The difference and connection between big data and cloud computing

What is big data?

Big data, also known as huge amounts of data, refers to massive, high-growth and diverse information assets that require new processing models to have stronger decision-making power, 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, then the key to achieving profitability for this industry is to improve the "processing capabilities" of data and achieve the "value-added" of data through "processing".

What is cloud computing?

Cloud computing is an Internet-based computing method through which shared software and hardware resources and information can be provided to computers and other devices on demand.

Typical cloud computing providers often provide general network business applications, which can be accessed through software such as browsers or other Web services, and the software and data are stored on the server. Cloud computing services usually provide general-purpose online business applications accessed through a browser, and software and data can be stored in data centers.

The conceptual difference between big data and cloud computing:

Big data refers to an application scenario in the context of the mobile Internet and the Internet of Things. Various applications generate Huge amounts of data need to be processed and analyzed to mine valuable information; cloud computing is a technical solution that uses this technology to solve the on-demand construction needs of a series of IT infrastructure such as computing, storage, and databases. , the two are not on the same level.

The connection between big data and cloud computing:

Big data is a very important application scenario of cloud computing, and cloud computing is both big data processing and data mining. Provides the best technical solutions.

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