Database management is the process for managing data that supports an organization’s business operations. It involves storing and distributing data it to users and applications making edits as needed and monitoring changes to the data and making sure that data integrity is not compromised due to unexpected failure. It is part of the overall infrastructure of a business which supports decision-making in corporate growth, as well as compliance with laws like the GDPR and the California Consumer Privacy Act.

In the 1960s, Charles Bachman and IBM among others came up with the first database systems. They evolved into information management systems (IMS) which allowed huge amounts of data to be stored and retrieved for a variety of purposes. From calculating inventory to supporting complicated financial accounting functions, and human resource functions.

A database is a set of tables that arrange data in accordance with a certain scheme, like one-to-many relationships. It uses the primary key to identify records and allows cross-references between tables. Each table is comprised of a set of fields called attributes that represent facts about data entities. Relational models, created by E. F. “TedCodd Codd in the 1970s at IBM as a database, are the most widely used type of database in the present This design is based upon normalizing data to make it more user-friendly. It is also simpler to update data because it doesn’t require the modification of certain sections of the database.

Most DBMSs can support multiple types of databases through different levels of external and internal organization. The internal level is focused on cost, scalability, as well as other operational issues, including the physical layout of the database. The external level is how the database appears in user interfaces and other applications. It could comprise a combination of various external views (based on different data models) and can also include virtual tables that are created using generic data to improve performance.