大数据是一个由数量巨大、结构复杂、类型众多构成的数据集合，是一种基于云

大数据是一个由数量巨大、结构复杂、类型众多构成的数据集合，是一种基于云计算来进行数据处理和应用的模式。大数据意味着所涉及的数据数量多或者数据类型多，以至于无法利用当前主流工具在短时间内有效地分析处理这些数据，需要通过整合过滤，交叉服用，关联共享之后，才能把数据转化为增量价值，形成智力资本，使得数据变成一种资源为企业服务，数据价值的发挥即数据资产变现，大数据可以精确地剖析用户行为习惯、消费习惯等重要信息

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结果 (英语) 1: [复制]

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Big data is a data collection composed of huge numbers, complex structures, and many types. It is a mode of data processing and application based on cloud computing. Big data means that the amount of data involved or the types of data are so large that it is impossible to use the current mainstream tools to effectively analyze and process these data in a short time. It needs to be integrated and filtered, cross-taken, and related and shared before the data can be transformed into Incremental value, forming intellectual capital, turning data into a resource for enterprise services, the display of data value is the realization of data assets, and big data can accurately analyze important information such as user behavior and consumption habits

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结果 (英语) 2:[复制]

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Big data is a large number of complex structures, many types of data collection, is a cloud-based data processing and application model. Big data means that the amount of data involved or data types, so that can not use the current mainstream tools in a short period of time to effectively analyze and process the data, through the integration of filtering, cross-taking, association and sharing, in order to transform the data into incremental value, the formation of intellectual capital, so that the data into a resource for enterprise services, data value play that data assets, big data can accurately analyze user behavior habits, consumption habits and other important information.

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结果 (英语) 3:[复制]

复制成功！

Big data is a large number of complex structure, many types of data set, is a cloud computing based data processing and application mode. Big data means that there are so many data types involved that it is impossible to use the current mainstream tools to effectively analyze and process these data in a short period of time. It is necessary to transform the data into incremental value and form intellectual capital after integration, filtering, cross taking, association and sharing, so as to turn data into a kind of resource to serve the enterprise and the development of data value Big data can accurately analyze user behavior habits, consumption habits and other important information<br>

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