Database Management Basics

Database management is the system for managing data that supports the business operations of an organization. It involves storing and distributing data it to users and applications making edits as needed and monitoring changes to data and protecting against data corruption due to unexpected failure. It is one component of an organization’s overall informational infrastructure, which supports decision-making and growth of the company as well as compliance with laws such as the GDPR and the California Consumer Privacy Act.

In the 1960s, Charles Bachman and IBM among others developed the first database systems. They developed into information management systems (IMS), which allowed huge amounts of data to be stored and retrieved for a variety of purposes. From calculating inventory, to aiding complicated financial accounting functions, and human resource functions.

A database is a collection of tables that store data in accordance with a certain scheme, like one-to many relationships. It uses primary keys to identify records and allows cross-references between tables. Each table is comprised of a set of fields, referred to as attributes, which provide information about data entities. Relational models, created by E. F. “TedCodd Codd in the 1970s at IBM and IBM, are among the most popular database type in the present. The design is based on normalizing the data, making it more easy to use. It also makes it easier to update data since it eliminates the necessity of changing different sections of the database.

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

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