Data virtualization and query method and device

A data virtualization and data query technology, which is applied in the field of computer information management applications, can solve problems such as inability to effectively query heterogeneous data, and achieve the effect of reducing the difficulty of query
CN109840254AInactive Publication Date: 2019-06-04湖南亚信软件有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
湖南亚信软件有限公司
Publication Date
2019-06-04
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a data virtualization and query method and device, and the method comprises the steps: collecting multiple kinds of data from a database, and building a data dictionary according to the data and attributes of the data; Obtaining vocabulary information in the common word library dictionary and the industry term lexicon; And constructing a data semantic layer according to thevocabulary information, the data in the data dictionary and the mapping relationship thereof. According to the invention, The data dispersed in the enterprise is virtualized, unified data access based on virtualization definition is provided for a user, and the user does not need to pay attention to where the data exist, format requirements and the like, so that the data query difficulty is reduced, and operation such as statement analysis and query can be conveniently carried out when a subsequent user carries out statement query.
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Description

technical field

[0001] The invention relates to the technical field of computer information management applications, in particular to a data virtualization and query method and device. Background technique

[0002] With the continuous expansion of big data business, business data is based on different platforms and adopts different technologies, solutions and standards, resulting in data heterogeneity at the level of system, syntax and semantics, and the inability to identify data sources. Application system data integration queries are becoming more and more complex. Therefore, in order to adapt to the trend of gradually expanding business applications and changing business environments, it is of great significance to explore new data integration methods to dynamically reflect the changes and satisfy various applications to access data anytime and anywhere.

[0003] At present, the existing big data query technology is realized based on the service-oriented domain data int...

Claims

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