navigate the intricate world of Big Data.


Who should attend Introduction Big Data

  • Data Engineers: Professionals who work in data driven environments and need to incorporate Big Data solutions.
  • Business Analysts and Information Analysts: Individuals who map requirements for data systems and create logical designs for them and want to utilize the power of Big Data.
  • Data Architects: Those who design and build data systems and want to incorporate Big Data solutions.
  • Data Analysts: Professionals who work with data and want to understand the potential of Big Data.
  • Data Scientists: Professionals who build models and algorithms and can benefit from the additional insights provided by Big Data.
  • IT Managers: Professionals overseeing IT infrastructure who need to understand how Big Data fits into their strategy.


Prerequisites

There are no specific requirements to participate in this training.


Objectives

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

  • Understand the reasons for having a data warehouse/data lake and business intelligence.
  • Recognize the reasons for using Big Data technology.
  • Familiarize yourself with the terminology around Big Data.
  • Understand the concept of Big Data and Data Lakes.
  • Stay updated with the trends and developments in the field of Big Data.

This training is a great opportunity to enhance your skills and understanding of Big Data. Join us for an enriching learning experience!


e-CF competences with this course

  • A.5. Architecture Design
  • A.6. Application Design
  • B.2. Component Integration
  • D.10. Information and Knowledge Management

Classroom, online, blended and in-company

At Capgemini Academy you learn in the way that suits you. Do you prefer classroom training, online or a combination of the two (blended)? You can follow most training courses in-company: within your own organization. We use a variety of tools to make learning even more fun and effective. Consider videos, games, quizzes, webinars and case studies, for example. And you can always contact your trainer with any questions.

Sfeerbeeld buiten met man in bordeaux overhemd

In-company training courses

With an in-company training you have several advantages:

  • You choose the location.
  • You train with your colleagues, ensuring it aligns with your practice.
  • The trainer tailors explanations, examples and assignments to your organization.
  • In consultation, exercises can be adapted to organization-specific questions.

Request more information or a quote.

Why Capgemini Academy?

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    Part of one of the largest, most innovative IT service providers worldwide.
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    Large training offer: both fully online and available in class.
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    Most training courses include certification and exam.
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    Trainers with passion, didactic skills and a good dose of practical experience as an IT professional.
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    Our students rate our training courses with an average of 8.8.