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What is the difference between big data and cloud computing?
The strategic significance of big data technology does not lie in the mastery of huge data information, but in the specialized processing of 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 the data, and realizing the "value-added" of the data through "processing". "

Technically, the relationship between big data and cloud computing is as inextricably linked as the positive and negative sides of a coin. Big data necessarily cannot be processed by a single computer, and must use a distributed architecture. It is characterized by distributed data mining of massive amounts of data. But it must rely on cloud computing's distributed processing, distributed databases and cloud storage, and virtualization technologies.

The term big data is increasingly mentioned by bai, people use it du to describe and define the massive data generated in the era of information zhi information explosion, and the era of this sea dao amount of data is known as the era of big data.

With the advent of the cloud era, Big data has attracted more and more attention. Big data is often used to describe the large amount of unstructured and semi-structured data that a company creates that would take too much time and money to download to a relational database for analysis.