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Glite Dictionary
🗄️ To add redundancy 📊 To restore scale
to denormalize

to denormalize

8.4
To change numbers back to their original units after processing
  • verb
  • /ˌdiːˈnɔːrməlaɪz/
  • Specialized
translation icon : desnormalizar
  • The software can automatically denormalize the values for easier comparison with the original dataset.

Examples

  • After processing, the analyst needed to denormalize the data to interpret the results correctly.

  • Before presenting the findings, she decided to denormalize the figures to make them more understandable.

  • You need to denormalize the data before analysis.

  • The database expert denormalized the tables for better performance.

  • After processing, the analyst needed to denormalize the data to interpret the results correctly.

  • Before presenting the findings, she decided to denormalize the figures to make them more understandable.

  • The software can automatically denormalize the values for easier comparison with the original dataset.

Synonyms

to scale
vsto denormalize
61 3.5

To change the size or amount of something to fit a standard

focuses on restoring original units rather than general size change
to rescale
vsto denormalize
1 5.0

Change the size or units of something so it fits new measurements

returns values specifically to their original units rather than changing size

Antonyms

to normalize
  • US
35 4.1

Make something usual or bring it back to its usual state

How Normalized

to normalize
  • US
35 4.1
to rescale
1 5.0
to denormalize
  • Specialized
8.4

Surface Forms

denormalize infinitive
denormalized past
denormalized past participle
denormalizing present participle
denormalizes third person singular

Morphology

denormalize = normalize (transparent) = de + normal + ize

This is a straightforward reversal of 'normalize', meaning to restore data from normalized values to original units or scale.

Etymology

Denormalize combines de- ('do the opposite') and normalize ('make values standard'), so it literally means to 'undo the scaling' of numbers. That's why analysts denormalize processed data to return values to their original units and make them easier to understand.