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Big data engineering fundamentals

Data projects need a clear view of flows and responsibilities. Explore big data architectures, processing stages and the roles that make them work. Develop reference points for understanding technical constraints and contributing to better-coordinated projects.

Program PDF
3 days 21 hours
FC-BDE Code

Presentation

A big data engineer works alongside data scientists and is responsible for designing IT architectures and developing software used to store large volumes of data. Their main objective is to establish a data processing system and ensure data is used effectively. Data engineers also create databases suited to the business and carry out regular tests to ensure they remain usable. They are also responsible for correctly implementing complex data analysis algorithms.

This Level 1 programme provides data engineering fundamentals, introducing big data methodologies and challenges. You will learn to select the most suitable approach to structuring a data architecture and the technical solutions for implementing it in a given situation.

By the end of this 3-day course, you will have the skills and knowledge needed to understand big data engineering. Practical exercises teach you to use appropriate tools and methods to build an effective data model.

Objectives

By the end of the big data engineering course, you will be able to:

  • understand what big data is and how it emerged;
  • use appropriate data tools and infrastructure for a given situation;
  • understand how to create a powerful data model for a critical use case.
Last update: 24/09/2026