Pro SQL Server Relational Database Design and Implementation, 6th Edition
eBook Details:
- Paperback: 1183 pages
- Publisher: WOW! eBook; 6th edition (December 15, 2020)
- Language: English
- ISBN-10: 1484264967
- ISBN-13: 978-1484264966
eBook Description:
Pro SQL Server Relational Database Design and Implementation: Best Practices for Scalability and Performance, 6th Edition: Covers the latest implementation features in SQL Server 2019
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.
What You Will Learn
- Develop conceptual models of client data using interviews and client documentation
- Implement designs that work on premises, in the cloud, or in a hybrid approach
- Recognize and apply common database design patterns
- Normalize data models to enhance integrity and scalability of your databases for 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
- Understand the concepts of concurrency
Designing an effective and scalable database using SQL Server 2019 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.