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Implementing Unit of Work, Repository Pattern and Mapster with .NET 8 and Clean Architecture

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Welcome to the seventh video in our rent-me booking app series! In this crucial episode, we're diving deep into architectural patterns and object mapping that will elevate our application's design and maintainability.
Join us as we implement:
The Repository Pattern: Learn how to abstract data access logic and promote separation of concerns.
Unit of Work Pattern: Discover how to manage database transactions and ensure data consistency across multiple operations.
Mapster: Explore this fast, flexible object-to-object mapping library to simplify data transformations.
We'll walk you through:
Creating repository interfaces and implementations
Designing a Unit of Work class to coordinate multiple repositories
Setting up and configuring Mapster for efficient object mapping
Integrating these patterns and tools within our clean architecture
By the end of this video, you'll have a robust data access layer that's flexible, testable, and efficient at handling data transformations. You'll see how Mapster can streamline the mapping process between your domain models, DTOs, and database entities.
Whether you're building a small application or preparing for larger projects, these patterns and tools will set you up for success in creating maintainable, scalable applications.
Perfect for developers looking to level up their architectural skills and optimize data handling in their applications.
00:00 - Intro
01:00 - Repository Pattern
15:00 - Unit of Work
22:02 - Mapster Configuration
#RepositoryPattern #UnitOfWork #Mapster #CleanArchitecture #SoftwareDesign #WebDevelopment #ObjectMapping #DatabaseAccess #BookingApp #AdvancedProgramming
Join us as we implement:
The Repository Pattern: Learn how to abstract data access logic and promote separation of concerns.
Unit of Work Pattern: Discover how to manage database transactions and ensure data consistency across multiple operations.
Mapster: Explore this fast, flexible object-to-object mapping library to simplify data transformations.
We'll walk you through:
Creating repository interfaces and implementations
Designing a Unit of Work class to coordinate multiple repositories
Setting up and configuring Mapster for efficient object mapping
Integrating these patterns and tools within our clean architecture
By the end of this video, you'll have a robust data access layer that's flexible, testable, and efficient at handling data transformations. You'll see how Mapster can streamline the mapping process between your domain models, DTOs, and database entities.
Whether you're building a small application or preparing for larger projects, these patterns and tools will set you up for success in creating maintainable, scalable applications.
Perfect for developers looking to level up their architectural skills and optimize data handling in their applications.
00:00 - Intro
01:00 - Repository Pattern
15:00 - Unit of Work
22:02 - Mapster Configuration
#RepositoryPattern #UnitOfWork #Mapster #CleanArchitecture #SoftwareDesign #WebDevelopment #ObjectMapping #DatabaseAccess #BookingApp #AdvancedProgramming