Database Management Basics

Database management is a system to manage information that is essential to an organization’s business operations. It includes data storage and distribution to application programs and users making changes as needed, monitoring changes in the data and preventing the data from becoming corrupted by unexpected failures. It is a part of a company’s overall informational infrastructure, which supports decision-making and corporate growth, as well as compliance with laws such as 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) which allowed for the storage and retrieve massive amounts of data for a wide range of uses, from calculating inventory to supporting complicated human resources and financial accounting functions.

A database is a set of tables which organize data in accordance with a specific pattern, such as one-to-many relationships. It makes use of primary keys to identify records and permits cross-references between tables. Each table has a variety of fields, known as attributes, that provide information about the data entities. Relational models, invented by E. F. “Ted” Codd in the 1970s at IBM and IBM, are among the most popular database type in the present. This model is based on normalizing data to make it easier to use. It also makes it easier to update data since it eliminates the need to change different sections of the database.

Most DBMSs are able to support different types of databases by providing different internal and external levels of organization. The internal level is concerned with cost, scalability, and other operational issues, including the physical layout of the database. The external level is how the database is displayed in user interfaces and other applications. It could comprise a combination of different external views (based on the different data models) and could also include virtual tables that are created from generic data in order to improve performance.






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