Discover Entity Framework Core for efficient data access and relational mapping. Gain insights into workflows, model configuration, querying, change tracking, logging, and testing to boost productivity and code maintainability.

Using Entity Framework Core for Data Access & Relational Mapping.png

ScaffoldDB.tar.gz

EFCore

EFCorePreCreateTablesInOutputDir

EFCorePreCreateTablesAndViewInOutputDir

EFCoreWithProxies

EFCoreWithXunit

CreateSchoolTablesInOutputDir

This course introduces Entity Framework Core for data access and object-relational mapping. Entity Framework Core provides benefits such as the ability to work with databases using .NET objects without the concern for underlying database tables. This leads to less code for data access and improved performance. 

You’ll begin with the workflows of Entity Framework Core—reverse engineering and migrations. Next, you’ll learn model configuration and relationships. Then, you’ll cover various methods for querying and saving data. You’ll also learn about change tracking and its relationship with queries. Finally, you’ll learn about logging and testing.

Entity Framework Core simplifies app development. By the end of this course, you’ll be able to improve code maintainability and concentrate on business logic by generating SQL, materializing results, and performing other tasks. You’ll have a good understanding of Entity Framework Core, which will improve your productivity and efficiency on your development journey.

Using Entity Framework Core for Data Access & Relational Mapping

## Data seeding

Data seeding involves populating the database with initial data. It is useful for the following:

* Providing test data in a development environment.
* Setting up initial data in a development/production environment.

> **Note:** The commands in this lesson generate code and files. Through the terminal, we can navigate to these files by using relevant Linux commands such as `ls` to view a list of files and directories, `cd` to change directories, and `cat` to view file contents. A SPA widget showing the updated project with the generated files is also available. Also, note that EF Core uses a timestamp within the generated file names. We represent these names with `xxx`.

In an earlier lesson, we mentioned that the `Tags` table holds a set of categories for the artists’ albums. In this section, we use migrations to provide initial data for this table. One way to achieve this is via the `OnModelCreating` method of the context class. We’ll demonstrate using the project below:

# Data seeding

Data seeding involves populating the database with initial data. It is useful for the following:

* Providing test data in a development environment.
* Setting up initial data in a development/production environment.

> **Note:** The commands in this lesson generate code and files. Through the terminal, we can navigate to these files by using relevant Linux commands such as `ls` to view a list of files and directories, `cd` to change directories, and `cat` to view file contents. A SPA widget showing the updated project with the generated files is also available. Also, note that EF Core uses a timestamp within the generated file names. We represent these names with `xxx`.

In an earlier lesson, we mentioned that the `Tags` table holds a set of categories for the artists’ albums. In this section, we use migrations to provide initial data for this table. One way to achieve this is via the `OnModelCreating` method of the context class. We’ll demonstrate using the project below:

Learn how to seed data and use raw SQL in migrations.

Getting Started

Reverse Engineering

Migrations

Configuring a Model

Query Data

Save Data

Logging and Testing

Conclusion

Appendix

Data Seeding and Custom Migrations

Data seeding