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Microsoft .NET

Architecting Applications for the Enterprise

Viac o knihe

Make the right architectural decisions up front—and improve the quality and reliability of your results. Led by two enterprise programming experts, you’ll learn how to apply the patterns and techniques that help control project complexity—and make systems easier to build, support, and upgrade—right from the start.Get pragmatic architectural guidance on how to: Build testability, maintainability, and security into your system early in the design Expose business logic through a service-oriented interface Choose the best pattern for organizing business logic and behavior Review and apply the patterns for separating the UI and presentation logic Delve deep into the patterns and practices for the data access layer Tackle the impedance mismatch between objects and data Minimize development effort and avoid over-engineering—and deliver more robust resultsGet code samples on the Web.

Nákup knihy

Microsoft .NET, Dino Esposito, Andrea Saltarello

Jazyk
Rok vydania
2008
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Cena
4,39 €

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Titul
Microsoft .NET
Podtitul
Architecting Applications for the Enterprise
Jazyk
anglicky
Vydavateľ
Microsoft Press
Rok vydania
2008
Väzba
mäkká
Počet strán
433
ISBN10
073562609X
ISBN13
9780735626096
Série
Anotácia
Make the right architectural decisions up front—and improve the quality and reliability of your results. Led by two enterprise programming experts, you’ll learn how to apply the patterns and techniques that help control project complexity—and make systems easier to build, support, and upgrade—right from the start.Get pragmatic architectural guidance on how to: Build testability, maintainability, and security into your system early in the design Expose business logic through a service-oriented interface Choose the best pattern for organizing business logic and behavior Review and apply the patterns for separating the UI and presentation logic Delve deep into the patterns and practices for the data access layer Tackle the impedance mismatch between objects and data Minimize development effort and avoid over-engineering—and deliver more robust resultsGet code samples on the Web.