Data tracing method based on big data and multidimensional features and big data cloud server
A data feature and multi-dimensional feature technology, applied in the field of big data analysis, can solve the problem of huge storage pressure on big data servers
Active Publication Date: 2020-12-11
盐城模语大数据信息技术有限公司
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[0003] However, with the continuous expansion of the scale of data business, the amount of data is also increasing rapidly, which will cause huge storage pressure on the big data server. In order to improve the storage pressure on the big data server side, business data needs to be compressed and stored
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[0044] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.
[0045] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term...
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The invention relates to a big data and multidimensional feature-based data tracing method and a big data cloud server. The method comprises the steps: performing multidimensional feature identification on to-be-traced data to obtain a multidimensional data feature queue; performing data environment parameter clustering on the multi-dimensional data feature queue to obtain feature distribution information, and performing feature correlation identification and data interaction defect identification on the feature distribution information to obtain a correlation data feature set and a defect data feature set; performing index value extraction on the multi-dimensional data feature queue and the correlation data feature set according to the defect data feature set to obtain a target index value including an index category; finally, querying target pairing data corresponding to the to-be-traced data in a preset database according to the target index value and the index category of the target index value, and tracing the to-be-traced data according to the target tracing data to obtain original business data. In this way, the multi-dimensional data characteristics of the to-be-traced datacan be considered, and complete and accurate tracing of the to-be-traced data is achieved.
Description
technical field [0001] This application relates to the technical field of big data analysis, in particular to a data traceability method and a big data cloud server based on big data and multi-dimensional features. Background technique [0002] With the development of science and technology, the era of big data has come quietly. Big data can convert, analyze and optimize data from different sources of information technology such as mobile Internet, Internet of Things, social networks, digital homes, and e-commerce, and cross-feed various results to applications to improve user experience and create the greatest commercial value, economic value and social value. Reasonable and effective use of big data can create greater competitiveness, value and wealth for people, so as to maximize the value of data. [0003] However, as the scale of data business continues to expand, the amount of data also increases sharply, which will cause huge storage pressure on the big data server....
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IPC IPC(8): G06F16/28G06F16/22G06F16/2455
CPCG06F16/2264G06F16/2455G06F16/283G06F16/285
Inventor 黄天红
Owner 盐城模语大数据信息技术有限公司