What is big data?

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

The strategic significance of big data technology lies not in mastering huge data information, but in professional processing of these meaningful data. In other words, if big data is compared to an industry, the key to profitability in this industry is to improve the "processing capability" of data and achieve the "value-added" of data through "processing".

Technically speaking, the relationship between big data and cloud computing is as inseparable as the two sides of a coin. Big data cannot be processed by a single computer and must use a distributed architecture. It is characterized by distributed data mining of massive data. But it must rely on cloud computing distributed processing, distributed databases, cloud storage and virtualization technologies.

Extended information:

Big data is only a representation or characteristic of the Internet at this stage. There is no need to mythologize it or keep it in awe. In the context of technological innovation represented by cloud computing, these data that originally seemed difficult to collect and use have begun 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 embody the value of big data technology and is the cornerstone of progress. Here, from the perspective of the development of cloud computing, distributed processing technology, storage technology, and sensing technology, the entire process of big data from collection, processing, storage to result formation is explained.

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.