Cloud Computing, also known as Grid Computing, is a technology through which the processing of tens of thousands of pieces of data can be accomplished in a very short period of time (a few seconds), resulting in powerful web services. Big data is a collection of data that cannot be captured, managed, and processed with conventional software tools within a certain time frame.

Cloud computing is a type of distributed computing that refers to a network "cloud" that breaks down a huge data processing program into countless smaller programs, and then processes and analyzes the results of these smaller programs and returns them to the user through a system of multiple servers.

"Cloud" is essentially a network, cloud computing is a network that provides resources, the user can always access the resources on the "cloud", according to the amount of demand for the use, and can be seen as unlimited expansion, as long as the amount of use to pay for it. Cloud computing is a network that provides resources. Cloud computing aggregates many computing resources, automates their management through software, and allows them to be rapidly provisioned with minimal human involvement.

As the New Crown epidemic rages on, cloud computing technology supports the global economy, supply chains, and enterprise organizations working remotely to keep things alive. As more and more organizations begin to adopt the cloud computing model, the transfer of data from the cloud to devices will become more and more integrated into our daily lives.

Big data is a collection of data that cannot be captured, managed, and processed within a certain timeframe using conventional software tools, and it is a massive, high-growth, and diverse set of information assets that require new processing models to enable greater decision-making, insight discovery, and process optimization.

Technically, the relationship between big data and cloud computing is as inextricably linked as the positive and negative sides of a coin. Inevitably, big data cannot be processed by a single computer, but must be distributed architecture. It is characterized by distributed data mining of massive amounts of data. But it must rely on cloud computing distributed processing, distributed database and cloud storage, virtualization technology.

In recent years, with the development of information technology and the data industry, the social demand for big data-related professional talent continues to rise, but the number of domestic professionals in the real big data is very small, such an imbalance in supply and demand will lead to the data industry to produce a large talent gap, big data engineers will usher in a broad employment prospects.