Database management is a system of managing information that supports a business’s operations. It involves storing and distributing data it to users and applications and editing it as required, monitoring data changes, and protecting against data corruption due to unexpected failure. It is a part of an organization’s overall informational infrastructure that supports decision-making and corporate growth, as well as compliance with laws like the GDPR and the California Consumer Privacy Act.

In the 1960s, Charles Bachman and IBM along with other companies developed the first database systems. They developed into information management systems (IMS) which enabled the storage and retrieve large amounts data for a broad range of purposes, from calculating inventory to supporting complicated financial accounting and human resources functions.

A database is a set of tables that store data in accordance with an established pattern, such as one-to many relationships. It makes use of primary keys to identify records and permit cross-references between tables. Each table has a variety of fields, referred to as attributes, which provide information about the data entities. Relational models, which were developed by E. F. “TedCodd Codd in the 1970s at IBM as a database, are the most used database type currently. This model is based upon normalizing the data, making it simpler to use. It is also simpler to update data since it does not require changing many sections of the databases.

Most DBMSs support multiple types of databases through different levels of external and internal organization The internal level deals with cost, scalability and other operational concerns, such as the layout of the physical storage. The external level is the representation of the database on user interfaces and applications. It could include a mix of various external views based on different data models. It may include virtual table that are calculated using generic data to improve the performance.

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