data-transformation

Vocabulary Word

Definition

'Data-transformation' is when you change data into a different format that's easier to understand and use. It's like rearranging your room to make it more comfortable and useful.

Examples in Different Contexts

In ETL (Extract, Transform, Load) processes, 'data-transformation' is critical for cleaning and restructuring data before it's loaded into a data warehouse. An ETL developer might explain, 'Through data-transformation, we standardize and enrich data, making it more useful for business intelligence.'

Practice Scenarios

Academics

Scenario:

The experiment showed wide-ranging results. To compare them properly, we would need to adjust their scales.

Response:

I see your point. Performing a proper data transformation would help standardize our results for comparison.

Scenario:

The machine learning model's accuracy isn't satisfactory. If we prepare the data more properly, it could significantly improve performance.

Response:

That's true. By executing more rigorous data transformation procedures, we may enhance the model's accuracy.