Data center
An operation engineer overseeing a network operations control room of a data center A data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems. It generally includes redundant or backup power supplies, redundant data communications connections, environmental controls (e.g., air conditioning, fire suppression) and various security devices. History[edit] Data centers have their roots in the huge computer rooms of the early ages of the computing industry. The boom of data centers came during the dot-com bubble. With an increase in the uptake of cloud computing, business and government organizations are scrutinizing data centers to a higher degree in areas such as security, availability, environmental impact and adherence to standards. Requirements for modern data centers[edit] Racks of telecommunications equipment in part of a data center Standardization means integrated building and equipment engineering.
Big data, like Soylent Green, is made of people | Digital Labor Working Group
Karen Gregory | City College Ghost in the Machine Response to Frank Pasquale given at Triple Canopy November 1, 2014 Discussions of automation have, of late, seemed to bifurcate along two lines. The first line suggests that we, the puny humans, are doomed. The machines (the robots, bots, algorithms, algorithmic architectures…) have arrived and they are better than us. Therefore, they have or will soon win capitalism’s great hierarchical and competitive race to the bottom. The second line of flight also suggests we are doomed, but this time by our own visions of utopia. Beyond this bifurcation of doom, we can also see—particularly in Frank’s work on health care— that automation, in tandem with big data and ubiquitous computing, promises a form of personalized care that is actually predicated on the participation of a much larger and abstract social body. I would argue that we are in the midst of a crisis of the social imagination.
Big data
Un article de Wikipédia, l'encyclopédie libre. Une visualisation des données créée par IBM[1] montre que les big data que Wikipedia modifie à l'aide du robot Pearle ont plus de signification lorsqu'elles sont mises en valeur par des couleurs et des localisations[2]. Croissance et Numérisation de la Capacité de Stockage Mondiale de L'information[3]. Dans ces nouveaux ordres de grandeur, la capture, le stockage, la recherche, le partage, l'analyse et la visualisation des données doivent être redéfinis. Certains supposent qu'ils pourraient aider les entreprises à réduire les risques et faciliter la prise de décision, ou créer la différence grâce à l'analyse prédictive et une « expérience client » plus personnalisée et contextualisée. Dimensions des big data[modifier | modifier le code] Le Big Data s'accompagne du développement d'applications à visée analytique, qui traitent les données pour en tirer du sens[15]. Volume[modifier | modifier le code] Variété[modifier | modifier le code]
Gartner - Big Data
IT Glossary Gartner IT Glossary > Big Data Big Data inShare44 Big data is high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation. FREE Webinar: Key Trends and Emerging Technologies in Advanced Analytics FREE Research: Answering Big Data’s 10 Biggest Vision and Strategy Questions Summary Article Name What is Big Data? Gartner, Inc. Description Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. Related Research Report Highlight for Market Trends: How to Drive End-User Adoption of Big Data and Analytics in Eastern Europe and Russia Big data and analytics are becoming key enablers of business success in Eastern Europe and Russia. Report Highlight for Market Insight: How to Value CSPs' Big Data Potential Related Webinars
2600: The Hacker Quarterly
dataforpolicy.uk
Technology | Narrative Science
Fast and Efficient Delivery These data insights can be delivered on demand or on a schedule (hourly, daily, weekly, monthly) in your chosen format, including mobile, HTML, dashboard annotations or any document type. For mobile devices, whether via email or app, narrative content is ideally suited for consumption; much better than traditional methods like spreadsheets or graphs. Also, API options are available for integration with your existing systems and applications. You may think you know business intelligence, but Quill’s process of deriving data and developing narratives is unlike any other business intelligence platform on the market. Quill delivers stories that are understandable, precise and expressive.
2013 - (Peter Cochrane) Big Data v Data Mining
.:: Phrack Magazine ::.
Ich habe nur gezeigt, dass es die Bombe gibt - Das Magazin - Das Magazin
Am 9. November gegen 8.30 Uhr erwacht Michal Kosinski in Zürich im Hotel Sunnehus. Der 34-jährige Forscher ist für einen Vortrag am Risikocenter der ETH angereist, zu einer Tagung über die Gefahren von Big Data und des sogenannten digitalen Umsturzes. Solche Vorträge hält Kosinski ständig, überall auf der Welt. Er ist ein führender Experte für Psychometrik, einen datengetriebenen Nebenzweig der Psychologie. Lange betrachtet Kosinski Trumps Jubelfeier und die Wahlergebnisse der einzelnen Bundesstaaten. Am gleichen Tag versendet eine bis dahin kaum bekannte britische Firma mit Sitz in London eine Pressemitteilung: «Wir sind begeistert, dass unser revolutionärer Ansatz der datengetriebenen Kommunikation einen derart grundlegenden Beitrag zum Sieg für Donald Trump leistet», wird ein Alexander James Ashburner Nix zitiert. Der nachdenkliche Kosinski, der gestriegelte Nix, der breit grinsende Trump – einer hat den digitalen Umsturz ermöglicht, einer hat ihn vollführt, einer davon profitiert.
