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ETL (Extract-Transform-Load) realization method and system based on metadata

An implementation method and metadata technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as time-consuming and low efficiency, and achieve the effects of deepening understanding, improving management efficiency, and improving development efficiency

Inactive Publication Date: 2015-07-15
SHANGHAI TOBACCO GRP CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a method and system for implementing ETL based on metadata, which is used to solve the problem that a complete ETL JOB or process can be configured and verified when implementing ETL development in the prior art. , once an error occurs during the configuration verification process, it may be necessary to check the entire ETL JOB or reorganize the logic during troubleshooting, resulting in time-consuming and low-efficiency problems

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  • ETL (Extract-Transform-Load) realization method and system based on metadata

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Embodiment Construction

[0036] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0037] Please refer to attached picture. It should be noted that the diagrams provided in this embodiment are only schematically illustrating the basic idea of ​​the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the components in actual implementation. Dimensional drawing, the type, quantity and proportion of each component can be change...

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Abstract

The invention provides an ETL (Extract-Transform-Load) realization method based on metadata. The ETL realization method comprises the following steps: obtaining a pre-programmed ETL request; converting the ETL request to form ETL metadata according to a data conversion rule; leading the ETL metadata into a pre-established ETL metadata model to store the ETL metadata; generating an ETL configuration file according to the ETL metadata; and compiling the generated ETL configuration file into executable ETL JOB. According to the ETL realization method, the ETL management efficiency is greatly improved and convenience is provided for development and utilization of a data warehouse; the technical defects that faults can be checked only if the development is complete when an ETL tool is used are effectively solved; the standardized metadata model can very clearly show an ETL process and a developer can conveniently tease and check a current simulated ETL flow; the understanding on the ETL requirements by the developer are deepened and the developer is helped to find an optimal ETL design scheme; the finally obtained ETL JOB can be accurately and efficiently executed.

Description

technical field [0001] The invention belongs to the technical field of computer ETL, relates to an ETL implementation method and system, in particular to an ETL implementation method and system based on metadata. Background technique [0002] ETL (Extract Transform Load, data warehouse technology) is the process of data extraction (Extract), transformation (Transform), and loading (Load). It is an important part of building a data warehouse. Users extract the required data from the data source. After data cleaning and conversion, the data is finally loaded into the data warehouse according to the pre-defined data warehouse model. [0003] At present, the ETL data warehouses of various enterprises basically adopt two development methods: one is based on process language development, such as: SQL language (Structured Query Language, structured query language) and PERL language (Practical Extraction and Report Language, practical report extraction language) etc.; another graph...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 栾晓宇陈德莉周佳杰
Owner SHANGHAI TOBACCO GRP CO LTD
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