Pro SQL Server Relational Database Design and Implementation

Best Practices for Scalability and Performance
 
 
Apress
  • 6. Auflage
  • |
  • erschienen am 24. Dezember 2020
  • |
  • XXIX, 1154 Seiten
 
E-Book | PDF mit Adobe-DRM | Systemvoraussetzungen
978-1-4842-6497-3 (ISBN)
 
Learn effective and scalable database design techniques in SQL Server 2019 and other recent SQL Server versions. This book is revised to cover additions to SQL Server that include SQL graph enhancements, in-memory online transaction processing, temporal data storage, row-level security, and other design-related features. This book will help you design OLTP databases that are high-quality, protect the integrity of your data, and perform fast on-premises, in the cloud, or in hybrid configurations. Designing an effective and scalable database using SQL Server is a task requiring skills that have been around for well over 30 years, using technology that is constantly changing. This book covers everything from design logic that business users will understand to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, author Louis Davidson shows you how to "get it right" in SQL Server database design and lay a solid groundwork for the future use of valuable business data.What You Will LearnDevelop conceptual models of client data using interviews and client documentationImplement designs that work on premises, in the cloud, or in a hybrid approachRecognize and apply common database design patternsNormalize data models to enhance integrity and scalability of your databases for the long-term use of valuable dataTranslate conceptual models into high-performing SQL Server databasesSecure and protect data integrity as part of meeting regulatory requirementsCreate effective indexing to speed query performanceUnderstand the concepts of concurrencyWho This Book Is ForProgrammers and database administrators of all types who want to use SQL Server to store transactional data. The book is especially useful to those wanting to learn the latest database design features in SQL Server 2019 (features that include graph objects, in-memory OLTP, temporal data support, and more). Chapters on fundamental concepts, the language of database modeling, SQL implementation, and 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 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 2019.
6th ed.
  • Englisch
  • CA
  • |
  • USA
APRESS
  • 220
  • |
  • 220 s/w Abbildungen
  • 14,26 MB
978-1-4842-6497-3 (9781484264973)
10.1007/978-1-4842-6497-3
weitere Ausgaben werden ermittelt
Louis Davidson has been working with databases for more than 20 years as a corporate database developer and architect. He has been a Microsoft MVP for 15 years. And he has completed a sixth edition of his SQL Server database design book (Apress). Louis has been active speaking about database design and implementation at many conferences over the past 17 years, including SQL PASS, SQL Rally, SQL Saturday events, CA World, Music City Data, and the devLink Technical Conference. Louis has worked for the Christian Broadcasting Network (CBN) as a developer, DBA, and data architect for over 21 years. He has a bachelor's degree in computer science from the University of Tennessee at Chattanooga. For more information, please visit his website at drsql.org.


1. The Fundamentals2. Introduction to Requirements3. The Language of Data Modeling4. Conceptual and Logical Data Model Production5. Normalization6. Physical Model Case Study7. Physical Model Implementation 8. Data Protection Patterns with Check Constraints and Triggers9. Patterns and Anti-Patterns10. Database Security and Security Patterns11. Data Structures, Indexes, and Their Applications12. Matters of Concurrency13. Coding Architecture 14. Appendix A: Scalar Datatype Reference.

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