Big data processing system and method based on enterprise private cloud

Abstract

The invention discloses a big data processing system and method based on an enterprise private cloud. The big data processing system based on an enterprise comprises an enterprise private cloud network and a wide area network. The enterprise private cloud network is connected with the wide area network, all operating stations on the wide area network can access the enterprise private cloud network in a remote mode, and data information in the enterprise private cloud network is processed. The enterprise private cloud network and the wide area network constitute an open cloud network structure, the data information can be processed, and convenience is provided for data processing of the enterprise private cloud network. Meanwhile, the big data processing system and method are based on a remote artificial data entry mode of the wide area network, compared with a traditional network mode, a novel labor using mode of the big data enterprise under the enterprise private cloud network can be better embodied, and the operating cost is lowered for the enterprise.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a big data processing system and method based on an enterprise private cloud. Background technique [0002] Business process outsourcing (BPO) is a labor-intensive enterprise. This type of enterprise is generally called a labor-intensive enterprise. It needs to invest a large amount of labor in production and operation. The consumption of live labor accounts for a large proportion of enterprise operation. This is the main component of the enterprise. One of the operating cost factors. [0003] The capital organic composition of labor-intensive enterprises is low, the amount of fixed assets occupied by laborers is relatively low, and the proportion of living labor consumption in product costs is relatively large, which makes them have low investment, unit investment can absorb more labor force, technical operation requirements Low, fast capital turnover characteristic...

AI Technical Summary

Problems solved by technology

On the other hand, the imbalance between the supply and demand ratio of the number of employees employed by enterprises has also exacerbated the substantial increase in the number of unemployed college students after graduation.

[0006] Unemployed people in society have increased the number of idle labor forces. After studying this phenomenon, it is not difficult to find that partly because of the adjustment of industrial structure, the original industrial labor skills are backward and eliminated, but they cannot adapt to new technological changes. Become an idle labor force in the process of suitable positions

In addition, the psychological factors of workers have led to some laid-off workers giving up their job opportunities after being laid off, forming an idle labor force.

[0007] At this stage, in business process outsourcing (BPO) companies, big data processing is generally still presented in the traditional way of local area network or / and local area network plus server using remote login server operation interface manual entry and manual verification, that is, C / S Or B / S mode, which often cannot meet the diversified needs of business process outsourcing companies for employees, such as the number of employees and the area of ​​office space

In the same period of time in the same company, there will always be various human resource problems, such as employee resignation, dismissal, leave, etc. These problems need to be handled by personnel. When the quantity and business area cannot meet the requirements, it will affect the normal operation of the enterprise to a certain extent

[0008] The traditional way of using local area network and / or local area network plus server to log in to the server operation interface manually and manually check has a large dependence on the local area network and server. Traditional enterprise networks generally have network architectures that are not easy to expand, and equipment Disadvantages such as low utilization rate, high maintenance cost, and high energy consumption; in addition, the traditional data processing mode requires a large number of data operators, and has certain requirements for the office capacity of the company's employees

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