Chapter 6 Flashcards

1
Q

What is normalization

A

Normalization is the process of efficiently organizing data in a database by splitting a relational table into smaller tables by projection. There are basically two goals of normalization as follows:

  • Eliminate redundant data (for example, storing the same data in more than one table)
  • Ensuring data dependencies make sense (only storing related data in a table).
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2
Q

What is normal form

A

The database community has developed a series of guidelines for ensuring that databases are indeed normalized.

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3
Q

How much levels are for normalization

A

5

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4
Q

What causes update anomalies

A

Redundancy

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5
Q

What are Update anomalies

A

Update anomalies are problems that arise when records are inserted, deleted, or updated in the database.

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6
Q

What is 1NF

A

As per First Normal Form, no two Rows of data must contain repeating group of information i.e each set of column must have a unique value, such that multiple columns cannot be used to fetch the same row.

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7
Q

What kind of denormalization done in dataware housing

A

Selective

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8
Q

Does OLAP denormalized

A

yes

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9
Q

Does update operation fast in normalization

A

Yes

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10
Q

Which normal form actually used in market

A

Up to 3rd

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11
Q

What are atomic values

A

The values which are not sum or aggregated. They are in raw form.

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12
Q

What is denormalization

A

We convert normal from to denormal form. We could take table from 2NF to 1NF. It means it is reverse of normalization

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13
Q

Does DWH normalize data

A

Yes

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14
Q

What is 2NF

A

Every non-key column is fully dependent on the PK

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15
Q

What is 3NF

A

All columns should be functionally dependent

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16
Q

Does deletion controlled in 3NF

A

Yes

17
Q

Data driven decision support system is driven by data. True / false

A

True

18
Q

What is knowledge base decision support system

A

Knowledge comes from data mining

19
Q

What are 2 types of data mining

A
  • Clustering

- Classification

20
Q

What is classification in data mining

A

The relationships in tables define rules

21
Q

What are 3 types of decision support system

A

knowledge driven decision support system
data driven decision support system
model driven decision support system

22
Q

What is model driven decision support system

A

Make model of tables relationships