Data processing platform with error avoidance function

Abstract

The invention discloses a data processing platform with an error avoidance function, and particularly relates to the technical field of data processing.The data processing platform comprises a data processing cabinet, the lower surface of the inner wall of the data processing cabinet is fixedly connected with the lower surface of a fan assembly, and the front face of the fan assembly communicates with one end of the back face of a first guide pipe; the top end of the first guide pipe is communicated with the bottom end of the first tee joint, and one end of the front face and one end of the back face of the second tee joint are fixedly connected with the bottom ends of the two sealing sleeves through connecting pipes respectively. The processing platform is operated by adopting a Hadoop mode, so that the Hadoop cloud platform established by the processing platform can be connected at any time and on site, the operation is very convenient, the operation effect and stability are better, the economic value in the data is mined by the processing platform, and the data processing efficiency is improved. The situation that data calculation is damaged due to data loss or damage is reduced, and the data processing efficiency and processing effect of the processing platform are further improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, and more specifically, the present invention relates to a data processing platform with an error avoidance function. Background technique [0002] At present, there is no standard definition of big data, but grasping the characteristics of big data will help to deepen the understanding of the connotation of big data. The 3V characteristics of data are large scale (Volume), variety (Variety), and high speed (Velocity). Large scale means that the amount of data is constantly expanding, and the data level has increased from the current GB and TB to PB, EB, and even ZB levels; there are many types, which means that the data types are structured, semi-structured, and unstructured. , audio, video and other unstructured data account for a large proportion; the speed is fast, which means that big data has strong timeliness, data is generated quickly, and it needs to be processed and anal...

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the above-mentioned defects of the prior art, the present invention provides a data processing platform with an error avoidance function. The technical problem to be solved by the present invention is: in order to mine value from a large-scale, diverse, and fast-generating data set, it often requires The high-speed operation of the computer puts a heavy load on the internal components of the calculation, so it is necessary to dissipate heat inside the computer in real time. However, the existing computer display screen is difficult to adjust according to the height of the user and the position where the user uses the computer. As a result, it is difficult to guarantee the actual use effect of the computer, and it is difficult to choose from many complex big data technologies, and because it is very difficult to build a complete big data processing framework, it is not conducive to mining the economic value of big data, which is not only easy to cause data loss And lead to calculation errors, and easily affect the efficiency of data processing

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