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Saturday, July 11, 2026

ASP NetMVC Core Working With Data EntityFrameworkCore

ASP NetMVC Core Working With Data EntityFrameworkCore

Screenshot from the tutorial
Screenshot from the tutorial

ASP.NET MVC Core: Working with Data Using Entity Framework Core

In today's digital landscape, building robust applications requires a solid understanding of how to manage data effectively. One of the most popular frameworks for building web applications in .NET is ASP.NET MVC Core, and when it comes to data management, Entity Framework Core (EF Core) is the go-to solution. This blog post will provide a comprehensive tutorial on how to work with data in ASP.NET MVC Core using EF Core, inspired by the YouTube video titled "ASP NetMVC Core Working With Data EntityFrameworkCore."

What is ASP.NET MVC Core?

ASP.NET MVC Core is a modern web framework that combines the best aspects of MVC architecture with the capabilities of .NET Core. It allows developers to build dynamic, data-driven web applications that are scalable and maintainable.

What is Entity Framework Core?

Entity Framework Core is an object-relational mapper (ORM) for .NET. It enables developers to work with databases using .NET objects, significantly simplifying data access and manipulation. EF Core supports various database providers, including SQL Server, SQLite, and PostgreSQL, making it versatile for different application needs.

Setting Up Your ASP.NET MVC Core Project

Before diving into the implementation, ensure you have the following prerequisites installed:

  • .NET SDK (latest version)
  • Visual Studio or Visual Studio Code
  • SQL Server or another database of your choice

Step 1: Create a New ASP.NET MVC Core Project

To create a new ASP.NET MVC Core project, follow these steps:

  1. Open Visual Studio.
  2. Click on "Create a new project."
  3. Select "ASP.NET Core Web Application" and click "Next."
  4. Name your project and choose the location.
  5. In the "Create a new ASP.NET Core Web Application" window, select "Web Application (Model-View-Controller)" and click "Create."

Step 2: Add Entity Framework Core to Your Project

To integrate Entity Framework Core, you need to add the necessary NuGet packages. Open the NuGet Package Manager Console or use the command line and run the following commands:

dotnet add package Microsoft.EntityFrameworkCore
dotnet add package Microsoft.EntityFrameworkCore.SqlServer
dotnet add package Microsoft.EntityFrameworkCore.Tools

These commands will install EF Core and the SQL Server provider, along with tools for migrations.

Step 3: Create Your Data Model

Next, create a data model that represents your application's data structure. For instance, if you're building a simple application for managing books, you could define a Book class as follows:

public class Book
{
    public int Id { get; set; }
    public string Title { get; set; }
    public string Author { get; set; }
    public decimal Price { get; set; }
}

Step 4: Create the DbContext

The DbContext class is crucial as it acts as a bridge between your data model and the database. Define a new class called AppDbContext:

using Microsoft.EntityFrameworkCore;

public class AppDbContext : DbContext
{
    public AppDbContext(DbContextOptions<AppDbContext> options) : base(options) { }

    public DbSet<Book> Books { get; set; }
}

Step 5: Configure the Database Connection

Open the appsettings.json file and configure your database connection string:

{
  "ConnectionStrings": {
    "DefaultConnection": "Server=(localdb)\\mssqllocaldb;Database=BookStoreDb;Trusted_Connection=True;"
  }
}

Then, register the DbContext in Startup.cs:

public void ConfigureServices(IServiceCollection services)
{
    services.AddDbContext<AppDbContext>(options =>
        options.UseSqlServer(Configuration.GetConnectionString("DefaultConnection")));
    services.AddControllersWithViews();
}

Step 6: Create a Controller

Now, create a controller that will handle the CRUD operations for your Book model. Add a new controller called BooksController:

using Microsoft.AspNetCore.Mvc;
using System.Linq;

public class BooksController : Controller
{
    private readonly AppDbContext _context;

    public BooksController(AppDbContext context)
    {
        _context = context;
    }

    public IActionResult Index()
    {
        var books = _context.Books.ToList();
        return View(books);
    }

    public IActionResult Create()
    {
        return View();
    }

    [HttpPost]
    public IActionResult Create(Book book)
    {
        if (ModelState.IsValid)
        {
            _context.Books.Add(book);
            _context.SaveChanges();
            return RedirectToAction(nameof(Index));
        }
        return View(book);
    }
}

Step 7: Create Views

Finally, create views for displaying and creating books. In the Views/Books folder, create an Index.cshtml view to display the list of books:

@model IEnumerable<Book>

<h2>Books</h2>

<a href="/Books/Create">Create New Book</a>

<table>
    <thead>
        <tr>
            <th>Title</th>
            <th>Author</th>
            <th>Price</th>
        </tr>
    </thead>
    <tbody>
        @foreach (var book in Model)
        {
            <tr>
                <td>@book.Title</td>
                <td>@book.Author</td>
                <td>@book.Price</td>
            </tr>
        }
    </tbody>
</table>

And a Create.cshtml view to add new books:

@model Book

<h2>Create Book</h2>

<form asp-action="Create" method="post">
    <label>Title</label>
    <input asp-for="Title" />
    <label>Author</label>
    <input asp-for="Author" />
    <label>Price</label>
    <input asp-for="Price" />
    <button type="submit">Create</button>
</form>

Conclusion

In this tutorial, we covered the basics of setting up an ASP.NET MVC Core application integrated with Entity Framework Core for data management. We created a simple data model, configured the database context, and implemented basic CRUD operations in a controller.

By following these steps, you now have a foundational understanding of how to work with data in ASP.NET MVC Core using EF Core. To enhance your application further, consider exploring advanced topics like migrations, data validation, and relationships between data models.

Happy coding!

Another screenshot from the tutorial
Another view from the tutorial

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