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Data blood relationship generation method and device and electronic equipment

A bloodline and data technology, applied in the field of data bloodline generation and machine-readable storage media, can solve the problems of non-updating, no traditional database addition, deletion and modification operations, data non-updating, etc., to achieve the effect of improving efficiency and accuracy

Pending Publication Date: 2020-05-08
HANGZHOU DT DREAM TECH
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Problems solved by technology

[0003] The data warehouse mainly includes four characteristics: "subject-oriented", "integrated", "changes with time", and "data in the data warehouse cannot be updated"; among them, "subject-oriented" means that the data warehouse is based on a certain Theme, only the data related to the theme is needed, and other irrelevant detailed data will be excluded; "integration" refers to the process of collecting data from different source data to generating target data, which needs to be based on ETL (Extract-Transform -Load, extraction, conversion, and loading) technology for data processing; "change over time" refers to the implicit or explicit change of data based on time; "data in the data warehouse cannot be updated" refers to the loading of data into ETL (Load ), usually only data query operations can be performed, and there is no addition, deletion, and modification operations of traditional databases

Method used

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  • Data blood relationship generation method and device and electronic equipment
  • Data blood relationship generation method and device and electronic equipment
  • Data blood relationship generation method and device and electronic equipment

Examples

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Embodiment Construction

[0050] 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.

[0051]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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Abstract

The invention discloses a data blood relationship generation method and device, electronic equipment and a machine readable storage medium. The method comprises the following steps: acquiring source data from a butted service system and storing the source data locally, wherein the source data is table data based on a database; generating target data corresponding to the source data, wherein the target data at least comprises a first blood relationship identifier which uniquely represents the data source of each row of data of the target data. The accurate construction of the data blood relationship based on the row-level data is realized, and the data blood relationship tracing efficiency and accuracy are improved.

Description

technical field [0001] One or more embodiments of the present application relate to the technical field of computer applications, and in particular, to a data lineage generation method, device, electronic device, and machine-readable storage medium. Background technique [0002] Data Warehouse (Data Warehouse, which can be abbreviated as DW or DWH), is a collection of data that is subject-oriented, integrated, and changes over time, but the information itself is relatively stable. For example, in practical applications, data warehouses are usually widely used to support management decisions of enterprises, and provide data sets of all types of data related to the management decisions. [0003] The data warehouse mainly includes four characteristics: "subject-oriented", "integrated", "changes with time", and "data in the data warehouse cannot be updated"; among them, "subject-oriented" means that the data warehouse is based on a certain Theme, only the data related to the th...

Claims

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Application Information

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IPC IPC(8): G06F16/25G06F16/2458G06F16/28G06F16/215
CPCG06F16/254G06F16/2465G06F16/283G06F16/215
Inventor 元庚周万甘长华
Owner HANGZHOU DT DREAM TECH
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