Data-oriented information technology system

Abstract

The invention discloses a data-oriented information technology system, which comprises a data registration center, a data resource pool and a data service unit layer, and is characterized in that thedata resource pool is a space for storing data; The data registration center is used for constructing unified data definition, naming and registration functions to realize data management; The data service unit layer comprises a plurality of data function units for data-oriented related function packaging; and the data function unit is used for accessing data in the data resource pool, and when the data resource pool is accessed for the first time, the data registration center actively refreshes information and informs the data function unit of the information, and when the access is abnormal,the data registration center needs to obtain the information required by the access, and then accesses the data in the data resource pool. The data is stored in the data resource pool, data sharing is facilitated, different system applications can be set up directly by combining the data function units during application, expansion of system functions is facilitated, the response efficiency is high, and the maintenance cost is low.

Description

technical field [0001] The invention relates to an information technology system, in particular to a data-oriented information technology system. Background technique [0002] With the rise and application of technologies such as cloud computing and the Internet of Things, data is growing and accumulating at an unprecedented rate, and it is increasingly appearing in the form of huge data, diverse data types, and complex and changeable relationships between data. applications or information systems. [0003] Existing information systems adopt a data processing method that solidifies logical relationships and binds application logic and data. Due to the long development cycle of the system, when the requirements change, it is usually necessary to modify the organizational structure of the data, which will cause a series of problems such as code modification, testing and redeployment, which will lead to inefficient response to demand changes and high maintenance costs. It is ...

AI Technical Summary

Problems solved by technology

Due to the long development cycle of the system, when the requirements change, it is usually necessary to modify the organizational structure of the data, which will cause a series of problems such as code modification, testing and redeployment, which will lead to inefficient response to demand changes and high maintenance costs. Difficult to meet the requirements of practical applications

In addition, due to different construction periods and different developers, each application system has an independent data source, and the data between heterogeneous systems cannot be connected. Over time, many "information islands" or a large amount of data redundancy appear and ambiguity, it takes a lot of cost to do data integration and application integration in the later stage

[0004] The implementation of information systems is decentralized and evolving, and the system framework is difficult to plan completely at the initial stage. The integration of existing information systems is difficult in the implementation process, and the connection with the goals is generally indirect. The system is difficult to support the overall strategic goals. With the passage of time, the scale of the information system will continue to increase, and problems such as unreasonable system structure and imbalance of various parts will become increasingly prominent.

Images