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商业 - 科技

2014年大数据行业最顶尖的人才有哪些?《财富》选出20位明星

大数据不只是要处理很多的数字,还得要通过这些数字建立模型、深入挖掘,并且寻找那些有可能改变企业运营方式的信息。以下谨为大家介绍20位大数据领域的顶尖人才。

    Cloudera公司首席科学家,西奈山医院基因与基因组学助理教授汉默巴切

    身为西奈山医院(Mount Sinai Hospital)基因与基因组学的助理教授,杰夫•汉默巴切虽然没有这个专业的博士学位,但丰富的经验让他绝对称职。他曾是Facebook最优秀的数据学家之一,后来他放弃了被广告渗透到各个角落的社交媒体业,成了Cloudera公司的首席科学家。Cloudera是一家基于Apache Hadoop平台的企业软件供应商。现在汉默巴切又与西奈山医院的基因与基因组学负责人埃里克•沙特合作,试图把大数据分析带入到医疗保健领域。沙特指出:“他正在定义一个新的领域,以后这个领域将成为一门会发放博士学位的学问。现在没有任何一门学科在教授他所做的事。”汉默巴切正在构建管理和运算人体健康数据所需要的基础架构,以建立更好的医学预测模型。沙特表示:“对于医疗业和医疗机构来说,现在正是他们开始启用大数据分析引擎的时机。我们和杰夫这样的人才合作,充分说明了医学将来的走向。”——Robert Hackett

    Jeff Hammerbacher, Chief Scientist, Cloudera; Assistant Professor of Genetics and Genomic Sciences, Mt. Sinai Hospital

    Jeff Hammerbacher didn't need a Ph.D to land an assistant professorship in genetics and genomic sciences at Mount Sinai Hospital, but he had plenty of experience to justify the academic appointment. One of Facebook’s first data scientists, Hammerbacher ditched the ad-soaked world of social networking to become the chief scientist at Cloudera, the Apache Hadoop-based enterprise software powerhouse. Now he’s working with Eric Schadt, Mount Sinai's chair of genetics and genomic sciences, to bring big data analytics to bear on healthcare. “He’s defining a field they’ll give Ph.Ds in,” Schadt says. “There were no programs to train him in what he did.” Hammerbacher is working to construct the right infrastructure to manage and compute health data to create better predictive models in medicine. “Now is the right time for healthcare and medical centers to turn themselves into big data analytic engines,” Schadt says. “That we’re able to embrace a guy like Jeff just speaks volumes about where medicine is going to go in the future.” —Robert Hackett

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