Data storage method, data access method and related devices

Abstract

The embodiment of the invention discloses a data storage method, a data access method and related devices, which can be used for reducing the workloads of establishing and maintaining a database. The data storage method disclosed by the embodiment comprises the following steps of: establishing a database instance for storing data of each organization; establishing a first data sheet in the database instance, wherein the first data sheet contains organization identifier fields which are used for indicating organizations to which the data belongs; adding each organization data to the first data sheet; distributing corresponding organization identifiers to each organization data according to the organizations to which the data belong; and establishing a correspondence relationship between a user and the organization identifiers. The embodiment of the invention also provides other related methods and the devices. According to the embodiment of the invention, the workloads of establishing and maintaining the database can be effectively reduced.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a data storage method, a data access method and related devices. Background technique [0002] With the intensification of competition in the global market, many large group companies are facing great challenges in cross-regional, cross-industry, and diversified operations. How to effectively integrate internal resources, improve resource utilization and quickly respond to the market? Ability has become an important topic for enterprises. Under the traditional decentralized management mode, the enterprise's information technology (IT, Information Technology) architecture lacks a unified foundation, making the IT environment complex and out of control. Therefore, many enterprises have gradually chosen a centralized management model, IT systems have been upgraded from department-level applications to enterprise-level applications, and enterprise data has also been centrally stored a...

AI Technical Summary

Problems solved by technology

[0004] However, there are the following disadvantages in the prior art solutions: when the scale of the enterprise is large and there are many subordinate organizations, the IT department of the enterprise needs to create database instances for these organizations respectively, and the workload is huge

On the other hand, a large number of database instances are independent of each other, and there is a lack of unified standards and formats among the data, which also increases subsequent maintenance costs, such as database upgrades, backup and recovery, etc.

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