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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.
Applying a schema migration to a production database is always a risk. Development and test databases tend to be smaller and cleaner. The data in them is better understood or, if everything else fails, the amount of data is small enough for a human to process. Production databases are usually huge, old and full of surprises.
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 migration is the process of selecting, preparing, extracting, and transforming data and permanently transferring it from one computer storage system to another. . Additionally, the validation of migrated data for completeness and the decommissioning of legacy data storage are considered part of the entire data migrati
Microsoft Sync Framework is a data synchronization platform from Microsoft that can be used to synchronize data across multiple data stores. Sync Framework includes a transport-agnostic architecture, into which data store-specific synchronization providers, modelled on the ADO.NET data provider API, can be plugged in. Sync Framework can be used for offline access to data, by working against a ...
Here's what Best Buy posted for the third quarter, compared to Bloomberg consensus data estimates: Adjusted earnings per share: $1.26 versus $1.29. Net sales: $9.45 billion versus $9.63 billion.
Stock market today: Asian shares are mostly lower ahead of key US inflation data. Finance. Reuters. In weight loss battle, Novo and Lilly face growing offensive from licensed copies. Food.
Database rows are mapped to objects (or class instances). You can build data models based on existing data sources or you can build data models from scratch, which you then use to create data structures (tables, columns, joins) in a data source. The result is that database records can be transposed into Java objects.