A Developer's Guide to Data Modeling for SQL Server
by Eric Johnson
2020-05-07 20:07:01
A Developer's Guide to Data Modeling for SQL Server
by Eric Johnson
2020-05-07 20:07:01
â A Developerâs Guide to Data Modeling for SQL Server explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and data-driven applications. âEric Johnson and ...
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â A Developerâs Guide to Data Modeling for SQL Server explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and data-driven applications. âEric Johnson and Joshua Jones combine a deep understanding of the science of data modeling with the art that comes with years of experience. If youâre new to data modeling, or find the need to brush up on its concepts, this book is for you.â â Peter Varhol, Executive Editor, Redmond Magazine Model SQL Server Databases That Work Better, Do More, and Evolve More Smoothly Effective data modeling is essential to ensuring that your databases will perform well, scale well, and evolve to meet changing requirements. However, if youâre modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic data modeling knowledge isnât enough: models that donât reflect SQL Serverâs unique real-world strengths and weaknesses often lead to disastrous performance. A Developerâs Guide to Data Modeling for SQL Server is a practical, SQL Server-specific guide to data modeling for every developer, architect, and administrator. This book offers you invaluable start-to-finish guidance for designing new databases, redesigning existing SQL Server data models, and migrating databases from other platforms. Youâll begin with a concise, practical overview of the core data modeling techniques. Next, youâll walk through requirements gathering and discover how to convert requirements into effective SQL Server logical models. Finally, youâll systematically transform those logical models into physical models that make the most of SQL Serverâs extended functionality. All of this bookâs many examples are available for download from a companion Web site. This book enables you to Understand your data modelâs physical elements, from storage to referential integrity Provide programmability via stored procedures, user-defined functions, triggers, and .NET CLR integration Normalize data models, one step at a time Gather and interpret requirements more effectively Learn an effective methodology for creating logical models Overcome modeling problems related to entities, attribute, data types, storage overhead, performance, and relationships Create physical modelsâfrom establishing naming guidelines through implementing business rules and constraints Use SQL Serverâs unique indexing capabilities, and overcome their limitations Create abstraction layers that enhance security, extensibility, and flexibility
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