Database Management Basics

Database management is the method for managing information that aids the organization’s business processes. It includes data storage, distributing it to applications and users and then modifying it if necessary and monitoring the changes in the data and preventing it from becoming corrupted due to unexpected failures. It is part of the overall informational infrastructure of a company that assists in decision making in corporate growth, as well as compliance with laws such as the GDPR and the California Consumer Privacy Act.

The first database systems were invented in the 1960s by Charles Bachman, IBM and others. They evolved into the information management systems (IMS) which allowed for the storage and retrieve large amounts of data for a wide range of purposes, ranging from calculating inventory to supporting complicated financial accounting and human resources functions.

A database consists of tables that are organized in accordance with a specific pattern, for example, one-to-many relationships. It uses primary key to identify records and permits cross-references between tables. Each table is comprised of a set of fields called attributes that contain information about data entities. Relational models, which were developed by E. F. “Ted” Codd in the 1970s at IBM as a database, are the most popular database type currently. This design is based on normalizing data to make it simpler to use. It is also simpler to update data because it doesn’t require changing certain sections of the database.

Most DBMSs are able to support different types of databases by providing different internal and external levels of organization. The internal level is focused on cost, scalability, as well as other operational issues, such as the physical layout of the database. The external level is the way the database is displayed in user interfaces and other applications. It could include a mix of various external views based on different data models. It also may include virtual table that are calculated using generic data to enhance the performance.

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