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Data acquisition method and device, electronic equipment, storage medium and program product

A data acquisition and data extraction technology, applied in the computer field, can solve problems such as inability to meet real-time requirements, time-consuming, and low efficiency

Pending Publication Date: 2021-04-20
LAKALA PAYMENT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing technology, usually after a new product is added to the production system, the background data management platform needs to first configure the data access of the new product, which takes about 2-3 days, and then modify the data extraction script to It takes about 2-3 days to merge the data of new products into the collection table of the data warehouse. This method is time-consuming and inefficient, and cannot meet the real-time needs of the front-end business department for new product data.

Method used

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  • Data acquisition method and device, electronic equipment, storage medium and program product
  • Data acquisition method and device, electronic equipment, storage medium and program product
  • Data acquisition method and device, electronic equipment, storage medium and program product

Examples

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Embodiment Construction

[0087] Hereinafter, exemplary embodiments of embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. Also, for clarity, parts not related to describing the exemplary embodiments are omitted in the drawings.

[0088] In the embodiments of the present disclosure, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, numbers, steps, acts, components, parts or combinations thereof disclosed in this specification, and are not intended to The possibility that one or more other features, numbers, steps, acts, parts, parts or combinations thereof exist or be added is excluded.

[0089] In addition, it should be noted that, in the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other. Embodiments of the present disclosure will be des...

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Abstract

The embodiment of the invention discloses a data acquisition method and device, electronic equipment, a storage medium and a program product, and the method comprises the steps: in response to a new event of a new product, obtaining at least one data extraction view; updating the data extraction view according to the newly added new product; in response to a data extraction request of a data management platform, extracting product data according to the updated data extraction view; and returning the product data to the data management platform. According to the technical scheme, operations such as creating a data extraction task for the newly-added product at a downstream warehouse end, extracting the product data of the new product by executing a data extraction task, combining the product data with original data and the like are not needed, so that the data extraction efficiency can be greatly improved, and the manpower and material resource costs are saved.

Description

technical field [0001] Embodiments of the present disclosure relate to the field of computer technology, and in particular to a data acquisition method, device, electronic equipment, storage medium, and program product. Background technique [0002] Big data clusters need to centrally store the data of the production system for easy management and downstream use. However, the data structure design of the upstream production system for business expansion is not conducive to data extraction by big data clusters. For example, product a in the generation system corresponds to a set of data tables, product b corresponds to a set of data tables, etc., and different products have the same data structure, such as data tables including transaction, merchant and other dimensional data, while data between different products No duplication will occur. However, the data collection of all products in the same dimension required by the downstream data warehouse, such as the collection of...

Claims

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Application Information

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IPC IPC(8): G06F16/25G06F16/26
Inventor 不公告发明人
Owner LAKALA PAYMENT CO LTD
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