大数据是指无法在一定时间范围内用常规软件工具进行捕捉、管理和处理的数据

Big data refers to a collection of data that cannot be captured, managed, and processed with conventional software tools within a certain time frame. It is a massive and high growth rate that requires new processing models to have stronger decision-making power, insight and discovery, and process optimization capabilities. And diversified information assets. <br>The strategic significance of big data technology is not to master huge data information, but to professionally process these meaningful data. In other words, if big data is compared to an industry, then the key to profitability of this industry lies in improving the "processing capacity" of data, and realizing the "value-added" of data through "processing". <br>From a technical point of view, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data cannot be processed by a single computer, and a distributed architecture must be adopted. Its characteristic lies in the distributed data mining of massive data. But it must rely on the distributed processing of cloud computing, distributed database and cloud storage, and virtualization technology.

Big data refers to the collection of data that cannot be captured, managed and processed with conventional software tools within a certain time frame, and is a massive, high-growth and diversified information asset that requires new processing models to have greater decision-making power, insight and process optimization capabilities.<br>The strategic significance of big data technology lies not in mastering large amounts of data information, but in specializing it with meaningful data. In other words, if big data is compared to an industry, the key to its profitability lies in improving the "processing capacity" of the data and "adding value" to the data through "processing". <br>Technically, the relationship between big data and cloud computing is as inextricably linked as the front and back of a coin. Big data must not be processed with a single computer, and a distributed architecture must be adopted. It is characterized by distributed data mining of massive amounts of data. But it must rely on distributed processing, distributed databases, and cloud storage, and virtualization technologies for cloud computing.

Big data refers to the data set that can not be captured, managed and processed by conventional software tools within a certain period of time. It is a massive, high growth rate and diversified information asset that needs new processing mode to have stronger decision-making power, insight and process optimization ability.<br>The strategic significance of big data technology is not to master huge data information, but to professionally process these meaningful data. In other words, if big data is compared to an industry, the key to making profits in this industry lies in improving the "processing ability" of data and realizing the "value-added" of data through "processing".  <br>From a technical point of view, the relationship between big data and cloud computing is as inseparable as the positive and negative sides of a coin. Big data cannot be processed by a single computer, so it must adopt distributed architecture. Its feature is distributed data mining for massive data. But it must rely on cloud computing distributed processing, distributed database and cloud storage, virtualization technology.<br>