Database management is a system for managing data that supports the organization’s business processes. It involves storing and distributing data it to applications and users and editing it when needed and monitoring changes to the data and making sure that data integrity is not compromised due to unexpected failure. It is an element dev-migrate.yourworld-cartel.com of a company’s informational infrastructure that aids in decision-making and growth of the company as well as compliance with laws like the GDPR and the California Consumer Privacy Act. The first database systems were developed in the 1960s by Charles Bachman, IBM and others. They evolved into information management systems (IMS) that allowed for the storage and retrieve massive amounts of data for a variety of purposes, ranging from calculating inventory to supporting complicated financial accounting and human resources functions. A database consists of tables that store data according to a particular scheme, such as one-to-many relationships. It makes use of primary keys to identify records, and allow cross-references between tables. Each table has a variety of fields, known as attributes, that provide information about the entities that comprise the data. Relational models, invented by E. F. “Ted” Codd in the 1970s at IBM as a database, are the most well-known database type in the present. This model is based on normalizing the data, making it more easy to use. It also makes it simpler to update data since it eliminates the need to update different sections of the database. Most DBMSs are able to support different types of databases, offering internal and external levels of organization. The internal level focuses on costs, scalability, and other operational concerns including the design of the database’s physical storage. The external level determines how the database is represented in user interfaces and other applications. It could comprise a combination of various external views (based on the different data models) and may include virtual tables that are created from generic data in order to improve performance.