Given a denormalized table Orders with columns OrderID, CustomerName, and CustomerAddress repeated in every row, what is a likely effect when updating a customer's address?

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SQL - Database Design and Normalization

Given a denormalized table Orders with columns OrderID, CustomerName, and CustomerAddress repeated in every row, what is a likely effect when updating a customer's address?

AYou must update the address in every order row for that customer

BUpdating one row automatically updates all related rows

CNo update is needed because address is stored separately

DThe database prevents duplicate addresses

Step-by-Step Solution

Solution:

Step 1: Understand denormalized update effects and analyze options
In denormalized tables, repeated data means updates must be applied to all copies to keep consistency. Only "You must update the address in every order row for that customer" correctly states that all rows must be updated manually.
Final Answer:
You must update the address in every order row for that customer -> Option A
Quick Check:
Repeated data requires multiple updates [OK]

Quick Trick: Repeated data means multiple updates needed for consistency [OK]

Common Mistakes:

Assuming one update changes all rows automatically
Thinking address is stored separately in denormalized tables
Believing database prevents duplicates in denormalized data

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Given a denormalized table Orders with columns OrderID, CustomerName, and CustomerAddress repeated in every row, what is a likely effect when updating a customer's address?

Step 1: Understand denormalized update effects and analyze options

Final Answer:

Quick Check:

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