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Database design is the organization of data according to a database model.The designer determines what data must be stored and how the data elements interrelate. With this information, they can begin to fit the data to the database model. [1]
The relational model (RM) is an approach to managing data using a structure and language consistent with first-order predicate logic, first described in 1969 by English computer scientist Edgar F. Codd, [1] [2] where all data are represented in terms of tuples, grouped into relations.
A tutorial on the first 3 normal forms by Fred Coulson; Description of the database normalization basics by Microsoft; Normalization in DBMS by Chaitanya (beginnersbook.com) A Step-by-Step Guide to Database Normalization; ETNF – Essential tuple normal form Archived March 6, 2016, at the Wayback Machine
In the field of database design, a multi-model database is a database management system designed to support multiple data models against a single, integrated backend. In contrast, most database management systems are organized around a single data model that determines how data can be organized, stored, and manipulated. [1]
In computing, a database is an organized collection of data or a type of data store based on the use of a database management system (DBMS), the software that interacts with end users, applications, and the database itself to capture and analyze the data. The DBMS additionally encompasses the core facilities provided to administer the database.
Chip Somodevilla / Getty Images If you’re looking for inspiration when it comes to investing principles, you would be hard-pressed to find a better blueprint than Warren Buffett’s strategy.
Many Desperate Housewives fans are still mourning the death of Mike Delfino, 12 years later. But for actor James Denton, getting shot "was a lot of fun.". In a recent interview with PEOPLE, the ...
The following is provided as an overview of and topical guide to databases: Database – organized collection of data, today typically in digital form. The data are typically organized to model relevant aspects of reality (for example, the availability of rooms in hotels), in a way that supports processes requiring this information (for example, finding a hotel with vacancies).