Meaning of Data Transformation

Simple definition

Data transformation is the process of converting data from one format or structure to another to make it more usable for analysis.

How to use Data Transformation in a professional context

It’s a crucial step in data processing pipelines for data integration, reporting, and analytics.

Concrete example of Data Transformation

Converting raw sales data into a structured format for visualization in dashboards like Looker Studio.

Why is data transformation important?

It prepares data for analysis by cleaning, structuring, and standardizing it.

What are common transformation techniques?

Aggregation, normalization, and filtering are common methods.

Is data transformation automated?

Yes, many tools like ETL platforms automate the process.
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