Denormalized and normalized data

Denormalized data combines redundant data into one table while normalized data stores related data in separate tables. Each type has its pros and cons when analyzing data. However, for data modeling, normalized data is ideal. We will go into the process of converting denormalized data into normalized data in the next section.

The following table lists the important differences between normalization and denormalization:

Criteria	Normalized Data	Denormalized Data
Definition	Data is organized in such a way that each piece or dimension of the data is stored in only one place in separate tables.	Data is organized in such a way that multiple pieces of information are stored together in one place.
Duplication	There is minimal duplication...