The strategic significance of big data technology lies not in the mastery of huge data information, but in the specialized processing of this meaningful data. In other words, if you compare big data to an industry, the key to profitability in this industry is to improve the "processing power" of the data, and to realize the "value-added" of the data through "processing".
Technically speaking, the relationship between big data and cloud computing is as inextricably linked as the positive and negative sides of a coin. Big data cannot be processed by a single computer, but must be 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 just a symptom or feature of the Internet at this stage. There is no need to mythologize it or keep it in awe. Against the backdrop of technological innovation represented by cloud computing, this data, which originally seemed difficult to collect and use, is beginning to be used with ease. Through continuous innovation in various industries, big data will gradually create more value for human beings.
It is the means of reflecting the value of big data technology that is the cornerstone of progress. Here from the development of cloud computing, distributed processing technology, storage technology, perception technology, to describe the whole process of big data from collection, processing, storage to the formation of results.
Practice is the ultimate value of big data. Here, we depict 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.