been asked to store five attributes that poses the following analytical data types into a SQL Server relational data store. Identify and explain the data-type that you would select for each respective column when designing a table/relation that will house those five data attributes (assume that the order of the columns in the table will match the order of the data attributes listed below): 1. Interval attribute whose values are presented as textual data 2. Ordinal Attribute whose values are presented as numeric data 3. Ratio Attribute whose values are presented as numeric data 4. Nominal Attribute whose values are presented as textual data
been asked to store five attributes that poses the following analytical data types into a SQL Server relational data store. Identify and explain the data-type that you would select for each respective column when designing a table/relation that will house those five data attributes (assume that the order of the columns in the table will match the order of the data attributes listed below): 1. Interval attribute whose values are presented as textual data 2. Ordinal Attribute whose values are presented as numeric data 3. Ratio Attribute whose values are presented as numeric data 4. Nominal Attribute whose values are presented as textual data
Database Systems: Design, Implementation, & Management
12th Edition
ISBN:9781305627482
Author:Carlos Coronel, Steven Morris
Publisher:Carlos Coronel, Steven Morris
Chapter8: Advanced Sql
Section: Chapter Questions
Problem 18RQ
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6. You have been asked to store five attributes that poses the following analytical data types into a SQL Server relational data store. Identify and explain the data-type that you would select for each respective column when designing a table/relation that will house those five data attributes (assume that the order of the columns in the table will match the order of the data attributes listed below):
1. Interval attribute whose values are presented as textual data
2. Ordinal Attribute whose values are presented as numeric data
3. Ratio Attribute whose values are presented as numeric data
4. Nominal Attribute whose values are presented as textual data
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