Overview
- Pro Entity Framework 4.0 is a professional-level guide to Microsoft's Entity Framework, the future of data access in .NET programming.
- Readers learn to implement easy-to-program and highly-performing database access solutions.
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About this book
Previously, SQL developers have been able to almost entirely ignore the SQLCLR and treat it as a peripheral technology—almost an extension to the main product. With the advent of LINQ and the Entity Framework, this is no longer the case, and the SQLCLR is moving to the center stage. It’s a powerful product but, for many, it is an entirely new way of working with data. Pro Entity Framework 4.0 will help readers understand the implications of the Entity Framework and how it can be used to change their development practices and make their databases more powerful and flexible. Since many readers will be encountering this subject for the first time, the book will create an inclusive environment in which the concepts of .NET development are approached from the perspective of the Relational T–SQL developer to foster a sense of shared–ownership in keeping with Microsoft’s latest best practices.
- Comprehensive coverage of the new greater and more challenging integration with .NET 3.5
- Written from a real–world perspective and examines the features offered by LINQ and the Entity Framework that will help solve problems experienced by professional developers
- Contains insight, interpretation, analysis, and evangelism instead of just plain fact
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Table of contents (13 chapters)
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Bibliographic Information
Book Title: Pro Entity Framework 4.0
Authors: Scott Klein
DOI: https://doi.org/10.1007/978-1-4302-0647-7
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Scott Klein 2010
Softcover ISBN: 978-1-59059-990-7Published: 25 March 2010
eBook ISBN: 978-1-4302-0647-7Published: 29 April 2010
Edition Number: 1
Number of Pages: VIII, 280
Topics: Microsoft and .NET, Data Structures and Information Theory, Database Management