APPENDIX BScalar Datatype Reference

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.

In this appendix, I'll introduce you to all the intrinsic datatypes that Microsoft provides and discuss the situations where they're best used. The following is a list of the datatypes I'll cover. I'll discuss when to use them and in some cases why not to use them.

  • Precise numeric data: Stores data with no loss of precision ...

Get Pro SQL Server 2008 Relational Database Design and Implementation now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.