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
Tokyo Founders Night: what it takes to build a startup today

Tokyo Founders Night: what it takes to build a startup today

On a rainy evening in Tokyo, founders, aspiring entrepreneurs and students came to the Google...

Alumni Story: how Matt launched a music royalty tech startup in Seoul | Le Wagon

Alumni Story: how Matt launched a music royalty tech startup in Seoul | Le Wagon

After years spent producing music, Matt realized the industry's royalty systems were broken and decided...

Alexandre, bridging the technical gap at Revolut

Alexandre, bridging the technical gap at Revolut

Alexandre works in sales at Revolut. When clients ask technical questions, he doesn't need to...

Suscribe to our newsletter

Receive a monthly newsletter with personalized tech tips.