How do we use the chained .option() builder pattern to treat the first row of a CSV as column headers?
The option('header', 'true') builder method instructs Spark to parse the first record as column names.
Preventing header lines from being incorrectly processed as data rows in financial transactions.
df = spark.read.option("header", "true") \
.csv("data/transactions.csv")Practice typing production-grade PySpark code for Handling CSV Headers with option().