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One of the most effective ways to boost performance is to use **Vectorized UDFs**, also known as Pandas UDFs. Unlike regular UDFs that process data row by row, Pandas UDFs work on batches of data, which is much faster. This is because they leverage the Pandas library's vectorized operations. These UDFs require you to use the `@pandas_udf` decorator from `pyspark.sql.functions`.
