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This guide covers essential PySpark operations for data cleaning, transformation, and analysis. Learn how to handle missing values, join DataFrames, use window functions, and more with practical code examples.

This guide explores how to handle semi-structured JSON data using PySpark. It details Spark's complex data types—Array, Struct, and Map—and demonstrates how to parse, access, and flatten nested JSON records for efficient data transformation.