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Common ETL patterns for PySpark

Update - 27 June 2022

Added notebook to add a reusable framework for parameter management in databricks notebooks

Update - 27 June 2022

Added notebook which includes reusable functionality to send beautiful spark dataframes in an email

Update - 15 June 2022

Added notebook to show an easy way of copying schema from one dataframe to another

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Common ETL patterns and utilities for PySpark. Notebooks tested on Databricks Community edition

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