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EU Textiles Ecosystem Platform

Online Module on Big Data in Textiles

Library and support resources

18 December 2025

Online Module on Big Data in Textiles

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A stylized visualization of code and interconnected nodes, representing data flow, programming logic, and digital systems.

This module introduces Big Data, covering its characteristics, challenges, technologies, and applications. Learners will explore storage and processing methods, data mining, machine learning, ethical and privacy issues, and current trends, gaining skills to analyse Big Data and apply appropriate technologies and techniques.

Publishing org

TEX4.0 Project

Topics
Geographical descriptors

Albania

Armenia

Austria

Belgium

Bosnia and Herzegovina

Bulgaria

Croatia

Cyprus

Czechia

Denmark

Estonia

EU-27

Finland

France

Georgia

Germany

Greece

Hungary

Iceland

Ireland

Italy

Kosovo

Latvia

Liechtenstein

Lithuania

Luxembourg

Malta

Moldova

Montenegro

Netherlands

North Macedonia

Norway

Poland

Portugal

Romania

Serbia

Slovakia

Slovenia

Spain

Sweden

Switzerland

Türkiye

Ukraine

Other

Organisation Type

Other

  • Transition Pathway's building blocks

    • Skills

    • Social dimension

    • Sustainable competitiveness

  • Industrial ecosystems

    • Retail

    • Textile

  • Textiles ecosystem areas

    • Fibres, yarns and fabrics

    • Apparel and clothing accessories

    • Household/interior textiles

    • Technical textiles

    • Leather and fur

    • Footwear

    • Research and Innovation

    • Technology and Machinery

    • Waste management, reuse and repair

    • Business support and Communication

    • Not area specific (interested in more than one of the above)

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This module introduces the characteristics, challenges, technologies, and applications of Big Data, including storage, processing, data mining, machine learning, ethical considerations, and privacy.

📚 Learners will know:

  • characteristics and challenges of Big Data
  • technologies for Big Data storage and processing
  • data mining and ML techniques for large datasets
  • ethical and societal implications
  • security and privacy concerns
  • real-world applications
  • current trends and future directions

🎯 Learners will be able to:

  • analyse Big Data characteristics
  • evaluate technologies
  • apply analytical methods
  • assess ethical and security aspects

You can find this module, along with the full training catalog, at the following link: https://project-spaces.eu/tex4.0/

Documents

Big Data in Textiles
English
(679.08 KB - PDF)
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