What is the English abbreviation of database?
The English abbreviation of database is: "DB" (Database). "DBMS" stands for Database Management System; a database is a collection of data that is stored together according to certain rules, can be shared with multiple users, has as little redundancy as possible, and is independent of applications.
The English abbreviation of database is: DB (Database).
DB (Database) database, in addition, there is also the common DBMS which represents the database management system (Database Management System).
A database is a collection of data that is stored together according to certain rules, can be shared with multiple users, has as little redundancy as possible, and is independent of applications. It can be regarded as an electronic filing cabinet. , users can perform operations such as adding, querying, updating, and deleting data in the file.
Extended information:
Database type:
1. Relational database
Relational database, the storage format can intuitively reflect the relationship between entities. Relational databases are similar to common tables. There are many complex relationships between tables in relational databases.
Common relational databases include Mysql, SqlServer, etc. In lightweight or small applications, using different relational databases has little impact on the performance of the system. However, when building large applications, you need to choose an appropriate relational database based on the business needs and performance requirements of the application.
2. Non-relational database (NoSQL)
refers to a distributed, non-relational data storage system that does not guarantee compliance with ACID principles. NoSQL database technology is closely related to CAP theory and consistent hashing algorithm.
NoSQL database technology still has very obvious application advantages. For example, the database structure is relatively simple and has good read and write performance under large amounts of data. It can meet the needs of storing customized data formats at any time and is very suitable for big data processing. Work.
Recommended tutorial: "sql video tutorial"
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