Big data platform BI metadata management method and device

Abstract

The invention discloses a big data platform BI metadata management method and device, which relates to the computer technical field. One embodiment of the method includes configuring scheduling taskson a big data platform, and generating a BI data model corresponding to each target data model based on the scheduling result of each scheduling task; determining the dependency relationship among each scheduling task based on the BI metadata corresponding to each scheduling task; according to the dependency relationship, determining the consanguinity of each BI data model; from the BI data model,obtaining the model information of the BI data model. The embodiment of the invention can expand the personalized function and has good universality, has the ability to support a variety of large data platforms to achieve comprehensive management of BI metadata, can support the authority management of each big data platform and realize the deep application of BI metadata and has the low cost.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for managing BI metadata on a big data platform. Background technique [0002] The concept of business intelligence (Business Intelligence, English abbreviated as BI, that is, business intelligence, also known as business intelligence) was first proposed by the Gartner Group in 1996, and the Gartner Group defined business intelligence as: business intelligence description A range of concepts and methods are presented to assist business decision-making by applying fact-based support systems. Business intelligence technology provides technologies and methods that enable enterprises to quickly analyze data, including collecting, managing and analyzing data, transforming these data into useful information, and then distributing them throughout the enterprise. [0003] BI has always existed in the daily work of enterprises. For example, simple collation...

AI Technical Summary

Problems solved by technology

[0005] 1) Metadata management based on a specific product architecture is not conducive to the expansion of personalized functions and has poor versatility;

[0006] 2) Metadata management is realized based on a specific big data platform. Since the big data platforms of each enterprise are diverse, it is impossible to support the big data platforms of each enterprise, so that the comprehensive management of BI metadata cannot be realized;

[0007] 3) Due to the inability to support the big data platforms of various enterprises, it does not support the authority management of each big data platform, and cannot realize the in-depth application of BI metadata;

[0008] 4) High cost

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