What is data transformation?

Updated May 15, 2026

Short answer

Data transformation converts data into a usable format.

Deep explanation

It includes normalization, aggregation, filtering, and encoding to prepare data for analytics or machine learning.

Real-world example

Converting raw logs into structured analytics tables.

Common mistakes

  • Over-transforming and losing original meaning.

Follow-up questions

  • What are common transformation types?
  • Is transformation always required?

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