Monthly Archives: May 2023
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Database Management Basics
Database management is a system for managing the data that supports a company’s business operations. It includes data storage, distributing it to users and applications making changes as needed, monitoring changes in the data and preventing it from being damaged by unexpected failure. It is an element of an organization’s overall informational infrastructure which aids in decision making and corporate growth, 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) which allowed large amounts 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 set of tables which organize data in accordance with a certain scheme, like one-to many relationships. It uses the primary key to identify records, and also allows cross-references between tables. Each table has a variety of fields, referred to as attributes, that represent facts about the entities that comprise novofranchising.com.br the data. The most widely used type of database that is currently in use is a relational model, developed by E. F. “Ted” Codd at IBM in the 1970s. This model is based on normalizing data to make it easier to use. It also makes it simpler to update data since it eliminates the need to change various databases.
Most DBMSs support multiple database types by providing different levels of internal and external organization. The internal level is concerned with cost, scalability, and other operational issues, including the physical layout of the database. The external level is how the database is represented in user interfaces and other applications. It could comprise a combination of different external views (based on the different data models) and could also include virtual tables that are constructed from generic data in order to improve performance.