2. Big data
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Support de mon cours sur "big data" en M2 "Sociologie et TIC" l'Universit辿 de Pau et des Pays de l'Adour. Partie 2 : big data
!["Avec suffisamment de
donn辿es,
les chiffres parlent tout
seuls"
Chris Anderson
Image :By Joi[CC BY 2.0], via Wikimedia Commons](https://image.slidesharecdn.com/2-bigdata-180226090542/85/2-Big-data-3-320.jpg)
![Data driven management
HIghest Paid Persons Opinion
By Gusjer (Hippo at dawn. Chobe National Park) [CC BY 2.0
(http://creativecommons.org/licenses/by/2.0)], via Wikimedia Commons](https://image.slidesharecdn.com/2-bigdata-180226090542/85/2-Big-data-4-320.jpg)
![Recherche Google
By en:User:345Kai, User:Stannered [Public domain], via Wikimedia Commons](https://image.slidesharecdn.com/2-bigdata-180226090542/85/2-Big-data-14-320.jpg)
2. Big data
- 1. Big data Benoit Lacherez blacherez@gmail.com Sauf indication contraire, tout le contenu de cette pr辿sentation est sous licence CC BY 4.0 France
- 2. Big data - approche intuitive
- 3. "Avec suffisamment de donn辿es, les chiffres parlent tout seuls" Chris Anderson Image :By Joi[CC BY 2.0], via Wikimedia Commons
- 4. Data driven management HIghest Paid Persons 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 Densit辿 Volume Big data Data brokers ? Base de donn辿es SI classique Densit辿 Dapr竪s Delort, Pierre. 2015. Le Big data. 1竪re 辿dition. Que Sais-je? 4027. Paris: PUF.
- 8. Big data - En tant que ph辿nom竪ne 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. 束 Critical Questions for Big Data 損. Information, Communication & Society 15, no 5 (1 juin 2012): 663
- 11. Google Flu
- 14. Recherche Google By en:User:345Kai, User:Stannered [Public domain], via Wikimedia Commons
- 15. Utilisation des r辿seaux sociaux pour le tourisme
- 16. Facebook
- 17. Opinion mining