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A Developer's Guide to Data Modeling for SQL Server: Covering SQL Server
2005 and 2008 (c) by Addison-Wesley Professional
The type of the release is: eBook
In the PDF format with ISBN: 0321497643 and Pub Date: July 04, 2008
The size of the release is: 01 disks x 2.88mb
And released on: 08/20/2008
“Eric and Joshua do an excellent job explaining the importance of data
modeling and how to do it correctly. Rather than relying only on
academic concepts, they use real-world examples to illustrate the
important concepts that many database and application developers tend to
ignore. The writing style is conversational and accessible to both
database design novices and seasoned pros alike. Readers who are
responsible for designing, implementing, and managing databases will
benefit greatly from Joshua’s and Eric’s expertise.”
—Anil Desai, Consultant, Anil Desai, Inc.
“Almost every IT project involves data storage of some kind, and for
most that means a relational database management system (RDBMS). This
book is written for a database-centric audience (database modelers,
architects, designers, developers, etc.). The authors do a great job of
showing us how to take a project from its initial stages of requirements
gathering all the way through to implementation. Along the way we learn
how to handle some of the real-world design issues that typically
surface as we go through the process.
“The bottom line here is simple. This is the book you want to have just
finished reading when your boss says ‘We have a new project I would like
your help with.’”
—Ronald Landers, Technical Consultant, IT Professionals, Inc.
“The Data Model is the foundation of the application. I’m pleased to see
additional books being written to address this critical phase. This book
presents a balanced and pragmatic view with the right priorities to get
your SQL server project off to a great start and a long life.”
—Paul Nielsen, SQL Server MVP, SQLServerBible.com
“This is a truly excellent introduction to the database design
methodology that will work for both novices and advanced designers. The
authors do a good job at explaining the basics of relational database
modeling and how they fit into modern business architecture. This book
teaches us how to identify the business problems that have to be
satisfied by a database and then proceeds to explain how to build a
solid solution from scratch.”
—Alexzander N. Nepomnjashiy, Microsoft SQL Server DBA, NeoSystems
North-West, Inc.
“A Developer’s 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.
“Eric Johnson and Joshua Jones combine a deep understanding of the
science of data modeling with the art that comes with years of
experience. If you’re new to data modeling, or find the need to brush up
on its concepts, this book is for you.”
—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
you’re modeling databases to run on Microsoft SQL Server 2008 or 2005,
theoretical or platform-agnostic data modeling knowledge isn’t enough:
models that don’t reflect SQL Server’s unique real-world strengths and
weaknesses often lead to disastrous performance. A Developer’s 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. You’ll begin with a concise, practical
overview of the core data modeling techniques. Next, you’ll walk through
requirements gathering and discover how to convert requirements into
effective SQL Server logical models. Finally, you’ll systematically
transform those logical models into physical models that make the most
of SQL Server’s extended functionality. All of this book’s many examples
are available for download from a companion Web site. This book enables
you to
- Understand your data model’s 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 models—from establishing naming guidelines through
implementing business rules and constraints
- Use SQL Server’s unique indexing capabilities, and overcome their
limitations
- Create abstraction layers that enhance security, extensibility, and
flexibility
http://www.amazon.com/exec/obidos/tg/detail/-/0321497643/