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Filip Ekberg
Most applications, if not all, need to work with some kind of data, a database, for example. Having a good strategy for how to decouple the specific data layer is crucial in order to make your application testable and maintainable. In this course, C# Design Patterns: Data Access Patterns, you’ll learn foundational knowledge of the different data access patterns. First, you'll learn how to implement the repository pattern and decouple parts of the application from the data layer. Then, you'll develop an understanding of where this pattern is applicable. Next, you’ll discover how to easily refactor an application to leverage the unit...
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Most applications, if not all, need to work with some kind of data, a database, for example. Having a good strategy for how to decouple the specific data layer is crucial in order to make your application testable and maintainable. In this course, C# Design Patterns: Data Access Patterns, you’ll learn foundational knowledge of the different data access patterns. First, you'll learn how to implement the repository pattern and decouple parts of the application from the data layer. Then, you'll develop an understanding of where this pattern is applicable. Next, you’ll discover how to easily refactor an application to leverage the unit of work pattern, making the application even better. Finally, you'll explore how to leverage lazy loading to avoid unnecessary data being loaded into your application. When you’re finished with this course, you'll have the skills and knowledge of these different data access patterns and what is needed to apply this in your solutions.
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Teaches core data access patterns in C#, a widely-used programming language for data-driven applications
Instructed by Filip Ekberg, known for his expertise and experience in C# data access patterns
Builds a foundational understanding of the repository pattern, which isolates application logic from data access concerns
Covers the unit of work pattern to manage changes to multiple objects as a single transaction
Introduces lazy loading to optimize performance by loading data only when it's needed

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Career center

Learners who complete C# Design Patterns: Data Access Patterns will develop knowledge and skills that may be useful to these careers:
Software Engineer
Software Engineers design, develop, test, and maintain software systems. This course can help Software Engineers by providing a strong foundation in data access patterns, which are essential for building scalable and maintainable software applications. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Software Engineers to understand.
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course can help Data Analysts by providing a strong foundation in data access patterns, which are essential for working with large and complex datasets. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Data Analysts to understand.
Database Administrator
Database Administrators are responsible for the management and maintenance of databases. This course can help Database Administrators by providing a deep understanding of data access patterns, which are essential for optimizing database performance and ensuring data integrity. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Database Administrators to understand.
Business Analyst
Business Analysts work with businesses to identify and solve problems. This course can help Business Analysts by providing a strong foundation in data access patterns, which are essential for understanding the data that drives businesses. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Business Analysts to understand.
Game Developer
Game Developers design and develop video games. This course can help Game Developers by providing a strong foundation in data access patterns, which are essential for building scalable and maintainable video games. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Game Developers to understand.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. This course can help DevOps Engineers by providing a strong foundation in data access patterns, which are essential for building scalable and maintainable software applications. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for DevOps Engineers to understand.
Software Architect
Software Architects design and implement software systems. This course can help Software Architects by providing a strong foundation in data access patterns, which are essential for building scalable and maintainable software applications. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Software Architects to understand.
Mobile Developer
Mobile Developers design and develop mobile applications. This course can help Mobile Developers by providing a strong foundation in data access patterns, which are essential for building scalable and maintainable mobile applications. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Mobile Developers to understand.
Database Developer
Database Developers design and develop databases. This course can help Database Developers by providing a strong foundation in data access patterns, which are essential for building scalable and maintainable databases. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Database Developers to understand.
Quality Assurance Analyst
Quality Assurance Analysts test software applications to ensure that they meet quality standards. This course can help Quality Assurance Analysts by providing a strong foundation in data access patterns, which are essential for testing the data layer of software applications. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Quality Assurance Analysts to understand.
Project Manager
Project Managers plan, execute, and close projects. This course can help Project Managers by providing a strong foundation in data access patterns, which are essential for managing project data and ensuring that projects are completed on time and within budget. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Project Managers to understand.
Technical Architect
Technical Architects design and implement technical solutions for businesses. This course can help Technical Architects by providing a strong foundation in data access patterns, which are essential for building scalable and maintainable software systems. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Technical Architects to understand.
Data Scientist
Data Scientists use data to solve business problems. This course can help Data Scientists by providing a strong foundation in data access patterns, which are essential for working with large and complex datasets. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Data Scientists to understand.
Web Developer
Web Developers design and develop websites. This course can help Web Developers by providing a strong foundation in data access patterns, which are essential for building scalable and maintainable websites. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Web Developers to understand.
Data Engineer
Data Engineers design and implement data pipelines. This course can help Data Engineers by providing a strong foundation in data access patterns, which are essential for building scalable and maintainable data pipelines. The course covers topics such as the repository pattern, unit of work pattern, and lazy loading, which are all important concepts for Data Engineers to understand.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in C# Design Patterns: Data Access Patterns.
A classic in the field of software design, this book provides a comprehensive overview of architectural patterns and provides background and context when working with design patterns.
Specifically focuses on data access patterns and provides a comprehensive overview.
Provides an in-depth look at designing and building data-intensive applications, and can provide additional depth and context to the course material.
Provides a comprehensive overview of software architecture and design, and can provide a solid foundation for understanding design patterns.
Focuses specifically on the lazy loading design pattern in C# and can provide additional depth and context.
A seminal work in the field of domain-driven design, this book can provide depth and breadth to your understanding of design patterns, though it has a steeper learning curve.
Provides an in-depth look at Entity Framework Core 2.0, and can be a valuable resource if you're using this framework in your projects.
Provides an in-depth look at Entity Framework Core, and can be a valuable resource if you're using this framework in your projects.
While not specific to data access patterns, this book provides a solid foundation in unit testing, which can be especially helpful when working with design patterns.

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