Data center middleware system

Abstract

The present invention discloses a data center middleware system. According to the data center middleware system, definition of data and registration management of applications are provided, and data is analyzed and defined in a manner of virtual objects; the applications connected to a data center are registered, and data objects associated with each of the applications and read-write permission of the data objects are determined; describing is carried out on definition of the data objects and setting of the applications by creating a data center describing file language (DDL), a describing file based on an XML (X Exrensible Markup Language) format is formed, different development languages can generate localized development components suitable for calling aiming at the file, and the generated development components comprise a data center client service, data object definition and data manipulation API (Application Program Interface). According to the data center middleware system disclosed by the present invention, the uniform data center can be created in a B/S (Brower/Server) mode, data synchronization and uniform identity authentication services can be provided for each of application systems, and a uniform data warehouse can be created by various types of persistent data storage systems.

Description

Technical field: [0001] The invention belongs to the technical field of software development, in particular to a data center middleware system. Background technique: [0002] Existing data center products are deeply influenced by relational database software. Defining data standards is closely related to defining tables and field names, types, and sizes. Data conversion using ETL tools is also based on tables and fields in different business systems. The mapping specification of the field not only needs to modify the relevant business system functions when changing the data standard, but also needs to redefine the relevant defined data conversion rules; at the same time, the data sharing and exchange between applications realized by relying on ETL tools is not affected by the business system. The direct constraints of the application logic cannot clarify the read and write permissions of the system to the data, cannot guarantee the correct flow of application system data, an...

AI Technical Summary

Problems solved by technology

[0002] Existing data center products are deeply influenced by relational database software. Defining data standards is closely related to defining tables and field names, types, and sizes. Data conversion using ETL tools is also based on tables and fields in different business systems. The mapping specification of the field not only needs to modify the relevant business system functions when changing the data standard, but also needs to redefine the relevant defined data conversion rules; at the same time, the data sharing and exchange between applications realized by relying on ETL tools is not affected by the business system. Due to the direct constraints of application logic, it is impossible to clarify the system's read and write permissions for data, and it is impossible to guarantee the correct flow of application system data, and illegal changes of data cannot be controlled

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