Database Management Basics - Vietpam

Database Management Basics

Database management is a method of coordinating the information that is used to support a company’s business operations. It involves storing data, distributing it to applications and users and editing it as required and monitoring changes to the data and preventing data corruption due to unexpected failure. It is an element of a company’s informational infrastructure, which supports decision-making and growth for the business as well as compliance with laws such as 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 evolved into information management systems (IMS) which made it possible to store and retrieve huge amounts of data for a variety of purposes, ranging from calculating inventory to supporting complex human resources and financial accounting functions.

A database consists of tables that are organized according to a particular scheme, such as one-to-many relationships. It uses primary keys to identify records and allow cross-references between tables. Each table has a set of fields, known as attributes, that provide information about the data entities. Relational models, developed by E. F. “TedCodd Codd in the 1970s at IBM and IBM, are the most popular database type currently. This design is based upon normalizing data to make it more user-friendly. It also makes it simpler to update data without the need to update several databases.

The majority of DBMSs are able to support multiple database types by providing different levels of external and internal organization. The internal level concerns cost, scalability, as well as 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 can include a mixture of different external views that are based on different data models. It also could include virtual tables that are calculated using generic data to improve the performance.


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