Database management is the process for managing information that aids the organization’s business processes. It includes data storage and distribution to application programs and users and then modifying it if necessary and monitoring changes to the data and preventing it from becoming damaged due to unexpected failures. It’s a component of an organization’s overall informational infrastructure that aids in decision-making and corporate growth, as well as compliance with laws like the GDPR and the 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) that enabled the storage and retrieve huge amounts of data for a wide range of purposes, from calculating inventory to supporting complicated financial accounting and human resources functions.
A database is tables that organize data according to a certain scheme, such as one-to-many relationships. It uses primary key to identify records and permits cross-references between tables. Each table contains a set of attributes or fields that provide information about data entities. The most popular kind of database is a relational model created by E. F. “Ted” Codd at IBM in the 1970s. The concept is based on normalizing data to make it more user-friendly. It is also simpler to update data since it doesn’t require the modification of certain sections of the database.
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 issues, like the physical layout of the database. The external level is the representation of the database on user interfaces and applications. It could include a mix of different external views based on different data models and can include virtual tables that are calculated with generic data to enhance the performance.