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Entity Framework Core 3.0 was released on 23 September 2019 (5 years ago) () along with Visual Studio 2019 16.3 and ASP.NET Core 3.0, [19] Entity Framework Core 3.1 (EF Core 3.1) was formally released for production use on 3 December 2019 (5 years ago) () and will be the preferred long-term supported version until at least 3 December 2022.
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
A schema migration is performed on a database whenever it is necessary to update or revert that database's schema to some newer or older version. Migrations are performed programmatically by using a schema migration tool. When invoked with a specified desired schema version, the tool automates the successive application or reversal of an ...
Laminas, framework that includes a table data gateway and row data gateway implementations; Qcodo, ORM and framework, open source; Redbean, ORM layer for PHP, for creating and maintaining tables on the fly, open source, BSD; Skipper, visualization tool and a code/schema generator for PHP ORM frameworks, commercial
Migration can involve moving to new hardware, new software, or both. Migration can be small-scale, such as migrating a single system, or large-scale, involving many systems, new applications, or a redesigned network. [23] One can migrate data from one kind of database to another kind of database.
Dapper is an object–relational mapping (ORM) product for the Microsoft .NET platform. It provides a framework for mapping an object-oriented domain model to a traditional relational database. [4]
Crosswalk tables are often employed within or in parallel to enterprise systems, especially when multiple systems are interfaced or when the system includes legacy system data. In the context of Interfaces, they function as an internal extract, transform, load (ETL) mechanism. For example, this is a metadata crosswalk from MARC standards to ...
Upsizing is the term coined by Microsoft to describe the process of upgrading Microsoft Access Database to a Microsoft SQL Server.This allows to continue using Microsoft Access as a database front-end whereas the actual back-end is served by a separate local or remote SQL Server allowing much higher productivity and data volumes.