Entity Framework 4.0 Recipes: A Problem-Solution Approach

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Название: Entity Framework 4.0 Recipes: A Problem-Solution Approach

Автор:

Издательство: Apress

ISBN: 1430227036

Год: 2010

Количество страниц: 648

Формат: PDF

Размер: 18.3 Мб

Язык: Английский

Entity Framework 4.0 Recipes provides an exhaustive collection of ready-to-use code solutions for Microsoft’s Entity Framework, Microsoft’s vision for the future of

data access. Entity Framework is a model-centric data access platform with an ocean of new concepts and patterns for developers to learn. With this book, you will

learn the core concepts of Entity Framework through a broad range of clear and concise solutions to everyday data access tasks. Armed with this experience, you will be

ready to dive deep into Entity Framework, experiment with new approaches, and develop ways to solve even the most difficult data access challenges. If you are a

developer who likes to learn by example, then this is the right book for you.

Gives ready-to-use, real-world recipes to help you with everyday tasks

Provides guideposts for learning core concepts

Maps out key landmarks for experimenting with your own solutions

What you’ll learn

Solve the most common data access problems using Entity Framework.

Implement basic data access design patterns using Entity Framework.

Seamlessly model your solutions across both code and data.Improve data access performance.

Use data binding to simplify and reduce your code.

Leverage the recipes to empower your own exploration of Entity Framework.

Who is this book for?

This book is for anyone learning Microsoft’s Entity Framework—Microsoft’s new and primary data access platform. If you have ever struggled to learn a new technology,

programming model, or way of doing something, you know how helpful simple, real-world examples can be. For the beginning developer, this book provides concrete

examples for common data access tasks. For developers with experience with previous Microsoft access platforms, this book provides a task-by-task mapping between

previous approaches and the patterns used in Entity Framework.

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