Hint

Swipe to navigate through the chapters of this book

2016 | OriginalPaper | Chapter

Scalar Datatype Reference

Authors: Louis Davidson, Jessica Moss

Publisher: Apress

Published in: Pro SQL Server Relational Database Design and Implementation

» Get access to the full version

Abstract

Choosing proper datatypes to match the domain to satisfy logical modeling is an important task. One datatype might be more efficient than another of a similar type. For example, you can store integer data in an integer datatype, a numeric datatype, a floating point datatype, a character type, or even a binary column, but these datatypes certainly aren’t alike in implementation or performance.

Please log in to get access to this content

To get access to this content you need the following product:

Computer Science Explorer

Purchase now

Title

Scalar Datatype Reference

Book

Pro SQL Server Relational Database Design and Implementation

Print ISBN: 978-1-4842-1972-0

Electronic ISBN: 978-1-4842-1973-7

https://doi.org/10.1007/978-1-4842-1973-7

DOI

https://doi.org/10.1007/978-1-4842-1973-7_15

Authors:

Louis Davidson
Jessica Moss

Publisher

Apress

Sequence number

Chapter number

Appendix A