By Jennifer Constant | mai 18 , 2023 | 01Commentaires fermés sur Database Management Basics

Database management is the method for managing information that aids the organization’s business processes. It includes data storage and distribution to application programs and users, modifying it as necessary and monitoring the changes in the data and preventing it from becoming corrupted due to unexpected failures. It is a part of the informational 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.

In the 1960s, Charles Bachman and IBM along with others created the first database systems. They evolved into information management systems (IMS) which allowed large amounts of data to be stored and retrieved for a variety of purposes. From calculating inventory to supporting complex financial accounting functions and human resource functions.

A database consists of a set of tables that organize data according to a particular schema, such as one-to many relationships. It utilizes primary key to identify records and permits cross-references among tables. Each table has a set of fields, known as attributes, that provide information about the data entities. Relational models, created by E. F. “Ted” Codd in the 1970s at IBM and IBM, are the most used database type in the present. This design is based upon normalizing data to make it simpler to use. It also makes it simpler to update data by avoiding the need to change different sections of the database.

The majority of DBMSs support a variety of databases by providing different internal and external levels of organization. The internal level is focused on costs, scalability and other operational issues, such as the physical layout of the database. The external level determines how the database is displayed in user interfaces and other applications. It could include a mix of different external views (based on the various data models) and can also include virtual tables which are generated using generic data to improve performance.

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