Expert SQL Server 2005 Development [electronic resource] /by Adam Machanic, Hugo Kornelis, Lara Rubbelke.
by Machanic, Adam [author.]; Kornelis, Hugo [author.]; Rubbelke, Lara [author.]; SpringerLink (Online service).
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BookPublisher: Berkeley, CA : Apress, 2007.Description: 472 p. online resource.ISBN: 9781430203339.Subject(s): Computer science | Software engineering | Computer Science | Software Engineering/Programming and Operating SystemsDDC classification: 005.1 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | QA76.758 (Browse shelf) | Available |
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Software Development Methodologies for the Database World -- Testing Database Routines -- Errors and Exceptions -- Privilege and Authorization -- Encryption -- SQLCLR: Architecture and Design Considerations -- Dynamic T-SQL -- Designing Systems for Application Concurrency -- Working with Spatial Data -- Working with Temporal Data -- Trees, Hierarchies, and Graphs.
While building on the skills you already have, Expert SQL Server 2005 Development will help you become an even better developer by focusing on best practices and demonstrating how to design high–performance, maintainable database applications. This book starts by reintroducing the database as a integral part of the software development ecosystem. You’ll learn how to think about SQL Server development as you would any other software development. For example, there's no reason you can’t architect and test database routines just as you would architect and test application code. And nothing should stop you from implementing the types of exception handling and security rules that are considered so important in other tiers, even if they are usually ignored in the database. You’ll learn how to apply development methodologies like these to produce high–quality encryption and SQLCLR solutions. Furthermore, you’ll discover how to exploit a variety of tools that SQL Server offers in order to properly use dynamic SQL and to improve concurrency in your applications. Finally, you’ll become well versed in implementing spatial and temporal database designs, as well as approaching graph and hierarchy problems.
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