Expert SQL Server 2008 Development

Expert SQL Server 2008 Development is aimed at SQL Server developers ready to move beyond Books Online. Author and experienced developer Alastair Aitchison shows you how to think about SQL Server development as if it were any other type of development. You???ll learn to manage testing in SQL Server and to properly deal with errors and exceptions. The book also covers critical, database-centric topics such as managing concurrency and securing your data and code through proper privileges and authorization.

Alastair places focus on sound development and architectural practices that will help you become a better developer, capable of designing high-performance, robust, maintainable database applications. He shows you how to apply notable features in SQL Server such as encryption and support for hierarchical data. If developing for SQL Server is what puts the bread on your table, you can do no better than to read this book and to assimilate the expert-level practices that it provides.

• Promotes expert-level practices
• Leads to high performance, scalable code
• Improves productivity, getting you home in time for dinner

What you???ll learn

• How to productively handle errors and exceptions.
• How to exploit features for managing spatial and temporal data.
• How to manage tree-structured data using the new, hierarchid type.
• How to write code that easily survives high concurrency.
• How to program defensively.
• How to create proper and reusable test environments for your code.
• How to secure code and data through encryption and proper application of privilege.

Who this book is for

SQL Server developers and administrators.

Table of Contents

1. Software Development Methodologies for the Database World
2. Best Practices for Database Programming
3. Testing Database Routines
4. Errors and Exceptions
5. Privilege and Authorization
6. Encryption
7. SQLCLR: Architecture and Design Considerations
8. Dynamic T-SQL
9. Designing Systems for Application Concurrency
10. Working with Spatial Data
11. Working with Temporal Data
12. Trees, Hierarchies, and Graphs