Database management is a system for managing information that aids the business operations of an organization. It involves storing data and distribution to users and applications, modifying it as necessary and monitoring the changes in the data and preventing it from getting corrupted by unexpected failures. It is part of the informational infrastructure of a business which supports decision-making, corporate growth, and compliance with laws like the GDPR and the California Consumer Privacy Act.

The first database systems were developed in the 1960s by Charles Bachman, IBM and others. They evolved into information management systems (IMS), which allowed huge amounts of data to be stored and retrieved for a range of purposes. From calculating inventory, to supporting complex financial accounting functions and human resource functions.

A database is a set of tables that store data in accordance with a certain scheme, like one-to many relationships It uses primary key to identify records and allow cross-references among tables. Each table is comprised of a set of attributes, or fields, that provide information about data entities. Relational models, which were developed by E. F. “Ted” Codd in the 1970s at IBM as a database, are the most used database type in the present. This model is based upon normalizing the data, making it simpler to use. It is also simpler to update data since it doesn’t require the modification of many sections of the databases.

The majority of DBMSs support a variety of databases and offer different internal and external levels of organization. The internal level deals with costs, scalability, and other operational concerns like the layout of the physical storage. The external level is how the database is displayed in user interfaces and other applications. It can include a mixture of various external views based on different data models. It also can include virtual tables that are calculated using generic data to enhance the performance.