Information technology system oriented to data

Abstract

The invention discloses an information technology system oriented to data. The information technology system oriented to the data comprises a data registering center, a data resource pool and a data service unit layer. The data resource pool is a space used for storing the data. The data registering center is used for constructing uniform data defining, naming and registering functions to achieve management on the data. The data service unit layer comprises a plurality of data function units oriented to relative function encapsulation of the data, the data function units are used for accessing the data in the data resource pool, information needed for access needs to be obtained from the data registering center when the data resource pool is accessed the first time, when the data registering center actively refreshes information and informs the data function units and when access exception occurs, and then the data in the data resource pool are accessed. According to the information technology system oriented to the data, the data are all stored in the data resource pool, data sharing is facilitated, when the information technology system oriented to the data is applied, different system applications can be established by directly combining the data function units, the expansion of system functions is facilitated, response efficiency is high, and 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