Database Management Basics

Database management is a system for managing the data that a company needs to run its business operations. It includes data storage and distribution to applications and users and then modifying it if necessary and monitoring changes to the data and preventing it from getting damaged due to unexpected failures. It is a part of an organization’s overall informational infrastructure that aids in decision-making and growth for the business 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 evolved into the information management systems (IMS) which enabled the storage and retrieve massive amounts of data for a variety of applications, from the calculation of inventory to supporting complicated human resources and financial accounting functions.

A database is a set of tables that organize data according to some arrangement, like one-to-many relationships. It uses primary key to identify records and permits cross-references among tables. Each table contains a number of fields, also known as attributes, that contain information about the entities that comprise the data. Relational models, invented by E. F. “TedCodd Codd in the 1970s at IBM and IBM, are the most used database type in the present. The concept is based on normalizing data to make it more user-friendly. It is also easier to update data since it doesn’t require the modification of several databases.

The majority of DBMSs are able to support different types of databases by offering different levels of external and internal organization. The internal level is concerned with costs, scalability and other operational issues, like the physical layout of the database. The external level is how the database is displayed in user interfaces and other applications. It may include a mix of various external views (based on the different data models) and could also include virtual tables that are computed from data that is generic to enhance performance.

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