Bertrand Duperrin's Library tagged → View Popular, Search in Google
"Big data, unstructured data, semi-structured data. Data is all over the technology news, and for good reason. It is overwhelming most organizations; requiring new ways to operate to stay competitive; helping to serve customers better; and bringing new products to market faster. "
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According to a recent IBM Survey of 1,500 CEOs, a staggering number of CEOs describe their organizations as data rich, but Insight poor and voice frustration at not being able to transform available data into feasible action plans, let alone detect emerging opportunities.
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"The real trend this year is not the technology. It’s about helping business people make better decisions, and actually change the way companies do business. Analytics has always been about transforming business, but the recent huge changes in analytic technology have created interesting new opportunities for business innovation."
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Analytics technology has been changing fast. On the back end, new technologies have come together to provide what Gartner calls “extreme data performance”. These include in-memory, column data stores, in-database calculations, massively parallel architectures, complex event processing, Big Data / NoSQL / Hadoop, and cloud architectures.
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Rappelons que les données structurées ne représentent que 4 % du SAVOIR de l’entreprise et sont le fait des activités de l’entreprise elle-même. Ainsi, le SAVOIR en entreprise est difficilement localisable et identifiable sinon que dans la tête des gens et il ne se trouve surtout pas dans les entrepôts de données.
SAVOIR
4% données structurées
20% données non structurées
74% non documentées (contenues dans la « tête » des gens)
Selon IDC (et à peu près tout le monde d’ailleurs), les types et quantités d’information que nous allons devoir prendre en compte et gérer/stocker d’ici à 2010 sont répartis en 3 groupes principaux :
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