🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
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Data Fundamentals Training - Discover the Data Ecosystem in 1 Day

Data has become the "core asset" of modern enterprises. This training session aims to provide a complete overview of the Data ecosystem. We will briefly trace the history of data to understand the technological breakthroughs (Big Data, Cloud) and clearly define concepts that are often confused such as Artificial Intelligence, Machine Learning, and GenAI. Beyond definitions, this course covers team structuring (roles, product organization) and technical architectures (Data Mesh, Data Fabric). It is the ideal module to acquire a solid technical understanding and comprehend how a company truly becomes "Data-Driven".

WEnvision
✓ Official training WEnvisionLevel Fundamentals⏱️ 1 day (7h)

What you will learn

  • Master essential vocabulary: from descriptive to prescriptive analytics, including AI and Machine Learning.
  • Understand the evolution of data architectures (OLTP vs OLAP, Data Lake, Lakehouse...) and new paradigms like Data Mesh.
  • Identify key roles in a data organization (Data Engineer, Data Scientist, Product Owner...) and the concept of "Data Product".
  • Understand concrete use cases of AI and Data in various sectors (Healthcare, Finance, Industry...).

Prerequisites

  • No technical prerequisites.
  • Curiosity about digital technology and business challenges is recommended.
  • A computer with internet connection to access materials and collaboration tools.

Target audience

  • Any employee looking to understand data challenges: Managers, Project Managers, Business teams (Marketing, HR, Finance), CTOs, Tech teams and decision-makers

Training Program

2 modules to master the fundamentals

Topics covered
  • →Brief history of data and the 4 major technological breakthroughs
  • →The 4 big challenges: Volume, Variety, Velocity, Veracity
  • →The analytical maturity scale: from descriptive to prescriptive
  • →Demystifying AI: differences between AI, Machine Learning, Deep Learning and Generative AI (LLM)
Topics covered
  • →Data activity organizations: data factory, data governance, data mesh
  • →Data professions: Who does what? (Data Engineer, Data Scientist, Data Analyst, CDO)
  • →The concept of "Data Product": managing data as a product with a lifecycle
  • →Data Platforms: Understanding the evolution of data platforms and tools (from ETL/ELT to BI and AI-GenAI)
Activities

Collaborative workshop: Determine the organization's data maturity and sketch a conceptual data platform

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Upcoming sessions

No date suits you?

We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.

Register for a custom date

Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Frequently Asked Questions

No technical prerequisites are required. Curiosity about digital technology and business challenges is recommended. A computer with internet connection is needed to access materials and collaboration tools.
This training is designed for any employee looking to understand data challenges: managers, project managers, business teams (Marketing, HR, Finance), CTOs, tech teams, and decision-makers.
The training covers the history of data and the 4 major technological breakthroughs, Volume/Variety/Velocity/Veracity challenges, demystifying AI (ML, Deep Learning, Generative AI, LLM), data organizations (data factory, data mesh), data professions, and platform architectures (ETL/ELT, BI, AI-GenAI).
Yes, the training includes a collaborative workshop where participants determine their organization's data maturity and sketch a conceptual data platform.
The Data Fundamentals training provides a complete overview of the Data ecosystem (history, AI, architectures, roles). The Data Governance training focuses on data asset management: the 4 pillars of governance, Data Catalog, data quality, and MDM.
Our training organizations SFEIR SAS and SFEIR-Est are Qualiopi certified for training activities, which allows you to request funding from your OPCO. Funding approval remains at your OPCO's discretion. Contact us for a quote.

790€ excl. VAT

per learner

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