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I think @NathanKelly-ONS suggested this already in one of our whiteboard sessions but just adding it in as an issue now as I think it might be helpful for people asking about reducing resource use for migration.
Page should cover methods and useful packages for generating synthetic data (eg. faker for Python and fakeR for R) to support the existing big data workflow page.
Language Version
No response
Can this suggestion be used in Pyspark and / or SparklyR (Can select multiple)
Pyspark, SparklyR
Code snippets
No response
Code of Conduct
I agree to follow this project's Code of Conduct
The text was updated successfully, but these errors were encountered:
Summary of Content
I think @NathanKelly-ONS suggested this already in one of our whiteboard sessions but just adding it in as an issue now as I think it might be helpful for people asking about reducing resource use for migration.
Page should cover methods and useful packages for generating synthetic data (eg. faker for Python and fakeR for R) to support the existing big data workflow page.
Language Version
No response
Can this suggestion be used in Pyspark and / or SparklyR (Can select multiple)
Pyspark, SparklyR
Code snippets
No response
Code of Conduct
The text was updated successfully, but these errors were encountered: