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Learn effective and scalable database design techniques in a SQL Server 2016 and higher environment. This book is revised to cover in-memory online transaction processing, temporal data storage, row-level security, durability enhancements, and other design-related features that are new or changed in SQL Server 2016.
Designing an effective and scalable database using SQL Server is a task requiring skills that have been around for forty years coupled with technology that is constantly changing. Pro SQL Server Relational Database Design and Implementation covers everything from design logic that business users will understand, all the way to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, Louis Davidson shows how to "get it right" in SQL Server database design and lay a solid groundwork for the future use of valuable business data.
The pace of change in relational database management systems has been tremendous these past few years. Whereas in the past it was enough to think about optimizing data residing on spinning hard drives, today one also must consider solid-state storage as well as data that are constantly held in memory and never written to disk at all except as a backup. Furthermore, there is a trend toward hybrid cloud and on-premise database configurations as well a move toward preconfigured appliances. Pro SQL Server Relational Database Design and Implementation guides in the understanding of these massive changes and in their application toward sound database design.
- Gives a solid foundation in best practices and relational theory
- Covers the latest implementation features in SQL Server 2016
- Helps you master in-memory OLTP and use it effectively
- Takes you from conceptual design to an effective, physical implementation
What You Will Learn- Develop conceptual models of client data using interviews and client documentation
- Recognize and apply common database design patterns
- Normalize data models to enhance scalability and the long term use of valuable data
- Translate conceptual models into high-performing SQL Server databases
- Secure and protect data integrity as part of meeting regulatory requirements
- Create effective indexing to speed query performance
Who This Book Is ForProgrammers and database administrators of all types who want to use SQL Server to store data. The book is especially useful to those wanting to learn the very latest design features in SQL Server 2016, features that include an improved approach to in-memory OLTP, durability enhancements, temporal data support, and more. Chapters on fundamental concepts, the language of database modeling, SQL implementation, and of course, the normalization process, lay a solid groundwork for readers who are just entering the field of database design. More advanced chapters serve the seasoned veteran by tackling the very latest in physical implementation features that SQL Server has to offer. The book has been carefully revised to cover all the design-related features that are new in SQL Server 2016.
Sommario
1. The Fundamentals
2. Introduction to Requirements
3. The Language of Data Modeling
4. Conceptual and Logical Data Model Production
5. Normalization6. Physical Model Implementation Case Study
7. Expanding Data Protection with Check Constraints and Triggers
8. Patterns and Anti-Patterns9. Database Security and Security Patterns
10. Index Structures and Application
11. Matters of Concurrency
12. Reusable Standard Database Components13. Architecting Your System
14. Reporting Design
15. Appendix: Scalar Datatype Reference
