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Pro SQL Server relational database d...

Davidson, Louis.

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Pro SQL Server relational database design and implementation = best practices for scalability and performance /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pro SQL Server relational database design and implementation/ by Louis Davidson.
Reminder of title:	best practices for scalability and performance /
Author:	Davidson, Louis.
Published:	Berkeley, CA :Apress : : 2021.,
Description:	xxix, 1154 p. :ill., digital ;24 cm.
[NT 15003449]:	1. The Fundamentals -- 2. Introduction to Requirements -- 3. The Language of Data Modeling -- 4. Conceptual and Logical Data Model Production -- 5. Normalization -- 6. Physical Model Case Study -- 7. Physical Model Implementation -- 8. Data Protection Patterns with Check Constraints and Triggers -- 9. Patterns and Anti-Patterns -- 10. Database Security and Security Patterns -- 11. Data Structures, Indexes, and Their Applications -- 12. Matters of Concurrency -- 13. Coding Architecture -- 14. Appendix A: Scalar Datatype Reference.
Contained By:	Springer Nature eBook
Subject:	Client/server computing. -
Online resource:	https://doi.org/10.1007/978-1-4842-6497-3
ISBN:	9781484264973

Pro SQL Server relational database design and implementation = best practices for scalability and performance /
Davidson, Louis.

Pro SQL Server relational database design and implementationbest practices for scalability and performance /[electronic resource] :by Louis Davidson. - Sixth edition. - Berkeley, CA :Apress :2021. - xxix, 1154 p. :ill., digital ;24 cm.

1. The Fundamentals -- 2. Introduction to Requirements -- 3. The Language of Data Modeling -- 4. Conceptual and Logical Data Model Production -- 5. Normalization -- 6. Physical Model Case Study -- 7. Physical Model Implementation -- 8. Data Protection Patterns with Check Constraints and Triggers -- 9. Patterns and Anti-Patterns -- 10. Database Security and Security Patterns -- 11. Data Structures, Indexes, and Their Applications -- 12. Matters of Concurrency -- 13. Coding Architecture -- 14. Appendix A: Scalar Datatype Reference.

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. You will: 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.

ISBN: 9781484264973

Standard No.: 10.1007/978-1-4842-6497-3doiSubjects--Uniform Titles:

SQL server.
Subjects--Topical Terms:

532546
Client/server computing.

LC Class. No.: QA76.73.S67

Dewey Class. No.: 005.7585

Pro SQL Server relational database design and implementation = best practices for scalability and performance /
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245 1 0 $a Pro SQL Server relational database design and implementation $h [electronic resource] : $b best practices for scalability and performance / $c by Louis Davidson.
250 $a Sixth edition.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a xxix, 1154 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. The Fundamentals -- 2. Introduction to Requirements -- 3. The Language of Data Modeling -- 4. Conceptual and Logical Data Model Production -- 5. Normalization -- 6. Physical Model Case Study -- 7. Physical Model Implementation -- 8. Data Protection Patterns with Check Constraints and Triggers -- 9. Patterns and Anti-Patterns -- 10. Database Security and Security Patterns -- 11. Data Structures, Indexes, and Their Applications -- 12. Matters of Concurrency -- 13. Coding Architecture -- 14. Appendix A: Scalar Datatype Reference.
520 $a 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. You will: 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.
630 0 0 $a SQL server. $3 542688
650 0 $a Client/server computing. $3 532546
650 0 $a Relational databases. $3 539565
650 0 $a Database management. $3 527442
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950 $a Professional and Applied Computing (SpringerNature-12059)