Big Data
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What is data science? - O'Reilly Radar
We've all heard it: according to Hal Varian, statistics is the next sexy job . Five years ago, in What is Web 2.0 , Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data?
The interest on big data and open data is understandably growing all over the world. The combination of several technology innovations, in areas like social media, cloud computing, analytics, offer scenarios that we could hardly imagine in the past. And the trend toward greater transparency and openness that is being championed by many governments and NGOs is almost creating a “perfect storm” around the ability to extract wealth from the growing masses of data that are freely available over the Internet. It is not just about data that was previously kept behind boundaries and that governments are liberating through their various “data.gov” initiatives. It is also about new data that is generated through idea contests, online dialogues, social games, photo and video sharing sites, webcasts and webcams, and the likes.
Will We Exploit Data or Will Data Exploit Us?
This is a written follow-up to a talk presented at a recent Strata online event . A new breed of startup is emerging, built to take advantage of the rising tides of data across a variety of verticals and the maturing ecosystem of tools for its large-scale analysis. These are data startups, and they are the sumo wrestlers on the startup stage. The weight of data is a source of their competitive advantage.
Building data startups: Fast, big, and focused - O'Reilly Radar
A en croire certains, les organisations seraient assises sur des montagnes d’informations dont l’analyse et le croisement produirait une richesse, à ce jour impalpable. Il est vrai que la gestion de l’information est souvent le talon d’Achille des organisations. Seulement, alors qu’elles sont empêtrées dans des chantiers de mise en cohérence, voilà qu’on les incite à produire, et surtout à digérer, une nouvelle masse d’information : le « big data », actuellement au centre des débats.
Le Big Data ne répond à aucun besoin précis
C’est un marché particulièrement prometteur, une nouvelle ruée vers l’or. Cloudera, 10gen, Hadapt, Infochimps, Datastax, Mapr, Pervasive Datarush, Factual, Acunu, Apixio, Citrusleaf, Couchbase… toutes ces entreprises américaines ont été créées il y a moins de deux ans pour se positionner sur le Big Data. C’est-à-dire l’analyse et l’exploitation de grandes masses de données.
Big Data, la prochaine révolution informatique
The Business of Big Data
My colleague Andrew Cove and I gave a presentation today at General Assembly on the business of big data . This is something we think about daily at IA Ventures and rests squarely at the core of our investment thesis. The discussion covered:Says Solving 'Big Data' Challenge Involves More Than Just Managing Volumes of Data
Many IT leaders are attempting to manage "big data" challenges by focusing on the high volumes of information to the exclusion of the many other dimensions of information management, leaving massive challenges to be addressed later, according to Gartner, Inc. Big data is a popular term used to acknowledge the exponential growth, availability and use of information in the data-rich landscape of tomorrow. The term "big data" puts an inordinate focus on the issue of information volume (in every aspect from storage through transform/transport to analysis). Big data is also heavily weighted toward current issues and can lead to short-sighted decisions that will hamper the enterprise's information architecture as IT leaders try to expand and change it to meet changing business needs.
Par Hubert Guillaud le 04/05/11 | 7 commentaires | 3,726 lectures | Impression La démultiplication des outils de collecte de données (comme le web ou nos téléphones mobiles qui enregistrent très facilement nos déplacements, mais également nos actions, nos relations…) et l’amélioration des outils d’analyses de données offrent aux entreprises des moyens marketing de plus en plus inédits, estime Lee Gomes pour la Technology Review . Et de donner un exemple simple et frappant : celui des Giants de San Francisco, l’équipe de baseball américain championne du monde et championne de la ligue nationale, qui a mis en place une tarification dynamique mise au point par Qcue , permettant de modifier le prix des billets en fonction de la demande, et ce, jusqu’à la dernière minute.