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Industry
general
Skills
data-wrangling
Tools
databricks
Learning Objectives
Identify scenarios where built-in PySpark functions may fall short for data transformations.
Create and utilize UDFs in PySpark & SQL for handling complex transformations.
Overview
This module focuses on addressing complex data transformation challenges in PySpark and SQL where built-in functions are insufficient. You'll learn to leverage UDFs to resolve such queries efficiently and ensure data consistency.
Prerequisites
Be familiar with functions in Python and SQL.
Understand the basics of working with PySpark Dataframes.
TM
