Database Management Basics

Database management is the method to manage information that is essential to the company’s business operations. It involves storing data and distribution to applications and users, modifying it as necessary, monitoring changes in the data and preventing it from becoming corrupted due to unexpected failures. It is an integral part of the overall infrastructure of a company that aids in decision-making as well as corporate growth and 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 allowed for the storage and retrieve large amounts of information for a range of applications, from the calculation of inventory to supporting complicated human resources and financial accounting functions.

A database consists of a set of tables that organize data according to a certain schema, such as one-to many relationships. It uses primary key to identify records and allow cross-references between tables. Each table has a set of fields, referred to as attributes, that contain 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 in the present. This design is based upon normalizing data to make it easier to use. It also makes it simpler to update data by avoiding the necessity of changing many sections of the database.

Most DBMSs are able to support different types of databases and offer different internal and external levels of organization. The internal level is focused on cost, scalability, and other operational issues, such as the physical layout of the database. The external level is the representation of the database in user interfaces and applications. It could comprise a combination of various external views (based on the different data models) and could also include virtual tables that are constructed using generic data to improve performance.

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