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Digital Data
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Curated by Pierre Tran
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Big Data : un marché évalué à 2,2 milliards d’euros en Europe

Big Data : un marché évalué à 2,2 milliards d’euros en Europe | Digital Data | Scoop.it
Le Big Data en entreprise, c’est encore beaucoup d’infrastructure : 850 millions de dollars (stockage et serveurs) en 2013 sur un marché total évalué à 2,3 milliards par IDC. Pour les sociétés de services et les éditeurs, les opportunités sont là aussi.
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Le Big Data : une révolution aussi importante que celle d'Internet !

Le Big Data : une révolution aussi importante que celle d'Internet ! | Digital Data | Scoop.it

Pour 90% des décideurs d'entreprise le traitement massif de données va engendrer un bouleversement au moins aussi important que celui d'Internet. Dixit une étude d'Accenture.

Antoine Crochet- Damais, 11/09/2014

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Who Are Big Data's Big Winners? You Might Be Surprised

Who Are Big Data's Big Winners? You Might Be Surprised | Digital Data | Scoop.it

Think users, not technology providers.

For those of you still scratching your head over the ins-and-outs of Hive, Spark and Pig, don't bother. There's a race on to make complex Big Data technology like Hadoop easy for the lay user, and it has the added benefit of making you rich.


Matt Asay., 10/09/2014


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Devenir Data-Scientist : les formations et les MOOC Big Data l Data-Business.fr

Devenir Data-Scientist : les formations et les MOOC Big Data l Data-Business.fr | Digital Data | Scoop.it
Si les formations Big Data existent depuis 2013 en France (Télécom Paris, ENSAE, HEC), les MOOCs restent le moyen privilégié pour les futurs data scientists

Via Kareen Frascaria
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Data as Code. Code as Data: Tighther Semantic Web Development Using Clojure

Data as Code. Code as Data: Tighther Semantic Web Development Using Clojure | Digital Data | Scoop.it

I did write hundred of thousands of line of codes with one goal in mind: leveraging the ideas and concepts of the Semantic Web to make me, other developers, ontologists and data-scientists working more accurately and efficiently with any kind data.

However, even after doing all that, I was still feeling a void: a disconnection between how I was think about data and how I was manipulating it using the programming languages I was using, the libraries I was leveraging and the web services that I was developing. 

Frédéric Giasson, 26/05/2014

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How to use big data to predict the success of your startup

How to use big data to predict the success of your startup | Digital Data | Scoop.it

Big data. You’ve heard about it. You’ve read about it. Maybe you’re building tools that are shaping it. No matter if you’ve taken advantage of it or not, big data has the power to let you analyze success with more accuracy.

KES THYGESEN, 02/05/2014

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Big Data is the new Artificial Intelligence

Big Data is the new Artificial Intelligence | Digital Data | Scoop.it

This is the first of a couple columns about a growing trend in Artificial Intelligence (AI) and how it is likely to be integrated in our culture. Computerworld ran an interesting overview article on the subject yesterday that got me thinking not only about where this technology is going but how it is likely to affect us not just as a people. but as individuals. How is AI likely to affect me? The answer is scary.

Robert X. Cringely, 16/04/2014

Pierre Tran's insight:

L'intelligence artificielle, telle que conçue dans les années 80 à base d'algorithmes et de puissance informatique, a échoué. Aujourd'hui, les ordinateurs se nourrissent de big data et apprennent par eux-mêmes.

Ceux qui prédisent le futur ont tendance à surestimer le changement à court terme et à sous-estimer celui à long terme. 

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Pierre Tran's curator insight, April 17, 9:56 PM

L'intelligence artificielle, telle que conçue dans les années 80 à base d'algorithmes et de puissance informatique, a échoué. Aujourd'hui, les ordinateurs se nourrissent de big data et apprennent par eux-mêmes.

Ceux qui prédisent le futur ont tendance à surestimer le changement à court terme et à sous-estimer celui à long terme. 

