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2025-03-26 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >
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This article mainly introduces "what is the relationship between big data and cloud computing". In daily operation, I believe many people have doubts about what is the relationship between big data and cloud computing. Xiao Bian consulted all kinds of materials and sorted out simple and easy operation methods. I hope it will help you answer the doubts about "what is the relationship between big data and cloud computing"! Next, please follow the small series to learn together!
In the IT training industry, there have always been two words: big data and cloud computing training. However, in fact, many people are always confused about the relationship between cloud computing and big data, so they always discuss "cloud computing" and "big data" together. In fact, this is not the case.
Simply put: cloud computing is the virtualization of hardware resources, while big data is the efficient processing of massive data. Although this explanation is not entirely appropriate, it can help those who do not understand the two names quickly understand the difference. Of course, if we introduce it more accurately, cloud computing is equivalent to our computers and operating systems, virtualizing a large number of hardware resources and distributing them.
It can be said that big data is equivalent to the "database" of mass data. Looking at the development of big data field, we can also see that the current development of big data has been developing in a direction similar to that of traditional database experience. In a word, traditional databases provide enough space for the development of big data.
The overall architecture of big data consists of three layers: data storage, data processing, and data analytics. Data must be stored through the storage layer first, and then according to the data requirements and objectives to establish the corresponding data model and data analysis index system to analyze the data to produce value.
The middle timeliness is achieved by the powerful parallel computing and distributed computing capabilities provided by the middle data processing layer. The three work together to make big data produce ultimate value.
Cloud computing is the bottom layer of computing resources, supporting the upper layer of big data processing, and the development trend of big data is real-time interactive query efficiency and analysis capabilities.
At this point, the study of "what is the relationship between big data and cloud computing" is over, hoping to solve everyone's doubts. Theory and practice can better match to help you learn, go and try it! If you want to continue learning more relevant knowledge, please continue to pay attention to the website, Xiaobian will continue to strive to bring more practical articles for everyone!
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