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.
Related Blog articles
AI isn’t taking jobs, it’s creating opportunity: Insights from PwC’s 2025 Global AI Jobs Barometer

AI isn’t taking jobs, it’s creating opportunity: Insights from PwC’s 2025 Global AI Jobs Barometer

PwC’s 2025 AI Jobs Barometer reveals that AI isn’t replacing workers, it’s increasing their value....

Tech is the new English: Navigating the future of work

Tech is the new English: Navigating the future of work

In our recent round table, experts discussed the rapid evolution of technology, the importance of...

Start your career in Japan with the J-Find visa: a Le Wagon student’s journey

Start your career in Japan with the J-Find visa: a Le Wagon student’s journey

Thinking about launching your tech career in Japan? The J-Find visa might be your best...

Suscribe to our newsletter

Receive a monthly newsletter with personalized tech tips.