océan de données – English Translation – Keybot Dictionary

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  www.cerc.gc.ca  
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Prise de décisions avisées à partir d’un océan de données
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Mining an ocean of data to create smart decision-making systems
  assadpower.com.tn  
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Analytics: de la clarté dans un océan de données
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Analytics: Put an end to the number chaos
  www.igcpromotions.com  
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Trouver un élément précis dans un océan de données est ce à quoi ton logiciel professionnel devrait exceller.
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BoxBrain makes finding data blazingly fast and incredibly simple.
  www.edmond-de-rothschild.com  
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Plongée dans un océan de données
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A springtime boost for Europe
  3 Hits www.mercator-ocean.fr  
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Mercator, un océan de données 21 juillet 2015
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Toulouse au cœur de l’info sur les…océans ! 21 September 2015
  www.asc-csa.gc.ca  
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Rien de surprenant au fait que l'équipe THEMIS nage littéralement dans un océan de données : elle recueille environ un gigaoctet de données par nuit et par site. Au dernier décompte, l'ensemble de données occupe 16 téraoctets après 2 à 4 ans d'exploitation.
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Not surprisingly, the THEMIS team is wading through enormous amounts of data: they collect about a gigabyte of data per night—per site. By last count, the data set is a whopping 16 Terabytes for 2 to 4 years of operation. The observatories are scheduled to continue operation well into 2011.
  www.smokymountains-hotels.com  
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Cherchez-la dans le Big Data! Mais bien sûr,  avant que vous vous plongiez dans cet océan de données qui vous attend devant vous, nous  vous recommandons que pensiez  bien où  vous allez vous lancer. Santé?
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• Advantage #1: Are you still looking for a business idea?  Look for it in Big Data! Of course, before diving into this huge ocean of data that awaits you, we recommend that you become very acquainted with what you’re getting yourself into. Health? Education? Transport?  Big Data can offer you many market trends, but you’re the one who needs to decide where and when you want to jump in.
  bondageporn.icu  
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En confrontant et laissant ces approches entrer en interaction, en échangeant des avis sur les différents systèmes complexes nous espérons acquérir de nouvelles idées et tenter de répondre à certaines questions: Comment à fonctionné la science jusqu'à présent, quelle à été son évolution, quelles possibilités d'évolution existent pour le futur? Comment obtenir des idées générales à partir d'un océan de données?
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There are many ways of studying complexity. They generally all handle it by trying to understand the dynamic behaviour of complex systems that range from individual organisms to the largest economic, technical, social, and political systems. By confronting and allowing these approaches to interact, by exchanging views on different complex systems, we expect to gain new ideas and to try to answer such questions as: Which way did science work until now, how did it evolve, and how might it evolve in the future? How can big pictures emerge from a sea of data?
  studies.unifr.ch  
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Par conséquent, d'énormes volumes de données sont aujourd'hui collectés en sciences biologiques et médicales, dans le but de décrire et de comprendre le fonctionnement de cellules, d'organismes complexes ou d'écosystèmes entiers. Cet océan de données pose des problèmes inédits: comment dégager et extraire les connaissances passionnantes renfermées dans ces données?
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It took 13 years and 3 billion dollars to decipher the human genome. Today, sequencing a whole genome takes but a few hours on a machine that fits on a tabletop at a tiny fraction of the original costs. Similar technological revolutions are underway in biological imaging, mass spectrometry based proteomics and metabolomics, or ecological remote sensing, just to name a few. Consequently, biological and medical sciences are now collecting enormous amounts of information with the goal to describe and understand how cells, complex organisms or entire ecosystems function. But this tsunami of data generates new challenges: How can we unearth and retrieve the exciting knowledge hidden in such data? How can we make such massive amounts of data available to the scientific community? A proper analysis of this trove of this data does not only require massive amounts calculation power, but also talented people with knowledge in both biology as well as in computer science and statistics to develop adequate and computationally fast analysis tools.