Alice Maria Costa's curator insight, April 20, 8:20 AM

Como um afeta AI te?

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The Origins of 'Big Data': An Etymological Detective Story

The Origins of 'Big Data': An Etymological Detective Story | Digital Data | Scoop.it
Tracing the origins of the term “Big Data” shows how digital technology is changing the way words and ideas develop and spread, and how they are studied.
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The Chief Data Officer: An executive whose time has come

The Chief Data Officer: An executive whose time has come | Digital Data | Scoop.it
Data is becoming so important to understand and building a business that you need someone at the top to evaluate what data business should collect and how to make sense of it all.

Via Pierre Levy
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"Data Scientist" catches "Statistician", surpasses "Data Miner"

"Data Scientist" catches "Statistician", surpasses "Data Miner" | Digital Data | Scoop.it

The rapidly rising term "Data Scientist" caught up with "Statistician" and surpassed "Data Miner" on Google Trends. However, Statistics remains a lot more popular than "Data Science", which begs the question: What do Data Scientists do? Clearly, it is not Data Science.

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Big Data. La révolution des données

Big Data. La révolution des données | Digital Data | Scoop.it

Volume infini, temps réel et formats déstructurés caractérisent les données du Big Data. De leur capacité à gérer et analyser ces données dépend la compétitivité des entreprises, des organisations et des territoires. L'AWT fait le point sur un phénomène au coeur de la révolution numérique.

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Why you should never trust a data visualisation

Why you should never trust a data visualisation | Digital Data | Scoop.it
Pete Warden is spot on about being sceptical of data, but it is data visualisation, not data science, where caution is most crucial
Pierre Tran's insight:

Une mise en garde contre l'acceptation aveugle des datavisualisations

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The Big Data open source tools landscape

The Big Data open source tools landscape | Digital Data | Scoop.it

There are already so many open source tools related to Big Data. Check out the below figure to find out about the most important open source tools for big data. In the near future we will describe each open source tool in more detail. At the moment you can click the logo’s to open the respective website.

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Quelle data-éthique pour notre civilisation numérique ?

Quelle data-éthique pour notre civilisation numérique ? | Digital Data | Scoop.it

Le mot « donnée » est utilisé tous les jours. Mais son sens s’est perdu. Pourtant il est magnifique quand on le regarde avec une attention toute étymologique : « donnée », quelque chose qui est du registre du don. On n’en est plus là. La donnée est devenue une denrée, un bien monnayable, un nouvel or noir pour les nouveaux Rockefeller. Et un comble, la donnée ne nous appartient plus totalement dès qu’elle est produite tout au long de la journée et de la vie : le post sur Facebook, la recherche sur Google, le déplacement avec Foursquare, …

Pierre Paperon, 18/09/2014
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Infographie Big Data France 2014 - approches sectorielles & métiers

Infographie Big Data France 2014 - approches sectorielles & métiers | Digital Data | Scoop.it
Cette infographie illustre quelques unes des approches sectorielles et métiers en matière de Big Data. Elle est extraite de l'étude MARKESS menée auprès de plus de 220 décideurs métiers et informatiques au sein d'entreprises et administrations en France sur leurs...
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INRIA : « tout le monde confond Big Data et Machine Learning »

INRIA : « tout le monde confond Big Data et Machine Learning » | Digital Data | Scoop.it
INRIA : « tout le monde confond Big Data et Machine Learning » La Revue du digital Les articles des journalistes et les échanges sur les réseaux sociaux montrent la confusion qui existe entre le Big Data et l'analyse prédictive, également appelée...

