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BACKGROUND

巨量資料(big data),或稱大數(shù)據(jù)、海量資料,指的是所涉及的資料量規(guī)模巨大到無(wú)法透過(guò)目前主流軟件工具,在合理時(shí)間內(nèi)達(dá)到擷取、管理、處理、并整理成為幫助企業(yè)經(jīng)營(yíng)決策更積極目的的資訊。 大數(shù)據(jù)的4V特點(diǎn):Volume、Velocity、Variety、Veracity?!按髷?shù)據(jù)”是由數(shù)量巨大、結(jié)構(gòu)復(fù)雜、類型眾多數(shù)據(jù)構(gòu)成的數(shù)據(jù)集合,是基于云計(jì)算的數(shù)據(jù)處理與應(yīng)用模式,通過(guò)數(shù)據(jù)的整合共享,交叉復(fù)用,形成的智力資源和知識(shí)服務(wù)能力。

CONTENT:
Big data is a vague term for a massive phenomenon that has rapidly become an obsession with entrepreneurs, scientists, governments and the media
Five years ago, a team of researchers from Google announced a remarkable achievement in one of the world’s top scientific journals, Nature. Without needing the results of a single medical check-up,they were nevertheless able to track the spread of influenza across the US.What's more, they could do it more quickly than the Centers for Disease Controland Prevention (CDC). Google's tracking had only a day's delay, compared with the week or more it took for the CDC to assemble a picture based on reportsfrom doctors' surgeries. Google was faster because it was tracking the outbreak by finding a correlation between what people searched for online and whether they had flu symptoms.
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本期節(jié)目參考譯文:(參考譯文由該節(jié)目主持人提供,僅供參考,歡迎大家討論)

參考譯文1:

社會(huì)各界對(duì)大數(shù)據(jù)的認(rèn)知普遍比較模糊,這使得它迅速成為企業(yè)家、科學(xué)家、政府和媒體爭(zhēng)相追逐的對(duì)象。
? ? 五年前,谷歌的一組研究人員在世界頂級(jí)的科學(xué)雜志《nature》上公布了一項(xiàng)異常矚目的成就。 無(wú)需醫(yī)院提供的就診情況統(tǒng)計(jì),他們居然監(jiān)測(cè)到了全美流感疫情的發(fā)展?fàn)顟B(tài)。更讓人驚奇的是,他們的統(tǒng)計(jì)結(jié)果比疾病防控中心(CDC)快的多。疾病防控中心通常要花一周甚至更多的時(shí)間來(lái)研究醫(yī)生的診斷報(bào)告得出結(jié)論,和他們比起來(lái),谷歌只延遲了一天的時(shí)間。谷歌之所以這么快,是因?yàn)楣雀璞O(jiān)測(cè)到大批網(wǎng)民在網(wǎng)上搜尋自己是否有流感癥狀,通過(guò)分析這其中的關(guān)系從而快速的得出了結(jié)論。

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