Database management is a method of coordinating the information that supports a company’s business operations. It involves storing data, disseminating it to users and applications making edits as needed, monitoring data changes, and stopping data corruption due unexpected failure. It is a part of the overall infrastructure of a company which supports decision-making as well as corporate growth and compliance with laws like the GDPR and California Consumer Privacy Act.

The first database systems were created in the 1960s by Charles Bachman, IBM and others. They developed into information management systems (IMS) which made it possible to store and retrieve huge amounts of data for a wide range of purposes, ranging from calculating inventory to supporting complex human resources and financial accounting functions.

A database is a collection of tables that organizes data in accordance with an established pattern, such as one-to many relationships. It utilizes primary keys to identify records and permit cross-references between tables. Each table has a set of fields, referred to as attributes, that provide information about the entities that comprise the data. Relational models, developed by E. F. “Ted” Codd in the 1970s at IBM and IBM, are among the most widely used type of database currently. This model is based on normalizing the data, making it simpler to use. It also makes it easier to update data since it eliminates the need to modify different sections of the database.

Most DBMSs can accommodate multiple database types by providing different levels of internal and external organization. The internal level concerns cost, scalability, and other operational issues like the physical layout of the database. The external level is how the database is displayed in user interfaces and other applications. It may include a mix of various external views (based on different data models) and could also include virtual tables that are created using generic data to improve performance.


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