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Quality detection method and device for data warehouse

A quality inspection method and data warehouse technology, applied in the field of data warehouse quality inspection, can solve the problems that it is difficult to objectively reflect the real situation of the data warehouse, the subjective influence of evaluators, and the differences in the evaluation dimensions of different experts, so as to achieve good evaluation Effect

Pending Publication Date: 2022-08-05
ALIBABA SINGAPORE HLDG PTE LTD
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Problems solved by technology

However, this method is often affected by human factors such as the technical level of experts, experience, subjectivity, objective fairness, and personal technical preferences, and the evaluation dimensions of different experts are also different.
Therefore, the data warehouse quality evaluation results obtained by the evaluation mode of expert scoring are often greatly affected by the subjectivity of the evaluators, and it is difficult to objectively reflect the real situation of the data warehouse

Method used

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  • Quality detection method and device for data warehouse
  • Quality detection method and device for data warehouse
  • Quality detection method and device for data warehouse

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Embodiment Construction

[0023] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. When the following description refers to the drawings, the same numerals in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with one or more embodiments of this specification. Rather, they are merely examples of apparatus and methods consistent with some aspects of one or more embodiments of this specification, as recited in the appended claims.

[0024] It should be noted that: in other embodiments, the steps of the corresponding methods are not necessarily performed in the order shown and described in this specification. In some other embodiments, the method may include more or fewer steps than described in this specification. In addition, a single step described in this specification ...

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Abstract

One or more embodiments of the invention provide a data warehouse quality detection method and device, and the method comprises the steps: collecting metadata of a data warehouse, the metadata comprising operation data generated in the operation process of the data warehouse; according to the metadata of the data warehouse, operation state parameters of the data warehouse are obtained, and the operation state parameters are used for representing the data use state of the data warehouse in the operation process; and determining quality result data of the data warehouse based on the difference between the operation state parameter and the operation state target value of the data warehouse.

Description

technical field [0001] One or more embodiments of this specification relate to the technical field of data processing, and in particular, to a quality detection method and apparatus for a data warehouse. Background technique [0002] With the development of Internet technology, many enterprises, especially large enterprises, generate massive amounts of data in their daily business activities, which are usually scattered in different business systems in various forms. In order to effectively organize and manage these data in a unified way, so that enterprises can easily and quickly understand and use data, and give full play to the value of data, a data warehouse can be built. The data warehouse can systematically analyze and organize the large amount of data accumulated over the years through the data storage architecture unique to the data warehouse theory, so as to facilitate various analysis methods (for example, online analytical query (OLAP), data mining (Data Mining) ....

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06F16/28
CPCG06F16/283G06F16/2465
Inventor 林新平
Owner ALIBABA SINGAPORE HLDG PTE LTD
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