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- Author: Keenan Newton
- Publisher: Apress
- ISBN-10: 1484220269
- ISBN-13: 9781484220269
- Format: 17.8 x 25.4 x 2.7 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
The Definitive Guide to the Microsoft Enterprise Library (e-book) (used book) | bookbook.eu
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Description
This is the first book to introduce all ten of the enterprise application blocks, which have been recently updated for .NET 2.0. It introduces one of the most exciting and popular .NET-oriented initiatives; the Enterprise Application Library, which offers nine classes of reusable code used to solve a variety of common problem spaces. With this book readers will be able to build .NET applications faster and more efficiently by taking advantage of readily available code developed and released by Microsoft's Patterns and Practices group (http: //msdn.microsoft.com/practices/). It covers a number of topics, including configuration, data access, exception management, caching, application updates, UI separation, asynchronous invocation, logging, security, and XML-based information aggregation.
EXTRA 10 % discount with code: EXTRA
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- Author: Keenan Newton
- Publisher: Apress
- ISBN-10: 1484220269
- ISBN-13: 9781484220269
- Format: 17.8 x 25.4 x 2.7 cm, softcover
- Language: English English
This is the first book to introduce all ten of the enterprise application blocks, which have been recently updated for .NET 2.0. It introduces one of the most exciting and popular .NET-oriented initiatives; the Enterprise Application Library, which offers nine classes of reusable code used to solve a variety of common problem spaces. With this book readers will be able to build .NET applications faster and more efficiently by taking advantage of readily available code developed and released by Microsoft's Patterns and Practices group (http: //msdn.microsoft.com/practices/). It covers a number of topics, including configuration, data access, exception management, caching, application updates, UI separation, asynchronous invocation, logging, security, and XML-based information aggregation.
Reviews