Answer:
see explaination
Explanation:
a)
customerRecord.lastName
b)
customerPtr->lastName or (*customerPtr).lastName
c)
customerRecord.firstName
d)
customerPtr->firstName or (*customerPtr).firstName
e)
customerRecord.customerNumber
f)
customerPtr->customerNumber or (*customerPtr).customerNumber
g)
customerRecord.personal.phoneNumber
h)
customerPtr->personal.phoneNumber or (*customerPtr).personal.phoneNumber
i)
customerRecord.personal.address
j)
customerPtr->personal.address or (*customerPtr).personal.address
k)
customerRecord.personal.city
l)
customerPtr->personal.city or (*customerPtr).personal.city
m)
customerRecord.personal.state
n)
customerPtr->personal.state or (*customerPtr).personal.state
o)
customerRecord.personal.zipCode
p)
customerPtr->personal.zipCode or (*customerPtr).personal.zipCode
Answer:
Following are the difference to this question can be defined as follows:
Explanation:
- In terms of projections of information into a reduced dimension group, we can consider the dimension structure of PCA and SVD technologies.
- In cases of a change in the length, based on consolidation, there's also a unit with dimensions.
- When we consider that the days have been aggregated by days or the trade of a commodity can be aggregated to both the area of the dimension, accumulation can be seen with a variance of dimension.
What the phrase should say in Kim's SQL Query is; WHERE Customer = Sales Rep
<h3>What is SQL Query?</h3>
Structured Query Language (SQL) is defined as a standardized programming language that is used to manage relational databases and perform various operations on the data in them.
Now in SQL Query, when one SQL query is embedded in another SQL query to simulate a join, the second SQL query is embedded in the "WHERE" of the first query.
Since the query will pull a list of customers with outstanding orders and the sales rep for each order. Then, the where phrase will be;
WHERE Customer = Sales Rep
Read more about SQL Query at; brainly.com/question/10097523
