Big Data : l'impact des données sur la société actuelle

This introductory module presents the specialization course, explains the course contents, organization, evaluation criteria, and provides answers to frequently asked questions.

This module explores the continuous growth of data, analyzes its potential impact in many fields of human activity, and examines the challenges they pose in all areas of social life. It covers the democratization of Big Data, the impact of data on business and society, data-based decision making, and related challenges.

This module delves deeper into the impact of big data on today's society and introduces the processing of massive data following a complete methodology, from the business problem to the implementation of the analytical solution. It covers what Big Data is, data processing methodology, business understanding, data understanding, technological platforms, data treatment (preparation and fusion), modeling, results presentation, deployment, value creation, and monitoring.

This module examines how massive data is used in many diverse areas of human activity: in science, education, productive activities, commerce, public and business administration, politics, health care, etc. It presents 5 cases of Big Data application in sectors such as retail, insurance, banking, telecommunications, and transport, followed by opinions from three experts on the impact of these large volumes of data on media, social sciences, and scientific research.

This module studies the main Big Data technologies and infrastructures, the Hadoop system and other similar systems, examining their most relevant characteristics and features. These tools will be treated in more depth and will be applied in practical cases in the following courses of the Big Data Specialization. It covers massive data generation, Big Data concepts, Data Lake, Hadoop ecosystem, Big Data components, IaaS, PaaS, SaaS, and how to face infrastructure challenges.