What is data normalization from a transformation perspective?

< 1 min read

Data normalization means structuring data into organized, non-duplicated tables.
We separated repeating attributes into dimension tables.
In my project, customer details were moved out from transaction table.
Order table then stored only customer ID reference.
This reduced redundancy and data inconsistencies.
It improved model performance and storage efficiency.
Relationships became clearer for reporting and analysis.
Changes in customer data were maintained in one place.
Normalization also supported easier maintenance and scalability.
So it creates a clean and structured data model.

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