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While Entity Framework Core 1.0 shares some conceptual similarities with prior versions of Entity Framework, it was a completely new codebase designed to be more efficient, powerful, flexible, and extensible, running on Windows, Linux and OSX, and supporting a new range of relational and NoSQL data stores. [15] Entity Framework Core 2.0 was ...
The Entity Framework enables developers to work with data in the form of domain-specific objects and properties, such as customers and customer addresses, without having to concern themselves with the underlying database tables and columns where this data is stored. With the Entity Framework, developers can work at a higher level of abstraction ...
Consequently, the ER model becomes an abstract data model, [1] that defines a data or information structure that can be implemented in a database, typically a relational database. Entity–relationship modeling was developed for database and design by Peter Chen and published in a 1976 paper, [ 2 ] with variants of the idea existing previously ...
Object–relational mapping (ORM, O/RM, and O/R mapping tool) in computer science is a programming technique for converting data between a relational database and the memory (usually the heap) of an object-oriented programming language. This creates, in effect, a virtual object database that can be used from within the programming language.
Database seeding is populating a database with an initial set of data. It is common to load seed data such as initial user accounts or dummy data upon initial setup of an application. Entity Framework
Data models provide a framework for data to be used ... a conceptual schema is the first step in organizing the data requirements. ... Example of an IDEF1X entity ...
As the two technologies are very different, the solution was to create an abstraction layer, insulating developers from writing the low-level procedural code specific to each data source. The first attempt came in 1992 with the release of Database Kit (DBKit), which wrapped an object-oriented framework around any database.
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] A database management system manages the data accordingly.