Improve generation of data generation specification from existing schema or dataframe

databrickslabs / dbldatagen

Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines

https://databrickslabs.github.io/dbldatagen

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Improve generation of data generation specification from existing schema or dataframe #92

Closed ronanstokes-db closed 1 year ago

ronanstokes-db commented 2 years ago

Expected Behavior

Current Behavior

Steps to Reproduce (for bugs)

Context

Your Environment

dbldatagen version used:
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Cloud environment used:

ronanstokes-db commented 1 year ago

Next bug fix release will be 0.3.1

ronanstokes-db commented 1 year ago

Experimental initial implementation is implemented in v0.3.4