Via Kareen Frascaria
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The Modern Data Nerd Isn’t as Nerdy as You Think | Enterprise | WIRED

The Modern Data Nerd Isn’t as Nerdy as You Think | Enterprise | WIRED | Digital Data | Scoop.it
Data scientists are fast becoming the rock stars of the 21st century. Thanks in part to Nate Silver's eerily accurate election predictions and Paul DePodesta's baseball-revolutionizing Moneyball techniques, math nerds have become celebrities. It's debatable how much their work differs from what statisticians have done for years, but it's a growing field, and many companies are desperate to hire their own data scientists. The irony is that many of these math nerds aren't as math nerdy as you might expect.

Via Carla Gentry CSPO
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Carla Gentry CSPO's curator insight, June 15, 6:04 AM

No matter what degree they earn, Candido says, data scientists are never done learning. 

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The first rule of data science

The first rule of data science | Digital Data | Scoop.it

How data is opening doors, revolutionizing science, and connecting the world.

Anum Azam, 27/04/2014
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Les données ? C'est de la merde. Justement.

Les données ? C'est de la merde. Justement. | Digital Data | Scoop.it

Ok. J'explique rapidement le titre un tantinet vulgaire. A l'occasion de la conférence CHI 2014 (sur les interfaces / interactions homme-machine) un groupe d'étudiants a publié un site sur un prototype un peu particulier dédié au "quantified self" : des toilettes. Des "Quantified Toilets" très exactement. Et oui.

Olivier Ertzscheid, 02/05/2014

Pierre Tran's insight:

Des Quantified Toilets à la femme qui voulait cacher sa grossesse, en passant par l'interprétation freudienne de la rétention des données, pourquoi les données, c'est de la merde. La grande illusion c'est de croire que plus il y a de données, plus le profilage sera consistant.

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Why the only thing better than big data is bigger data

Why the only thing better than big data is bigger data | Digital Data | Scoop.it
For many businesses, big data is superfluous. Except, a recently-published paper on the mathematics of big data reveals, when it isn't. It turns out there is a kind of data that, like black holes or evil wizards of Middle Earth, only becomes more powerful the larger it grows. What's more, suggest researchers Enric Junqué de Fortuny, David Martens...
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Les Data Scientists : nouvelles rock stars de l’IT ?

Les Data Scientists : nouvelles rock stars de l’IT ? | Digital Data | Scoop.it
Que recouvre au juste le terme de "Data Scientist" ? Quelles sont ses compétences ? Pourquoi ces profils seront-ils très recherchés ces prochaines années ?
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The Data Economy - What Changes Will Big Data Analytics Bring?

The Data Economy - What Changes Will Big Data Analytics Bring? | Digital Data | Scoop.it

It’s prediction time again. With all of the certainty that many outlets are predicting for 2014, we decided to look a little farther ahead. Here are some predictions about the ways that real-time data analytics will change our lives.

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Data Science Weekly Newsletter - Issue 4

Data Science Weekly Newsletter - Issue 4 | Digital Data | Scoop.it
Data Science Weekly Newsletter Issue 4: news, articles and jobs related to Data Science
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Panorama des technologies Big Data

Panorama des technologies Big Data | Digital Data | Scoop.it

L’écosystème dit « Big Data » est extrêmement riche et varié, et que les projets open ou commerciaux fleurissent chaque semaine.

Le but de cet article est de donner un aperçu des principaux acteurs technologiques et des cas d’utilisation que l’on peut leur associer.

Pierre Tran's insight:

Petit panorama de l'écosystème Big Data aujourd'hui. On retiendra 3 acteurs principaux : Hadoop, Cassandra et Mahout.

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A Three-Step Process For Analyzing Qualitative Data

A Three-Step Process For Analyzing Qualitative Data | Digital Data | Scoop.it

A question I often get when discussing online qualitative exercises is: what does the output look like? It’s true that qualitative data doesn’t come as easily packaged in a nice graph or chart as quantitative data does. In fact, how you analyze and captivatingly display qualitative results is a process that requires not only an analytical and logical mind but also a creative touch.

Pierre Tran's insight:

Trois étapes pour mettre en valeur une analyse de données qualitives. Le plus important est finalement de savoir raconter une histoire avec les données.

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