The document discusses the concept of big data as a cultural, technological, and scholarly phenomenon, emphasizing the interplay of technology, analysis, and mythology. It presents various applications of big data, such as in recommendations by companies like Amazon and Google, and highlights the notion that large datasets can yield insights previously deemed impossible. Additionally, it touches on the use of big data in fields like tourism and judicial decision-making.

1. Big data
Benoit Lacherez
blacherez@gmail.com
Sauf indication contraire, tout le contenu de cette présentation est sous licence CC BY 4.0 France

2. Big data - approche intuitive

3. "Avec suffisamment de
données,
les chiffres parlent tout
seuls"
Chris Anderson
Image :By Joi[CC BY 2.0], via Wikimedia Commons

4. Data driven management
HIghest Paid Person’s Opinion
By Gusjer (Hippo at dawn. Chobe National Park) [CC BY 2.0
(http://creativecommons.org/licenses/by/2.0)], via Wikimedia Commons

5. Les 3 V

7. Volume x Densité
Volume
Big data Data brokers
? Base de données SI classique
Densité
D’après Delort, Pierre. 2015. Le Big data. 1ère édition. Que Sais-je ? 4027. Paris: PUF.

8. Big data - En tant que phénomène culturel
“We define Big Data as a cultural, technological, and scholarly phenomenon
that rests on the interplay of:
(1) Technology: maximizing computation power and algorithmic accuracy to
gather, analyze, link, and compare large data sets.
(2) Analysis: drawing on large data sets to identify patterns in order to make
economic, social, technical, and legal claims.
(3) Mythology: the widespread belief that large data sets offer a higher form of
intelligence and knowledge that can generate insights that were previously
impossible, with the aura of truth, objectivity, and accuracy.”
danah boyd et Kate Crawford. « Critical Questions for Big Data ». Information, Communication & Society 15, no
5 (1
juin 2012): 663

9. Exemples d’utilisation

10. Recommandations Amazon

11. Google Flu

12. http://www.leparisien.fr/faits-divers/justice-un-logiciel-pour-aider-les-juges-a-decider-26-04-2017-6890301.php

13. https://www.dalloz-actualite.fr/interview/l-utilisation-de-l-outil-predictice-decoit-cour-d-appel-de-rennes

14. Recherche Google
By en:User:345Kai, User:Stannered [Public domain], via Wikimedia Commons

15. Utilisation des réseaux sociaux pour le tourisme

16. Facebook

17. Opinion mining

18. Détection d’anomalies
Source:
https://channel9.msdn.com/Blogs/Azure/thyssenkrupp-giving-cities-a-lift-with-the-inter
net-of-things