What is big data?

Big data refers to a collection of data that cannot be captured, managed and processed by conventional software tools in a certain period of time. It is a massive, high-growth and diversified information asset, which needs a new processing mode to have stronger decision-making, insight and process optimization capabilities.

The strategic significance of big data technology is not to master huge data information, but to professionally handle these meaningful data. In other words, if big data is compared to an industry, the key to the profitability of this industry lies in improving the "processing ability" of data and realizing the "value-added" of data through "processing".

Technically, 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 it must adopt a distributed architecture. It is characterized by distributed data mining of massive data. But it must rely on cloud computing distributed processing, distributed database, cloud storage and virtualization technology.

Extended information:

Big data is only a representation or feature of the Internet at this stage. There is no need to mythologize it or remain in awe. Under the background of technological innovation represented by cloud computing, these seemingly difficult data began to be easily used. Through continuous innovation in all walks of life, big data will gradually create more value for mankind.

It is a means to reflect the value of big data technology and a cornerstone of progress. From the development of cloud computing, distributed processing technology, storage technology and sensing technology, this paper expounds the whole process of big data from collection, processing and storage to the formation of results.

Practice is the ultimate value of big data. Here, we describe the beautiful picture of big data and the blueprint to be realized from four aspects: Internet big data, government big data, enterprise big data and personal big data.