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SQLquery~5 mins

Why normalization matters in SQL - Quick Recap

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Recall & Review
beginner
What is normalization in databases?
Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.
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beginner
Why does normalization reduce data redundancy?
Normalization breaks data into smaller tables and links them, so the same data is not stored multiple times.
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intermediate
How does normalization improve data integrity?
By organizing data into related tables, normalization ensures updates happen in one place, preventing inconsistent data.
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beginner
What problems can occur without normalization?
Without normalization, databases can have duplicate data, inconsistent updates, and wasted storage space.
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intermediate
How does normalization help when updating data?
Normalization means you update data in one place only, so changes are consistent everywhere the data is used.
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What is the main goal of normalization?
AReduce data redundancy
BMake queries slower
CStore data in one big table
DAvoid using keys
Which problem does normalization help prevent?
AFaster data entry
BData inconsistency
CMore data duplication
DIgnoring relationships
How does normalization affect storage space?
AIt has no effect
BIt increases wasted space
CIt reduces wasted space
DIt deletes data
What happens when you update data in a normalized database?
AYou must update multiple tables
BUpdates are not allowed
CData becomes inconsistent
DYou update it in one place only
Which of these is NOT a benefit of normalization?
AFaster data retrieval in all cases
BReduced data redundancy
CImproved data integrity
DEasier maintenance
Explain why normalization is important for maintaining consistent data.
Think about what happens if the same data is stored in many places.
You got /3 concepts.
    Describe the problems that can arise if a database is not normalized.
    Imagine updating a phone number stored in many tables separately.
    You got /4 concepts.