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大数据如何被用于好的和坏的事情？
How can big data be used for good and bad things?
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大数据也可以被用于不好的理由。
Big data can also be used for bad reasons.
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公司也使用大数据。
Companies use big data, too.
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一些学校使用大数据来了解哪些孩子在课堂上可能需要额外的帮助。
Some schools use big data to understand which children may need extra help in class.
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大数据将如何改变您的做事方式？
And how will big data change what you do?
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这就是我们讨论大数据的意义所在。
That is what we mean when we talk about big data.
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意在大数据的环境中云能做一些事情。
You realize that Big Data gives clouds something to do.
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学习使用新的大数据分析。
Learn to use new big data analytics.
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一些人将此称为大数据。
Some are calling it big data.
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分析静态大数据的新技术
New technology for analyzing big data at rest
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现在，我们探讨大数据的阴暗面。
Now, there are dark sides to big data as well.
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但是庞大数据还会产生远比这更为严重的后果。
But big data can have far more serious consequences than that.
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我们可以通过大数据做关联分析。
We can do correlation analysis through big data.
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大数据产业支撑能力日益增强。
Big data industry growing support capacity.
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从很大范围来说，大数据集事关决策。
Big data is, in large part, about decision making.
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这是不是大数据？
Is that big data?
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大数据提供了更多个性化教育的机会。
Big data offer the chance for more personalized education.
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什么是大数据驱动技术和设计的未来？
Whats the future of big data-driven technology and design?
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每一个重大数据的成功背后都有许多失败的案例。
For every success with big data there are many failures.
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什么是大数据驱动技术和设计的未来？
What's the future of big data-driven technology and design?
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大数据不仅是一种技术倡议。
Big data isn't just one more technology initiative.
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能够利用大数据的公司将会藐视数据利用无能者。
Companies that can harness big data will trample data-incompetents.
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这就是大数据的和理解释！
This is the big data and the rationale for explanation!
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对于复杂的大数据条目，这种传播方式会非常复杂。
On large or complex data items, this broadcast could get quite complex.
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美亚柏科大数据部门的工作人员介绍道。
America Ya Boke big data Department staff on the road.
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大数据和Hadoop将在未来扮演更重要的角色。
Big data and Hadoop seem to be playing an important role in the future.
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在庞大数据的世界中，相关数据几乎是自行浮出水面。
In a world of big data the correlations surface almost by themselves.
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大数据仅仅是一个工具。
Big Data is just a tool.
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大数据安全保障体系和法律法规不断完善。
Big data security system and laws and regulations continue to improve.
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大数据可能导致大错误。
Big Data can lead to Big Mistakes.
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